From ed64d49a88c036a19c3d750485cd145c2a8b012d Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sun, 2 Jun 2024 22:28:43 +0200 Subject: [PATCH 01/35] FIX: the joint detector was not updated strange, now it's ok --- .../components/DF_load_mesh_from_file/code.py | 12 ++-- src/gh/components/DF_xml_exporter/code.py | 63 ++++++++++-------- .../__pycache__/df_geometries.cpython-39.pyc | Bin 10763 -> 10763 bytes .../df_joint_detector.cpython-39.pyc | Bin 4094 -> 4134 bytes .../__pycache__/df_util.cpython-39.pyc | Bin 3239 -> 3239 bytes .../diffCheck/diffCheck/df_joint_detector.py | 51 ++++---------- 6 files changed, 55 insertions(+), 71 deletions(-) diff --git a/src/gh/components/DF_load_mesh_from_file/code.py b/src/gh/components/DF_load_mesh_from_file/code.py index baa1fac8..39b5ac8d 100644 --- a/src/gh/components/DF_load_mesh_from_file/code.py +++ b/src/gh/components/DF_load_mesh_from_file/code.py @@ -46,9 +46,9 @@ def RunScript(self, return rh_mesh -# if __name__ == "__main__": -# com = DFLoadMeshFromFile() -# o_rh_mesh = com.RunScript( -# i_path,n -# i_scalef -# ) \ No newline at end of file +if __name__ == "__main__": + com = DFLoadMeshFromFile() + o_rh_mesh = com.RunScript( + i_path, + i_scalef + ) \ No newline at end of file diff --git a/src/gh/components/DF_xml_exporter/code.py b/src/gh/components/DF_xml_exporter/code.py index aeca5c84..8ae7c5c9 100644 --- a/src/gh/components/DF_xml_exporter/code.py +++ b/src/gh/components/DF_xml_exporter/code.py @@ -25,41 +25,48 @@ def RunScript(self, :param i_export_dir: directory to export the xml :param i_breps: list of breps """ - # beams - # beams: typing.List[DFBeam] = [] - # for brep in i_breps: - # beam = DFBeam.from_brep(brep) - # beams.append(beam) - - # # assembly - # assembly1 = DFAssembly(beams, i_assembly_name) + o_xml = None + o_joints = None + o_sides = None + o_debug = None - # # dump the xml - # xml: str = assembly1.to_xml() - # if i_dump: - # assembly1.dump_xml(xml, i_export_dir) - # o_xml = xml - - # # show the joint/side faces - # o_joints = [jf.to_brep() for jf in assembly1.all_joint_faces] - # o_sides = [sf.to_brep() for sf in assembly1.all_side_faces] + # beams + beams: typing.List[DFBeam] = [] + for brep in i_breps: + print(f"Processing brep {brep}") + print(f"Type: {type(brep)}") + beam = DFBeam.from_brep(brep) + beams.append(beam) + + # assembly + assembly1 = DFAssembly(beams, i_assembly_name) + + # dump the xml + xml: str = assembly1.to_xml() + if i_dump: + assembly1.dump_xml(xml, i_export_dir) + o_xml = xml + + # show the joint/side faces + o_joints = [jf.to_brep() for jf in assembly1.all_joint_faces] + o_sides = [sf.to_brep() for sf in assembly1.all_side_faces] ########################### - faces, o_debug = diffCheck.df_joint_detector.JointDetector(i_breps[0]).run() + # faces, o_debug = diffCheck.df_joint_detector.JointDetector(i_breps[0]).run() - # o_joints = [f.to_brep() for f in faces] - # o_sides = [f.to_brep() for f in faces] + # # o_joints = [f.to_brep() for f in faces] + # # o_sides = [f.to_brep() for f in faces] - o_xml = "" - o_joints = [] - o_sides = [] + # o_xml = "" + # o_joints = [] + # o_sides = [] - for f in faces: - if f[1] != None: - o_joints.append(f[0]) - else: - o_sides.append(f[0]) + # for f in faces: + # if f[1] != None: + # o_joints.append(f[0]) + # else: + # o_sides.append(f[0]) diff --git a/src/gh/diffCheck/diffCheck/__pycache__/df_geometries.cpython-39.pyc b/src/gh/diffCheck/diffCheck/__pycache__/df_geometries.cpython-39.pyc index caac3f46351f563ec3f54675c6dc1db330d277a6..0d0e11d1f964e8074bbfa95aece8c96e376d3220 100644 GIT binary patch delta 1528 zcmY*ZOKcle6lMI2zj4wwwreLT)TPO^B+#Z6LP9{3ekim>2__q$Bir*5Pvn^~Z^n+3 zwn+o!BUMNhZ-K;?P09jzJ-`@H9&2wji&3isJEGZF*Hrl3zG3DTH%)MQKI6`nG0>+VU(`8 zm)gAM1)R7yTz;DpMvb%9O0~}PG#{6d`8?n#;D`hYTV|KP04j+jhOeRqbX|qbD0zo* z->Nf@!cC*YpNB)Qn*CcFIfqc^!AIt0DiUj>7w0I2w1x`c1>uJ+$B`!)#Od=bx4F@@ z97etSqY+$)%xEwLaj?-yfj2-5?|fLao<;hw==h>Dy$Hn={vepsy4w4wm{lx zO7#O*IAav|T~8)Xe4Z`g7@0*e|fGKzn=RQy#b3zjqYh&j}(tGp9{_Fxz6Ge&_#V^`YAd$H@6%JWm^wYjzk)m@fl_AGuhyGY&yyD(hFB$i z2Gp{6N0y$+|$Xn9_n^!BrFMy5#ol2m*WuQJ>5Nvi72T8kaFOM`6H zTkEizuQVba4_3BF%BV5gZkTndXW5u!X6FH?0jDGcQQPXWH>5<;C}MEM8p?IhlAN;d zQpW8%^+~j4?6TL9&@=OYX+sO3S_D;WL6#z7XLxm%WKh;n1b#?AXuGaF$pKGaZ+or1 zmhDo~domo;iX^s5{U#Y)WYpwzg?SE0*;+4g_^wtUNoXtbG;A4V*8o>~Umy8iD{esE zlt8k^j%T~vz^Q%G`=G$Jx5%*7=$kFdX`OqFoav?3CvSG7$UGb%PpUsbNdXdJ|- z=rB;)9>IP?(fbT7_*Kfy-tWi$jASSb>PoBP>G9DN zNvt>3D2SoT*lm&yHN1Kf**znlv+|jh&m0-(xOUyMsICP`>PpFWxAjsGS+0_SwHf7nuj{n*L+Ubv81p>NaFHZcqo!j}*)zio zkrYN)>YLOddC08k$n^*#E+ZnR^naI%ElFFroP}q?;ig@cMbat(PM?TRPL$;*M)qQa zO%n0Vi7&Kn@63zy+8T+v-mM@hJq>OCY95Nn&f8N{$(>NbOz*QRa|zr}1$^+Y%w zT{N+;`bVPAO-FtfemwbQQ4P|z^aKgo<jn80mh(g@>%ie5GcT`k#`2sQ$98S`AHHyLUmqWN7eR4= Q+FaE5aIg=_&4}e{LWrOn~+`RJM;a__xF5fo-O>? 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Sort faces from joints and faces from sides ############################################################################ # retransform back everything - # for b in self._holes: - # b.Transform(x_form_back) - # for b in self._cuts: - # b.Transform(x_form_back) - # for b in self._mix: - # b.Transform(x_form_back) - # self.brep.Transform(x_form_back) - - # TODO: get rid debugging - # bbox_b.Transform(x_form_back) - self._debug.append(bbox_b) + for b in self._holes: + b.Transform(x_form_back) + for b in self._cuts: + b.Transform(x_form_back) + for b in self._mix: + b.Transform(x_form_back) + self.brep.Transform(x_form_back) # get all the medians of the faces of cuts only cuts_faces_centroids : typing.Dict[int, typing.List[rg.Point3d]] = {} @@ -204,7 +182,6 @@ def run(self) : for f in b.Faces: centroid = self._compute_mass_center(f) temp_face_centroids.append(centroid) - self._debug.append(centroid) cuts_faces_centroids[idx] = temp_face_centroids # compare with the brep medians faces to get the joint/sides's faces @@ -225,4 +202,4 @@ def run(self) : if self._faces is None or len(self._faces) == 0: ghenv.Component.AddRuntimeMessage(RML.Error, "No faces found after joint detection.") - return self._faces, self._debug \ No newline at end of file + return self._faces \ No newline at end of file From 6b67948bc4f4cbb585bb0e230e82fd48a358a142 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sun, 2 Jun 2024 22:29:59 +0200 Subject: [PATCH 02/35] FIX: cleaning needless prints --- src/gh/components/DF_xml_exporter/code.py | 22 ------------------ .../__pycache__/df_geometries.cpython-39.pyc | Bin 10763 -> 10763 bytes 2 files changed, 22 deletions(-) diff --git a/src/gh/components/DF_xml_exporter/code.py b/src/gh/components/DF_xml_exporter/code.py index 8ae7c5c9..886461ef 100644 --- a/src/gh/components/DF_xml_exporter/code.py +++ b/src/gh/components/DF_xml_exporter/code.py @@ -33,8 +33,6 @@ def RunScript(self, # beams beams: typing.List[DFBeam] = [] for brep in i_breps: - print(f"Processing brep {brep}") - print(f"Type: {type(brep)}") beam = DFBeam.from_brep(brep) beams.append(beam) @@ -51,26 +49,6 @@ def RunScript(self, o_joints = [jf.to_brep() for jf in assembly1.all_joint_faces] o_sides = [sf.to_brep() for sf in assembly1.all_side_faces] - ########################### - - # faces, o_debug = diffCheck.df_joint_detector.JointDetector(i_breps[0]).run() - - # # o_joints = [f.to_brep() for f in faces] - # # o_sides = [f.to_brep() for f in faces] - - # o_xml = "" - # o_joints = [] - # o_sides = [] - - # for f in faces: - # if f[1] != None: - # o_joints.append(f[0]) - # else: - # o_sides.append(f[0]) - - - - return o_xml, o_joints, o_sides, o_debug diff --git a/src/gh/diffCheck/diffCheck/__pycache__/df_geometries.cpython-39.pyc b/src/gh/diffCheck/diffCheck/__pycache__/df_geometries.cpython-39.pyc index 0d0e11d1f964e8074bbfa95aece8c96e376d3220..33d850f73770f3278a93c85c59fb154a6c427c83 100644 GIT binary patch delta 18 XcmeAU=?>vcvc Date: Sun, 2 Jun 2024 23:04:59 +0200 Subject: [PATCH 03/35] FIX: for load mesh from file back to good version --- .../components/DF_load_mesh_from_file/code.py | 45 +++++++------------ 1 file changed, 16 insertions(+), 29 deletions(-) diff --git a/src/gh/components/DF_load_mesh_from_file/code.py b/src/gh/components/DF_load_mesh_from_file/code.py index 39b5ac8d..0eba78f6 100644 --- a/src/gh/components/DF_load_mesh_from_file/code.py +++ b/src/gh/components/DF_load_mesh_from_file/code.py @@ -9,46 +9,33 @@ import Grasshopper as gh from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML -import diffCheck from diffCheck import diffcheck_bindings -import diffCheck.df_geometries -import diffCheck.df_cvt_bindings - +from diffCheck import df_cvt_bindings class DFLoadMeshFromFile(component): def RunScript(self, - i_path : str, - i_scalef : float - ) -> rg.PointCloud: + i_path: str, + i_scalef: float) -> rg.Mesh: """ - This compoonent load a mesh rhino from a ply file. + This compoonent loads a Rhino mesh from a .ply file. - :param i_path: path to the ply file + :param i_path: path to the .ply file :param i_scalef: scale factor - :return o_mesh: rhino mesh + :return o_mesh: Rhino Mesh """ - print(f"diffCheck version: {diffCheck.__version__}") - - df_cloud = diffcheck_bindings.dfb_geometry.DFPointCloud() - df_cloud.load_from_PLY(i_path) - rgpoints = [rg.Point3d(pt[0], pt[1], pt[2]) for pt in df_cloud.points] - rh_cloud = rg.PointCloud(rgpoints) + # import and convert to Rhino Mesh + df_mesh = diffcheck_bindings.dfb_geometry.DFMesh() + df_mesh.load_from_PLY(i_path) + rh_mesh = df_cvt_bindings.cvt_dfmesh_2_rhmesh(df_mesh) # scale if needed - centroid = rh_cloud.GetBoundingBox(True).Center + centroid = rh_mesh.GetBoundingBox(True).Center x_form_scale = rg.Transform.Scale(centroid, i_scalef) - rh_cloud.Transform(x_form_scale) - - - rh_mesh = rh_cloud - - return rh_mesh + rh_mesh.Transform(x_form_scale) + return [rh_mesh] -if __name__ == "__main__": - com = DFLoadMeshFromFile() - o_rh_mesh = com.RunScript( - i_path, - i_scalef - ) \ No newline at end of file +# if __name__ == "__main__": +# com = DFLoadMeshFromFile() +# o_rh_mesh = com.RunScript(i_path, i_scalef) \ No newline at end of file From ad3a8cbf6325d0e9c797032ae882564fd83eea7a Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sun, 2 Jun 2024 23:10:03 +0200 Subject: [PATCH 04/35] WIP-FIX. got rid of pycache in gitignore --- .gitignore | 2 +- .../__pycache__/__init__.cpython-39.pyc | Bin 324 -> 0 bytes .../__pycache__/df_geometries.cpython-39.pyc | Bin 10763 -> 0 bytes .../df_joint_detector.cpython-39.pyc | Bin 4134 -> 0 bytes .../df_transformations.cpython-39.pyc | Bin 3255 -> 0 bytes .../__pycache__/df_util.cpython-39.pyc | Bin 3239 -> 0 bytes src/gh/diffCheck/diffCheck/df_joint_detector.py | 15 ++++++++++++++- .../diffCheck/diffCheck/df_transformations.py | 4 ++-- 8 files changed, 17 insertions(+), 4 deletions(-) delete mode 100644 src/gh/diffCheck/diffCheck/__pycache__/__init__.cpython-39.pyc delete mode 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a/src/gh/diffCheck/diffCheck/df_joint_detector.py +++ b/src/gh/diffCheck/diffCheck/df_joint_detector.py @@ -43,14 +43,27 @@ def _compute_mass_center(self, b_face: rg.BrepFace) -> rg.Point3d: def run(self) : """ - Run the joint detector + Run the joint detector. We use a dictionary to store the faces of the cuts based wethear they are cuts or holes. + - for cuts: If it is a cut we return the face, and the id of the joint the faces belongs to. + - for sides: If it is a face from the sides, we return the face and None. + :return: a list of faces from joins and faces """ + ############################################################################ + # [*] If the timber has 6 faces, it is a box, return the faces + ############################################################################ + if len(self.brep.Faces) == 6: + pass + # get the two smallest faces as the cuts + + ############################################################################ # 1. Bring to XY, mamke AABB and get negative boolean difference ############################################################################ # bring to plane xy x_form = diffCheck.df_transformations.pln_2_pln_world_transform(self.brep) + if x_form is None: + return None # reverse the transformation x_form_back = diffCheck.df_transformations.get_inverse_transformation(x_form) diff --git a/src/gh/diffCheck/diffCheck/df_transformations.py b/src/gh/diffCheck/diffCheck/df_transformations.py index 20d529b8..e7bca57f 100644 --- a/src/gh/diffCheck/diffCheck/df_transformations.py +++ b/src/gh/diffCheck/diffCheck/df_transformations.py @@ -82,8 +82,8 @@ def _get_lowest_brep_vertex(brep) -> Rhino.Geometry.Point3d: # get the plane of the biggest face if biggest_face.TryGetPlane()[0] is False: - log.error("Could not find plane for longest edge. Exiting...") - return + raise ValueError("The face is not planar") + return None plane_src = biggest_face.TryGetPlane()[1] plane_tgt = Rhino.Geometry.Plane.WorldXY From 41da968a52027ea818339a7314b7805c9a7e9a80 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sun, 2 Jun 2024 23:10:57 +0200 Subject: [PATCH 05/35] FIX: cleaning pycache directory --- .../__pycache__/__init__.cpython-39.pyc | Bin 324 -> 0 bytes .../__pycache__/df_geometries.cpython-39.pyc | Bin 10763 -> 0 bytes .../df_joint_detector.cpython-39.pyc | Bin 4094 -> 0 bytes .../df_transformations.cpython-39.pyc | Bin 3255 -> 0 bytes .../__pycache__/df_util.cpython-39.pyc | Bin 3966 -> 0 bytes 5 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 src/gh/diffCheck/diffCheck/__pycache__/__init__.cpython-39.pyc delete mode 100644 src/gh/diffCheck/diffCheck/__pycache__/df_geometries.cpython-39.pyc delete mode 100644 src/gh/diffCheck/diffCheck/__pycache__/df_joint_detector.cpython-39.pyc delete mode 100644 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16 +++++++++++++--- 3 files changed, 15 insertions(+), 5 deletions(-) diff --git a/deps/eigen b/deps/eigen index de8013fa..f78dfe36 160000 --- a/deps/eigen +++ b/deps/eigen @@ -1 +1 @@ -Subproject commit de8013fa677551be2d8099a1bff76a1916c088d8 +Subproject commit f78dfe36b0a995f51fd4287bb3ba92dc6d486e15 diff --git a/deps/pybind11 b/deps/pybind11 index 19a6b9f4..aa98d957 160000 --- a/deps/pybind11 +++ b/deps/pybind11 @@ -1 +1 @@ -Subproject commit 19a6b9f4efb569129c878b7f8db09132248fbaa1 +Subproject commit aa98d95717d1365b5c32d3942abd0292fbd19021 diff --git a/src/gh/diffCheck/diffCheck/df_joint_detector.py b/src/gh/diffCheck/diffCheck/df_joint_detector.py index c53ff4fb..06803072 100644 --- a/src/gh/diffCheck/diffCheck/df_joint_detector.py +++ b/src/gh/diffCheck/diffCheck/df_joint_detector.py @@ -52,10 +52,20 @@ def run(self) : ############################################################################ # [*] If the timber has 6 faces, it is a box, return the faces ############################################################################ - if len(self.brep.Faces) == 6: - pass - # get the two smallest faces as the cuts + if self.brep.Faces.Count == 6: + # order the faces by surface area + faces = sorted( + self.brep.Faces, + key=lambda x: rg.AreaMassProperties.Compute(x).Area, reverse=False) + # the the smallest faces are the sides + self._faces = [[faces[0], 0], [faces[1], 1]] + + # add the rest of the faces as sides + for f in faces[2:]: + self._faces.append([f, None]) + + return self._faces ############################################################################ # 1. Bring to XY, mamke AABB and get negative boolean difference From 8331e3505709d4ce550807cdde00496c6b1e7a57 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Thu, 6 Jun 2024 23:02:44 +0200 Subject: [PATCH 07/35] ADD: OBB added for both dfmesh and dfcloud + bindings --- src/diffCheck/geometry/DFMesh.cc | 8 ++++++++ src/diffCheck/geometry/DFMesh.hh | 9 +++++++++ src/diffCheck/geometry/DFPointCloud.cc | 10 +++++++++- src/diffCheck/geometry/DFPointCloud.hh | 8 ++++++++ src/diffCheckBindings.cc | 4 ++++ 5 files changed, 38 insertions(+), 1 deletion(-) diff --git a/src/diffCheck/geometry/DFMesh.cc b/src/diffCheck/geometry/DFMesh.cc index 8e66159b..61a64ae3 100644 --- a/src/diffCheck/geometry/DFMesh.cc +++ b/src/diffCheck/geometry/DFMesh.cc @@ -71,6 +71,14 @@ namespace diffCheck::geometry this->Cvt2DFMesh(O3DTriangleMesh); } + std::vector DFMesh::GetTightBoundingBox() + { + auto O3DTriangleMesh = this->Cvt2O3DTriangleMesh(); + open3d::geometry::OrientedBoundingBox tightOOBB = O3DTriangleMesh->GetMinimalOrientedBoundingBox(); + std::vector bboxPts = tightOOBB.GetBoxPoints(); + return bboxPts; + } + void DFMesh::LoadFromPLY(const std::string &path) { std::shared_ptr tempMesh_ptr = diffCheck::io::ReadPLYMeshFromFile(path); diff --git a/src/diffCheck/geometry/DFMesh.hh b/src/diffCheck/geometry/DFMesh.hh index 139276b1..f00549b0 100644 --- a/src/diffCheck/geometry/DFMesh.hh +++ b/src/diffCheck/geometry/DFMesh.hh @@ -62,6 +62,15 @@ namespace diffCheck::geometry */ void ApplyTransformation(const diffCheck::transformation::DFTransformation &transformation); + public: ///< Utils + /** + * @brief Get the mesh tight bounding box + * + * @return std::vector A vector of two Eigen::Vector3d, with the first one being the minimum + * point and the second one the maximum point of the bounding box. + */ + std::vector GetTightBoundingBox(); + public: ///< I/O loader /** * @brief Read a mesh from a file diff --git a/src/diffCheck/geometry/DFPointCloud.cc b/src/diffCheck/geometry/DFPointCloud.cc index 5b929010..447cd1f0 100644 --- a/src/diffCheck/geometry/DFPointCloud.cc +++ b/src/diffCheck/geometry/DFPointCloud.cc @@ -53,7 +53,15 @@ namespace diffCheck::geometry extremePoints.push_back(boundingBox.GetMinBound()); extremePoints.push_back(boundingBox.GetMaxBound()); return extremePoints; - } + } + + std::vector DFPointCloud::GetTightBoundingBox() + { + open3d::geometry::OrientedBoundingBox tightOOBB = this->Cvt2O3DPointCloud()->GetMinimalOrientedBoundingBox(); + std::vector bboxPts = tightOOBB.GetBoxPoints(); + return bboxPts; + } + void DFPointCloud::ApplyTransformation(const diffCheck::transformation::DFTransformation &transformation) { auto O3DPointCloud = this->Cvt2O3DPointCloud(); diff --git a/src/diffCheck/geometry/DFPointCloud.hh b/src/diffCheck/geometry/DFPointCloud.hh index aab500cd..f21ba977 100644 --- a/src/diffCheck/geometry/DFPointCloud.hh +++ b/src/diffCheck/geometry/DFPointCloud.hh @@ -58,6 +58,14 @@ namespace diffCheck::geometry */ std::vector ComputeBoundingBox(); + /** + * @brief Get the tight bounding box of the point cloud + * + * @return std::vector A vector of two Eigen::Vector3d, with the first one being the minimum + * point and the second one the maximum point of the bounding box. + */ + std::vector GetTightBoundingBox(); + public: ///< Transformers /** * @brief Apply a transformation to the point cloud diff --git a/src/diffCheckBindings.cc b/src/diffCheckBindings.cc index 31aee8db..e887f95e 100644 --- a/src/diffCheckBindings.cc +++ b/src/diffCheckBindings.cc @@ -34,6 +34,8 @@ PYBIND11_MODULE(diffcheck_bindings, m) { .def("load_from_PLY", &diffCheck::geometry::DFPointCloud::LoadFromPLY) + .def("get_tight_bounding_box", &diffCheck::geometry::DFPointCloud::GetTightBoundingBox) + .def("get_num_points", &diffCheck::geometry::DFPointCloud::GetNumPoints) .def("get_num_colors", &diffCheck::geometry::DFPointCloud::GetNumColors) .def("get_num_normals", &diffCheck::geometry::DFPointCloud::GetNumNormals) @@ -60,6 +62,8 @@ PYBIND11_MODULE(diffcheck_bindings, m) { .def("sample_points_uniformly", &diffCheck::geometry::DFMesh::SampleCloudUniform) + .def("get_tight_bounding_box", &diffCheck::geometry::DFMesh::GetTightBoundingBox) + .def("get_num_vertices", &diffCheck::geometry::DFMesh::GetNumVertices) .def("get_num_faces", &diffCheck::geometry::DFMesh::GetNumFaces) From d7349fb3bc464b131858994c350bc1804e8b59d1 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sat, 8 Jun 2024 23:52:59 +0200 Subject: [PATCH 08/35] WIP-CAP: working version for new joint detector --- deps/eigen | 2 +- deps/pybind11 | 2 +- src/diffCheck/geometry/DFPointCloud.hh | 18 +++ src/diffCheckApp.cc | 79 +++++------ src/gh/components/DF_xml_exporter/code.py | 132 ++++++++++++++++-- src/gh/diffCheck/diffCheck.egg-info/PKG-INFO | 5 +- src/gh/diffCheck/diffCheck/df_cvt_bindings.py | 33 ++++- .../diffCheck/diffCheck/df_joint_detector.py | 11 +- src/gh/diffCheck/diffCheck_app.py | 109 ++++++++------- 9 files changed, 265 insertions(+), 126 deletions(-) diff --git a/deps/eigen b/deps/eigen index f78dfe36..27f81762 160000 --- a/deps/eigen +++ b/deps/eigen @@ -1 +1 @@ -Subproject commit f78dfe36b0a995f51fd4287bb3ba92dc6d486e15 +Subproject commit 27f8176254a6e84400db662a62f1825cc5c65bc0 diff --git a/deps/pybind11 b/deps/pybind11 index aa98d957..1a0ff405 160000 --- a/deps/pybind11 +++ b/deps/pybind11 @@ -1 +1 @@ -Subproject commit aa98d95717d1365b5c32d3942abd0292fbd19021 +Subproject commit 1a0ff405498b6aac4b57cf0d95670010e5e37973 diff --git a/src/diffCheck/geometry/DFPointCloud.hh b/src/diffCheck/geometry/DFPointCloud.hh index f21ba977..3bf612f5 100644 --- a/src/diffCheck/geometry/DFPointCloud.hh +++ b/src/diffCheck/geometry/DFPointCloud.hh @@ -63,6 +63,24 @@ namespace diffCheck::geometry * * @return std::vector A vector of two Eigen::Vector3d, with the first one being the minimum * point and the second one the maximum point of the bounding box. + * /// ------- x + * /// /| + * /// / | + * /// / | z + * /// y + * /// 0 ------------------- 1 + * /// /| /| + * /// / | / | + * /// / | / | + * /// / | / | + * /// 2 ------------------- 7 | + * /// | |____________|____| 6 + * /// | /3 | / + * /// | / | / + * /// | / | / + * /// |/ |/ + * /// 5 ------------------- 4 + * /// */ std::vector GetTightBoundingBox(); diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 0fa14ff8..2cdd1e64 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -7,60 +7,45 @@ int main() { // import clouds - std::shared_ptr dfPointCloudPtr = std::make_shared(); - std::shared_ptr dfMeshPtr = std::make_shared(); - std::shared_ptr dfGroundTruth = std::make_shared(); - - // std::string pathCloud = R"(C:\Users\andre\Downloads\scan_data_normals.ply\scan_data_normals.ply)"; - // std::string pathMesh = R"(F:\diffCheck\assets\dataset\mesh_fromRh_unfixedLength.ply)"; - // std::string pathMesh = R"(F:\diffCheck\temp\03_mesh.ply)"; + std::shared_ptr dfPointCloudPtr + = std::make_shared(); + std::shared_ptr dfMeshPtr + = std::make_shared(); // create a sphere from o3d + std::string pathCloud = R"(C:\andre\Downloads\moved_04.ply)"; + std::string pathMesh = R"(C:\Users\andre\Downloads\meshtest.ply)"; - std::string pathCloud = R"(C:\Users\localuser\Downloads\04_pt.ply)"; - std::string pathMesh = R"(C:\Users\localuser\Downloads\04_mesh.ply)"; - // std::string pathMesh = R"(F:\diffCheck\temp\03_mesh.ply)"; - + // dfPointCloudPtr->LoadFromPLY(pathCloud); dfMeshPtr->LoadFromPLY(pathMesh); - dfPointCloudPtr->LoadFromPLY(pathCloud); - - dfGroundTruth->Cvt2DFPointCloud(dfMeshPtr->Cvt2O3DTriangleMesh()->SamplePointsUniformly(10000)); - Eigen::Matrix4d transformation = Eigen::Matrix4d::Identity(); - transformation(0, 3) = 0.0; - transformation(1, 3) = -0.02; - transformation(2, 3) = 0.02; - Eigen::Matrix3d rotation; - rotation = Eigen::AngleAxisd(0.3, Eigen::Vector3d::UnitY()); - transformation.block<3, 3>(0, 0) = rotation * transformation.block<3, 3>(0, 0); - - dfPointCloudPtr->ApplyTransformation(transformation); - - diffCheck::transformation::DFTransformation simpleICPTransformation - = diffCheck::registrations::RefinedRegistration::O3DICP( - dfPointCloudPtr, - dfGroundTruth, - 0.05); - - diffCheck::transformation::DFTransformation generalizedICPTransformation - = diffCheck::registrations::RefinedRegistration::O3DGeneralizedICP( - dfPointCloudPtr, - dfGroundTruth, - 0.05); - dfPointCloudPtr->ApplyTransformation(simpleICPTransformation); - - std::stringstream ss; - ss << "Simple ICP Transformation:\n"; - ss << simpleICPTransformation.TransformationMatrix<<"\n"; - ss << "Generalized ICP Transformation:\n"; - ss << generalizedICPTransformation.TransformationMatrix; - std::string matrixAsString = ss.str(); - DIFFCHECK_INFO(matrixAsString.c_str()); + + open3d::geometry::TriangleMesh meshO3d = *dfMeshPtr->Cvt2O3DTriangleMesh(); + + + // convert the sphere to a diffCheck point cloud + // auto o3dPointCloud = meshO3d.SamplePointsUniformly(1000); + + std::shared_ptr tightBBOX = std::make_shared(); + + // compute the bounding box + open3d::geometry::OrientedBoundingBox bbox = meshO3d.GetMinimalOrientedBoundingBox(); + std::vector bboxPts = bbox.GetBoxPoints(); + for (auto &pt : bboxPts) + { + tightBBOX->points_.push_back(pt); + } + + + dfPointCloudPtr->Cvt2DFPointCloud(tightBBOX); + + + std::shared_ptr vis = std::make_shared(); - // vis->AddPointCloud(dfPointCloudPtr); - vis->AddMesh(dfMeshPtr); - vis->AddPointCloud(dfGroundTruth); vis->AddPointCloud(dfPointCloudPtr); + // vis->AddMesh(dfMeshPtr); vis->Run(); + + return 0; } \ No newline at end of file diff --git a/src/gh/components/DF_xml_exporter/code.py b/src/gh/components/DF_xml_exporter/code.py index 886461ef..80c3bc2f 100644 --- a/src/gh/components/DF_xml_exporter/code.py +++ b/src/gh/components/DF_xml_exporter/code.py @@ -5,11 +5,16 @@ import Rhino import Rhino.Geometry as rg +import scriptcontext as sc from ghpythonlib.componentbase import executingcomponent as component import diffCheck from diffCheck.df_geometries import DFBeam, DFAssembly +import diffCheck.df_transformations + +import diffCheck.diffcheck_bindings +import diffCheck.df_cvt_bindings class DFXMLExporter(component): @@ -25,29 +30,128 @@ def RunScript(self, :param i_export_dir: directory to export the xml :param i_breps: list of breps """ + ################ o_xml = None o_joints = None o_sides = None o_debug = None + ################ + ######################################## + + # TODO: test + o_debug = [] - # beams - beams: typing.List[DFBeam] = [] + # mass_ctrs = [] + # crt_brep = i_breps[5] + breps_repaired = [] for brep in i_breps: - beam = DFBeam.from_brep(brep) - beams.append(beam) - # assembly - assembly1 = DFAssembly(beams, i_assembly_name) + # convert mesh to brep object + mesh=Rhino.Geometry.Mesh() + mesh_parts=Rhino.Geometry.Mesh.CreateFromBrep( + brep, + Rhino.Geometry.MeshingParameters.Coarse) + for mesh_part in mesh_parts: mesh.Append(mesh_part) + mesh.Compact() + mesh.MergeAllCoplanarFaces(Rhino.RhinoDoc.ActiveDoc.ModelAbsoluteTolerance, True) + # o_debug.append(mesh) + + # get the obb + df_mesh = diffCheck.df_cvt_bindings.cvt_rhmesh_2_dfmesh(mesh) + df_cloud = df_mesh.sample_points_uniformly(200) + df_OBB = df_cloud.get_tight_bounding_box() + rh_OBB = diffCheck.df_cvt_bindings.cvt_dfOBB_2_rhbrep(df_OBB) + + # check if the OBB is closed + # print(f"OBB is closed: {rh_OBB.IsSolid}") # FIXME: brep is not closed + # o_debug.append(rh_OBB) + + # get OBB_center + rh_OBB_center = rh_OBB.GetBoundingBox(True).Center + # o_debug.append(rh_OBB_center) + + # local axis system get the longest/shortes edge of the rh_OBB with a lambda function + edges = rh_OBB.Edges + edge_lengths = [edge.GetLength() for edge in edges] + longest_edge = edges[edge_lengths.index(max(edge_lengths))] + shortest_edge = edges[edge_lengths.index(min(edge_lengths))] + + # scale the box in the longest edge direction by 1.5 from center on both directions + rh_OBB_zaxis = rg.Vector3d(longest_edge.PointAt(1) - longest_edge.PointAt(0)) + rh_OBB_plane = rg.Plane(rh_OBB_center, rh_OBB_zaxis) + scale_factor = 0.09 + xform = rg.Transform.Scale( + rh_OBB_plane, + 1-scale_factor, + 1-scale_factor, + 1+scale_factor + ) + rh_OBB.Transform(xform) + + # get all the centers of the faces + # face_centers = [] + faces = {} + for idx, face in enumerate(brep.Faces): + face_center = rg.AreaMassProperties.Compute(face).Centroid + if rh_OBB.IsPointInside(face_center, sc.doc.ModelAbsoluteTolerance, True): + # face_centers.append(face_center) + faces[idx] = (face, True) + # o_debug.append(brep.Faces[idx]) + else: + faces[idx] = (face, False) + # o_debug.append(brep.Faces[idx]) + + face_jointid = {} # face : joint id (int) + joint_counter = 0 + for key, value in faces.items(): + # print(f"Face {key} is inside: {value[1]}") + if value[1]: + face_jointid[key] = joint_counter + adjacent_faces = value[0].AdjacentFaces() + for adj_face in adjacent_faces: + if faces[adj_face][1]: + face_jointid[value] = joint_counter + joint_counter += 1 + else: + face_jointid[value] = None + + o_sides = [faces[key][0] for key, value in faces.items() if not value[1]] + o_joints = [faces[key][0] for key, value in faces.items() if value[1]] + + + + + # get the faces that are t + + + ######################################## + + # for f in crt_brep.Faces: + # mass_ctr = rg.AreaMassProperties.Compute(f).Centroid + # is_inside : bool = aabb.Contains(mass_ctr, strict=True) + # print(f"Face {f} is inside: {is_inside}") + # if is_inside: + # mass_ctrs.append(mass_ctr) + # o_debug = mass_ctrs + + # # beams + # beams: typing.List[DFBeam] = [] + # for brep in i_breps: + # beam = DFBeam.from_brep(brep) + # beams.append(beam) + + # # assembly + # assembly1 = DFAssembly(beams, i_assembly_name) - # dump the xml - xml: str = assembly1.to_xml() - if i_dump: - assembly1.dump_xml(xml, i_export_dir) - o_xml = xml + # # dump the xml + # xml: str = assembly1.to_xml() + # if i_dump: + # assembly1.dump_xml(xml, i_export_dir) + # o_xml = xml - # show the joint/side faces - o_joints = [jf.to_brep() for jf in assembly1.all_joint_faces] - o_sides = [sf.to_brep() for sf in assembly1.all_side_faces] + # # show the joint/side faces + # o_joints = [jf.to_brep() for jf in assembly1.all_joint_faces] + # o_sides = [sf.to_brep() for sf in assembly1.all_side_faces] return o_xml, o_joints, o_sides, o_debug diff --git a/src/gh/diffCheck/diffCheck.egg-info/PKG-INFO b/src/gh/diffCheck/diffCheck.egg-info/PKG-INFO index 0e75ec4d..da8c1896 100644 --- a/src/gh/diffCheck/diffCheck.egg-info/PKG-INFO +++ b/src/gh/diffCheck/diffCheck.egg-info/PKG-INFO @@ -5,16 +5,15 @@ Summary: DiffCheck is a package to check the differences between two timber stru Home-page: https://github.com/diffCheckOrg/diffCheck Author: Andrea Settimi, Damien Gilliard, Eleni Skevaki, Marirena Kladeftira, Julien Gamerro, Stefana Parascho, and Yves Weinand Author-email: andrea.settimi@epfl.ch -License: UNKNOWN -Platform: UNKNOWN Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.9 Description-Content-Type: text/markdown +Requires-Dist: numpy +Requires-Dist: pybind11>=2.5.0 # DiffCheck Grasshopper Plugin DiffCheck is a plugin for Rhino/Grasshopper that allows the user to compare a 3D model with its scan. More information to come - diff --git a/src/gh/diffCheck/diffCheck/df_cvt_bindings.py b/src/gh/diffCheck/diffCheck/df_cvt_bindings.py index 114ddd83..a6e80206 100644 --- a/src/gh/diffCheck/diffCheck/df_cvt_bindings.py +++ b/src/gh/diffCheck/diffCheck/df_cvt_bindings.py @@ -6,6 +6,7 @@ import Rhino import Rhino.Geometry as rg +import scriptcontext as sc from diffCheck import diffcheck_bindings @@ -164,4 +165,34 @@ def cvt_rhmesh_2_dfmesh(rh_mesh: rg.Mesh) -> diffcheck_bindings.dfb_geometry.DFM colors_vertex.append([color.R, color.G, color.B]) df_mesh.colors_vertex = colors_vertex - return df_mesh \ No newline at end of file + return df_mesh + +def cvt_dfOBB_2_rhbrep(df_OBB) -> rg.Box: + """ Convert a diffCheck OBB to a Rhino Brep. + + :param df_OBB: diffCheck OBB + + :return rh_obb_brep: the brep box object + """ + rh_pts = [] + for pt in df_OBB: + rh_pts.append(rg.Point3d(pt[0], pt[1], pt[2])) + + surfaces = [] + surfaces.append(rg.NurbsSurface.CreateFromCorners(rh_pts[0], rh_pts[1], rh_pts[7], rh_pts[2])) + surfaces.append(rg.NurbsSurface.CreateFromCorners(rh_pts[0], rh_pts[1], rh_pts[6], rh_pts[3])) + surfaces.append(rg.NurbsSurface.CreateFromCorners(rh_pts[3], rh_pts[6], rh_pts[4], rh_pts[5])) + surfaces.append(rg.NurbsSurface.CreateFromCorners(rh_pts[2], rh_pts[7], rh_pts[4], rh_pts[5])) + surfaces.append(rg.NurbsSurface.CreateFromCorners(rh_pts[1], rh_pts[6], rh_pts[4], rh_pts[7])) + surfaces.append(rg.NurbsSurface.CreateFromCorners(rh_pts[0], rh_pts[3], rh_pts[5], rh_pts[2])) + + rh_obb_brep = rg.Brep.JoinBreps([rg.Brep.CreateFromSurface(srf) for srf in surfaces], sc.doc.ModelAbsoluteTolerance)[0] + + if rh_obb_brep is None: + raise ValueError("The OBB could not be converted to a Rhino Brep") + if not rh_obb_brep.IsValid: + raise ValueError("The OBB Rhino Brep is not valid") + if not rh_obb_brep.IsSolid: + raise ValueError("The OBB Rhino Brep is not solid") + + return rh_obb_brep \ No newline at end of file diff --git a/src/gh/diffCheck/diffCheck/df_joint_detector.py b/src/gh/diffCheck/diffCheck/df_joint_detector.py index 06803072..0e21c210 100644 --- a/src/gh/diffCheck/diffCheck/df_joint_detector.py +++ b/src/gh/diffCheck/diffCheck/df_joint_detector.py @@ -73,21 +73,22 @@ def run(self) : # bring to plane xy x_form = diffCheck.df_transformations.pln_2_pln_world_transform(self.brep) if x_form is None: + raise ValueError("The brep is not planar, cannot bring to XY plane.") return None # reverse the transformation x_form_back = diffCheck.df_transformations.get_inverse_transformation(x_form) # compute the bounding box and inflate to include butt joints typo - bbox = self.brep.GetBoundingBox(True) - diagonal = bbox.Diagonal + aabb = self.brep.GetBoundingBox(True) + diagonal = aabb.Diagonal scaling_factor = diagonal.Length / 10 - bbox.Inflate(scaling_factor, 0, 0) - bbox_b = bbox.ToBrep() + aabb.Inflate(scaling_factor, -0.01, -0.01) + aabb_b = aabb.ToBrep() # boolean difference between the bounding box and the brep transformed breps_from_booldiff = Rhino.Geometry.Brep.CreateBooleanDifference( - bbox_b, self.brep, sc.doc.ModelAbsoluteTolerance) + aabb_b, self.brep, sc.doc.ModelAbsoluteTolerance) if breps_from_booldiff is None or len(breps_from_booldiff) == 0: ghenv.Component.AddRuntimeMessage(RML.Error, "No breps found after boolean difference.") diff --git a/src/gh/diffCheck/diffCheck_app.py b/src/gh/diffCheck/diffCheck_app.py index e5bfb887..f740b356 100644 --- a/src/gh/diffCheck/diffCheck_app.py +++ b/src/gh/diffCheck/diffCheck_app.py @@ -7,82 +7,83 @@ import sys -# Get the directory containing the script file -script_dir = os.path.dirname(os.path.realpath(__file__)) +# # Get the directory containing the script file +# script_dir = os.path.dirname(os.path.realpath(__file__)) -# Construct absolute paths -path1 = os.path.join(script_dir, "src", "gh", "diffCheck", "diffCheck") -path2 = os.path.join(script_dir, "src", "gh", "diffCheck") +# # Construct absolute paths +# path1 = os.path.join(script_dir, "src", "gh", "diffCheck", "diffCheck") +# path2 = os.path.join(script_dir, "src", "gh", "diffCheck") -# Add the paths to sys.path -sys.path.append(path1) -sys.path.append(path2) +# # Add the paths to sys.path +# sys.path.append(path1) +# sys.path.append(path2) -# for p in sys.path: -# print(p) +# # for p in sys.path: +# # print(p) -# modules = [diffCheck, diffCheck.df_cvt_bindings] -# for module in modules: -# importlib.reload(module) +# # modules = [diffCheck, diffCheck.df_cvt_bindings] +# # for module in modules: +# # importlib.reload(module) -# packages_2_reload = ["diffCheck"] +# # packages_2_reload = ["diffCheck"] -# if packages_2_reload is not None: -# if packages_2_reload.__len__() != 0: -# print("Reloading packages") -# for package in packages_2_reload: -# for key in list(sys.modules.keys()): -# if package in key: -# print(sys.modules[key]) -# #check that the package must have the attribute __path__ -# if hasattr(sys.modules[key], '__file__'): -# print(sys.modules[key]) -# importlib.reload(sys.modules[key]) +# # if packages_2_reload is not None: +# # if packages_2_reload.__len__() != 0: +# # print("Reloading packages") +# # for package in packages_2_reload: +# # for key in list(sys.modules.keys()): +# # if package in key: +# # print(sys.modules[key]) +# # #check that the package must have the attribute __path__ +# # if hasattr(sys.modules[key], '__file__'): +# # print(sys.modules[key]) +# # importlib.reload(sys.modules[key]) -import Rhino -import Rhino.Geometry as rg -from ghpythonlib.componentbase import executingcomponent as component +# import Rhino +# import Rhino.Geometry as rg +# from ghpythonlib.componentbase import executingcomponent as component -import Grasshopper as gh -from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML +# import Grasshopper as gh +# from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML -import diffCheck -from diffCheck import diffcheck_bindings -import diffCheck.df_geometries -import diffCheck.df_cvt_bindings +# import diffCheck +# from diffCheck import diffcheck_bindings +# import diffCheck.df_geometries +# import diffCheck.df_cvt_bindings -class DFMeshToCloud(component): - def RunScript(self, - i_mesh: rg.Mesh, - i_points: int) -> rg.PointCloud: - """ - Convert a Rhino mesh to a cloud. +# class DFMeshToCloud(component): +# def RunScript(self, +# i_mesh: rg.Mesh, +# i_points: int) -> rg.PointCloud: +# """ +# Convert a Rhino mesh to a cloud. - :param i_mesh: mesh to convert - :param i_points: number of points to sample +# :param i_mesh: mesh to convert +# :param i_points: number of points to sample - :return o_cloud: rhino cloud - """ +# :return o_cloud: rhino cloud +# """ - diffCheck.df_cvt_bindings.test() - # diffCheck.df_geometries.test() +# diffCheck.df_cvt_bindings.test() +# # diffCheck.df_geometries.test() - df_mesh = diffCheck.df_cvt_bindings.cvt_rhmesh_2_dfmesh(i_mesh) - df_cloud = df_mesh.sample_points_uniformly(i_points) +# df_mesh = diffCheck.df_cvt_bindings.cvt_rhmesh_2_dfmesh(i_mesh) +# df_cloud = df_mesh.sample_points_uniformly(i_points) - # convert the df_cloud to a rhino cloud - rgpoints = [rg.Point3d(pt[0], pt[1], pt[2]) for pt in df_cloud.points] - rh_cloud = rg.PointCloud(rgpoints) +# # convert the df_cloud to a rhino cloud +# rgpoints = [rg.Point3d(pt[0], pt[1], pt[2]) for pt in df_cloud.points] +# rh_cloud = rg.PointCloud(rgpoints) - return [rh_cloud] +# return [rh_cloud] if __name__ == "__main__": - com = DFMeshToCloud() - com.RunScript(i_mesh, i_points) \ No newline at end of file + # com = DFMeshToCloud() + # com.RunScript(i_mesh, i_points) + print("test") \ No newline at end of file From 41bea3f5e55bc5d5858fa847ef8ea4b7d1cd0e98 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sun, 9 Jun 2024 00:26:21 +0200 Subject: [PATCH 09/35] WIP: almost there, need packaging the new algorithm in the itnernal df joint detector function --- src/gh/components/DF_xml_exporter/code.py | 182 ++++++-------- .../diffCheck/diffCheck/df_joint_detector.py | 234 +++++------------- 2 files changed, 135 insertions(+), 281 deletions(-) diff --git a/src/gh/components/DF_xml_exporter/code.py b/src/gh/components/DF_xml_exporter/code.py index 80c3bc2f..dd9355c6 100644 --- a/src/gh/components/DF_xml_exporter/code.py +++ b/src/gh/components/DF_xml_exporter/code.py @@ -38,120 +38,92 @@ def RunScript(self, ################ ######################################## - # TODO: test - o_debug = [] + # # TODO: test + # breps_repaired = [] + # for brep in i_breps: - # mass_ctrs = [] - # crt_brep = i_breps[5] - breps_repaired = [] - for brep in i_breps: - # convert mesh to brep object - mesh=Rhino.Geometry.Mesh() - mesh_parts=Rhino.Geometry.Mesh.CreateFromBrep( - brep, - Rhino.Geometry.MeshingParameters.Coarse) - for mesh_part in mesh_parts: mesh.Append(mesh_part) - mesh.Compact() - mesh.MergeAllCoplanarFaces(Rhino.RhinoDoc.ActiveDoc.ModelAbsoluteTolerance, True) - # o_debug.append(mesh) - - # get the obb - df_mesh = diffCheck.df_cvt_bindings.cvt_rhmesh_2_dfmesh(mesh) - df_cloud = df_mesh.sample_points_uniformly(200) - df_OBB = df_cloud.get_tight_bounding_box() - rh_OBB = diffCheck.df_cvt_bindings.cvt_dfOBB_2_rhbrep(df_OBB) - - # check if the OBB is closed - # print(f"OBB is closed: {rh_OBB.IsSolid}") # FIXME: brep is not closed - # o_debug.append(rh_OBB) - - # get OBB_center - rh_OBB_center = rh_OBB.GetBoundingBox(True).Center - # o_debug.append(rh_OBB_center) - - # local axis system get the longest/shortes edge of the rh_OBB with a lambda function - edges = rh_OBB.Edges - edge_lengths = [edge.GetLength() for edge in edges] - longest_edge = edges[edge_lengths.index(max(edge_lengths))] - shortest_edge = edges[edge_lengths.index(min(edge_lengths))] - - # scale the box in the longest edge direction by 1.5 from center on both directions - rh_OBB_zaxis = rg.Vector3d(longest_edge.PointAt(1) - longest_edge.PointAt(0)) - rh_OBB_plane = rg.Plane(rh_OBB_center, rh_OBB_zaxis) - scale_factor = 0.09 - xform = rg.Transform.Scale( - rh_OBB_plane, - 1-scale_factor, - 1-scale_factor, - 1+scale_factor - ) - rh_OBB.Transform(xform) - - # get all the centers of the faces - # face_centers = [] - faces = {} - for idx, face in enumerate(brep.Faces): - face_center = rg.AreaMassProperties.Compute(face).Centroid - if rh_OBB.IsPointInside(face_center, sc.doc.ModelAbsoluteTolerance, True): - # face_centers.append(face_center) - faces[idx] = (face, True) - # o_debug.append(brep.Faces[idx]) - else: - faces[idx] = (face, False) - # o_debug.append(brep.Faces[idx]) - - face_jointid = {} # face : joint id (int) - joint_counter = 0 - for key, value in faces.items(): - # print(f"Face {key} is inside: {value[1]}") - if value[1]: - face_jointid[key] = joint_counter - adjacent_faces = value[0].AdjacentFaces() - for adj_face in adjacent_faces: - if faces[adj_face][1]: - face_jointid[value] = joint_counter - joint_counter += 1 - else: - face_jointid[value] = None - - o_sides = [faces[key][0] for key, value in faces.items() if not value[1]] - o_joints = [faces[key][0] for key, value in faces.items() if value[1]] - - - - - # get the faces that are t + # # brep vertices to cloud + # df_cloud = diffCheck.diffcheck_bindings.dfb_geometry.DFPointCloud() + # brep_vertices = [] + # for vertex in brep.Vertices: + # brep_vertices.append(np.array([vertex.Location.X, vertex.Location.Y, vertex.Location.Z]).reshape(3, 1)) + # df_cloud.points = brep_vertices + + # df_OBB = df_cloud.get_tight_bounding_box() + # rh_OBB = diffCheck.df_cvt_bindings.cvt_dfOBB_2_rhbrep(df_OBB) + + # # scale the box in the longest edge direction by 1.5 from center on both directions + # rh_OBB_center = rh_OBB.GetBoundingBox(True).Center + # edges = rh_OBB.Edges + # edge_lengths = [edge.GetLength() for edge in edges] + # longest_edge = edges[edge_lengths.index(max(edge_lengths))] + # shortest_edge = edges[edge_lengths.index(min(edge_lengths))] + + # rh_OBB_zaxis = rg.Vector3d(longest_edge.PointAt(1) - longest_edge.PointAt(0)) + # rh_OBB_plane = rg.Plane(rh_OBB_center, rh_OBB_zaxis) + # scale_factor = 0.09 + # xform = rg.Transform.Scale( + # rh_OBB_plane, + # 1-scale_factor, + # 1-scale_factor, + # 1+scale_factor + # ) + # rh_OBB.Transform(xform) + + # # check if face's centers are inside the OBB + # faces = {} + # for idx, face in enumerate(brep.Faces): + # face_center = rg.AreaMassProperties.Compute(face).Centroid + # if rh_OBB.IsPointInside(face_center, sc.doc.ModelAbsoluteTolerance, True): + # faces[idx] = (face, True) + # else: + # faces[idx] = (face, False) + + # face_jointid = {} # face : joint id (int) or None + # joint_counter = 0 + # for key, value in faces.items(): + # if value[1]: + # face_jointid[key] = joint_counter + # adjacent_faces = value[0].AdjacentFaces() + # for adj_face in adjacent_faces: + # if faces[adj_face][1]: + # face_jointid[value] = joint_counter + # joint_counter += 1 + # else: + # face_jointid[value] = None + + # faces_data = [] + # for key, value in faces.items(): + # faces_data.append((value[0], value[1])) + # print(faces_data) + + # o_sides = [faces[key][0] for key, value in faces.items() if not value[1]] + # o_joints = [faces[key][0] for key, value in faces.items() if value[1]] - ######################################## - # for f in crt_brep.Faces: - # mass_ctr = rg.AreaMassProperties.Compute(f).Centroid - # is_inside : bool = aabb.Contains(mass_ctr, strict=True) - # print(f"Face {f} is inside: {is_inside}") - # if is_inside: - # mass_ctrs.append(mass_ctr) - # o_debug = mass_ctrs - # # beams - # beams: typing.List[DFBeam] = [] - # for brep in i_breps: - # beam = DFBeam.from_brep(brep) - # beams.append(beam) + ######################################## + + # beams + beams: typing.List[DFBeam] = [] + for brep in i_breps: + beam = DFBeam.from_brep(brep) + beams.append(beam) - # # assembly - # assembly1 = DFAssembly(beams, i_assembly_name) + # assembly + assembly1 = DFAssembly(beams, i_assembly_name) - # # dump the xml - # xml: str = assembly1.to_xml() - # if i_dump: - # assembly1.dump_xml(xml, i_export_dir) - # o_xml = xml + # dump the xml + xml: str = assembly1.to_xml() + if i_dump: + assembly1.dump_xml(xml, i_export_dir) + o_xml = xml - # # show the joint/side faces - # o_joints = [jf.to_brep() for jf in assembly1.all_joint_faces] - # o_sides = [sf.to_brep() for sf in assembly1.all_side_faces] + # show the joint/side faces + o_joints = [jf.to_brep() for jf in assembly1.all_joint_faces] + o_sides = [sf.to_brep() for sf in assembly1.all_side_faces] return o_xml, o_joints, o_sides, o_debug diff --git a/src/gh/diffCheck/diffCheck/df_joint_detector.py b/src/gh/diffCheck/diffCheck/df_joint_detector.py index 0e21c210..66078187 100644 --- a/src/gh/diffCheck/diffCheck/df_joint_detector.py +++ b/src/gh/diffCheck/diffCheck/df_joint_detector.py @@ -11,6 +11,8 @@ from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML +import numpy as np + @dataclass class JointDetector: @@ -49,181 +51,61 @@ def run(self) : :return: a list of faces from joins and faces """ - ############################################################################ - # [*] If the timber has 6 faces, it is a box, return the faces - ############################################################################ - if self.brep.Faces.Count == 6: - # order the faces by surface area - faces = sorted( - self.brep.Faces, - key=lambda x: rg.AreaMassProperties.Compute(x).Area, reverse=False) - - # the the smallest faces are the sides - self._faces = [[faces[0], 0], [faces[1], 1]] - - # add the rest of the faces as sides - for f in faces[2:]: - self._faces.append([f, None]) - - return self._faces - - ############################################################################ - # 1. Bring to XY, mamke AABB and get negative boolean difference - ############################################################################ - # bring to plane xy - x_form = diffCheck.df_transformations.pln_2_pln_world_transform(self.brep) - if x_form is None: - raise ValueError("The brep is not planar, cannot bring to XY plane.") - return None - - # reverse the transformation - x_form_back = diffCheck.df_transformations.get_inverse_transformation(x_form) - - # compute the bounding box and inflate to include butt joints typo - aabb = self.brep.GetBoundingBox(True) - diagonal = aabb.Diagonal - scaling_factor = diagonal.Length / 10 - aabb.Inflate(scaling_factor, -0.01, -0.01) - aabb_b = aabb.ToBrep() - - # boolean difference between the bounding box and the brep transformed - breps_from_booldiff = Rhino.Geometry.Brep.CreateBooleanDifference( - aabb_b, self.brep, sc.doc.ModelAbsoluteTolerance) - if breps_from_booldiff is None or len(breps_from_booldiff) == 0: - ghenv.Component.AddRuntimeMessage(RML.Error, "No breps found after boolean difference.") - - ############################################################################ - # 2. Distinguish holes, cuts, and mix boolean difference results - ############################################################################ - is_hole = False - is_cut = False - is_tenon_mortise = False - is_mix = False - - # parse holes, cuts and mix - for b in breps_from_booldiff: - is_cut = True - for f in b.Faces: - f_brep = f.ToBrep() - f = f_brep.Faces[0] - if not f.IsPlanar(): - is_cut = False - is_hole = True - - b_faces = diffCheck.df_util.explode_brep(b) - for b_face in b_faces: - if b_face.Faces[0].IsPlanar(): - b_face_edges = b_face.Edges - for b_face_edge in b_face_edges: - if not b_face_edge.IsClosed: - is_mix = True - is_hole = False - break - if is_mix: - break - break - - if is_hole: - # TODO: for future development get rid of error - raise NotImplementedError("Hole detected, not implemented yet.") - self._holes.append(b) - elif is_cut: - self._cuts.append(b) - elif is_mix: - self._mix.append(b) - - is_hole = False - is_cut = False - is_mix = False - - # deal with mix - candidate_cuts = [] - candidate_holes = [] - for b in self._mix: - # -- algorithm draft -- - # (1) explode - # (2) seperate in tow list flat surfaces (cuts + cylinder's bases) and non flat surfaces (cylinders) - # (3) cap each object in both lists - # (4) boolunion every object in both lists - # (5) check if closed, if it is - # ---------------------- - # (1) explode - faces_b = diffCheck.df_util.explode_brep(b) - - # (2) seperate in tow list flat surfaces (cuts + cylinder's bases) and non flat surfaces (cylinders) - flat_faces_b = [] - non_flat_faces_b = [] - for f_b in faces_b: - if f_b.Faces[0].IsPlanar(): - flat_faces_b.append(f_b) - else: - non_flat_faces_b.append(f_b) - - # (*) cap the cylinders - non_flat_faces_b = [f_b.CapPlanarHoles(sc.doc.ModelAbsoluteTolerance) for f_b in non_flat_faces_b] - - # (4) boolunion every object in both lists - flat_faces_b = Rhino.Geometry.Brep.CreateBooleanUnion(flat_faces_b, sc.doc.ModelAbsoluteTolerance) - non_flat_faces_b = Rhino.Geometry.Brep.CreateBooleanUnion(non_flat_faces_b, sc.doc.ModelAbsoluteTolerance) - - # (3) cap candidate cuts - flat_faces_b = [f_b.CapPlanarHoles(sc.doc.ModelAbsoluteTolerance) for f_b in flat_faces_b] - # non_flat_faces_b = [f_b.CapPlanarHoles(sc.doc.ModelAbsoluteTolerance) for f_b in non_flat_faces_b] - - # (*) merge all coplanar faces in breps cut candidates - for f_b in flat_faces_b: - if f_b is not None: - f_b.MergeCoplanarFaces(sc.doc.ModelAbsoluteTolerance) - - # (5) check if closed, if it is add to cuts, if not add to holes - for f_b in flat_faces_b: - if f_b is not None: - if f_b.IsSolid: - self._cuts.append(f_b) - if non_flat_faces_b is not None and len(non_flat_faces_b) > 0: - for f_b in non_flat_faces_b: - if f_b is not None: - if f_b.IsSolid: - self._holes.append(f_b) - - ############################################################################ - # 3. Sort faces from joints and faces from sides - ############################################################################ - # retransform back everything - for b in self._holes: - b.Transform(x_form_back) - for b in self._cuts: - b.Transform(x_form_back) - for b in self._mix: - b.Transform(x_form_back) - self.brep.Transform(x_form_back) - - # get all the medians of the faces of cuts only - cuts_faces_centroids : typing.Dict[int, typing.List[rg.Point3d]] = {} - for idx, b in enumerate(self._cuts): - idx = idx + 1 - temp_face_centroids = [] - for f in b.Faces: - centroid = self._compute_mass_center(f) - temp_face_centroids.append(centroid) - cuts_faces_centroids[idx] = temp_face_centroids - - # compare with the brep medians faces to get the joint/sides's faces - for f in self.brep.Faces: - centroid_2test = self._compute_mass_center(f) - for key, centroids in cuts_faces_centroids.items(): - is_joint = False - for centroid in centroids: - if centroid_2test.DistanceTo(centroid) < sc.doc.ModelAbsoluteTolerance: - self._faces.append([f, key]) - is_joint = True - break - if is_joint: - break - if not is_joint: - self._faces.append([f, None]) - - if self._faces is None or len(self._faces) == 0: - ghenv.Component.AddRuntimeMessage(RML.Error, "No faces found after joint detection.") + # brep vertices to cloud + df_cloud = diffCheck.diffcheck_bindings.dfb_geometry.DFPointCloud() + brep_vertices = [] + for vertex in self.brep.Vertices: + brep_vertices.append(np.array([vertex.Location.X, vertex.Location.Y, vertex.Location.Z]).reshape(3, 1)) + df_cloud.points = brep_vertices + + df_OBB = df_cloud.get_tight_bounding_box() + rh_OBB = diffCheck.df_cvt_bindings.cvt_dfOBB_2_rhbrep(df_OBB) + + # scale the box in the longest edge direction by 1.5 from center on both directions + rh_OBB_center = rh_OBB.GetBoundingBox(True).Center + edges = rh_OBB.Edges + edge_lengths = [edge.GetLength() for edge in edges] + longest_edge = edges[edge_lengths.index(max(edge_lengths))] + shortest_edge = edges[edge_lengths.index(min(edge_lengths))] + + rh_OBB_zaxis = rg.Vector3d(longest_edge.PointAt(1) - longest_edge.PointAt(0)) + rh_OBB_plane = rg.Plane(rh_OBB_center, rh_OBB_zaxis) + scale_factor = 0.09 + xform = rg.Transform.Scale( + rh_OBB_plane, + 1-scale_factor, + 1-scale_factor, + 1+scale_factor + ) + rh_OBB.Transform(xform) + + # check if face's centers are inside the OBB + faces = {} + for idx, face in enumerate(self.brep.Faces): + face_center = rg.AreaMassProperties.Compute(face).Centroid + if rh_OBB.IsPointInside(face_center, sc.doc.ModelAbsoluteTolerance, True): + faces[idx] = (face, True) + else: + faces[idx] = (face, False) + + face_jointid = {} # face : joint id (int) or None + joint_counter = 0 + for key, value in faces.items(): + if value[1]: + face_jointid[key] = joint_counter + adjacent_faces = value[0].AdjacentFaces() + for adj_face in adjacent_faces: + if faces[adj_face][1]: + face_jointid[value] = joint_counter + joint_counter += 1 + else: + face_jointid[value] = None + + o_sides = [faces[key][0] for key, value in faces.items() if not value[1]] + o_joints = [faces[key][0] for key, value in faces.items() if value[1]] + + # create the faces + # self._faces = [(face, face_jointid[idx]) for idx, face in faces.items()] + # self._faces = [DFFace.from_brep(face, face_jointid[idx]) for idx, face in faces.items()] return self._faces \ No newline at end of file From 029c5d26ee60acb32056169a729cb1179226d8b3 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sun, 9 Jun 2024 22:48:53 +0200 Subject: [PATCH 10/35] WIP-CAP: need cleaning but the new joint detector is in place --- src/gh/components/DF_xml_exporter/code.py | 77 +------------ src/gh/diffCheck/diffCheck/df_geometries.py | 41 ++++++- .../diffCheck/diffCheck/df_joint_detector.py | 103 +++++++----------- 3 files changed, 83 insertions(+), 138 deletions(-) diff --git a/src/gh/components/DF_xml_exporter/code.py b/src/gh/components/DF_xml_exporter/code.py index dd9355c6..b998571e 100644 --- a/src/gh/components/DF_xml_exporter/code.py +++ b/src/gh/components/DF_xml_exporter/code.py @@ -16,6 +16,9 @@ import diffCheck.diffcheck_bindings import diffCheck.df_cvt_bindings +import diffCheck.df_joint_detector +import diffCheck.df_geometries + class DFXMLExporter(component): def RunScript(self, @@ -36,80 +39,12 @@ def RunScript(self, o_sides = None o_debug = None ################ - ######################################## - - # # TODO: test - # breps_repaired = [] - # for brep in i_breps: - - - # # brep vertices to cloud - # df_cloud = diffCheck.diffcheck_bindings.dfb_geometry.DFPointCloud() - # brep_vertices = [] - # for vertex in brep.Vertices: - # brep_vertices.append(np.array([vertex.Location.X, vertex.Location.Y, vertex.Location.Z]).reshape(3, 1)) - # df_cloud.points = brep_vertices - - # df_OBB = df_cloud.get_tight_bounding_box() - # rh_OBB = diffCheck.df_cvt_bindings.cvt_dfOBB_2_rhbrep(df_OBB) - - # # scale the box in the longest edge direction by 1.5 from center on both directions - # rh_OBB_center = rh_OBB.GetBoundingBox(True).Center - # edges = rh_OBB.Edges - # edge_lengths = [edge.GetLength() for edge in edges] - # longest_edge = edges[edge_lengths.index(max(edge_lengths))] - # shortest_edge = edges[edge_lengths.index(min(edge_lengths))] - - # rh_OBB_zaxis = rg.Vector3d(longest_edge.PointAt(1) - longest_edge.PointAt(0)) - # rh_OBB_plane = rg.Plane(rh_OBB_center, rh_OBB_zaxis) - # scale_factor = 0.09 - # xform = rg.Transform.Scale( - # rh_OBB_plane, - # 1-scale_factor, - # 1-scale_factor, - # 1+scale_factor - # ) - # rh_OBB.Transform(xform) - - # # check if face's centers are inside the OBB - # faces = {} - # for idx, face in enumerate(brep.Faces): - # face_center = rg.AreaMassProperties.Compute(face).Centroid - # if rh_OBB.IsPointInside(face_center, sc.doc.ModelAbsoluteTolerance, True): - # faces[idx] = (face, True) - # else: - # faces[idx] = (face, False) - - # face_jointid = {} # face : joint id (int) or None - # joint_counter = 0 - # for key, value in faces.items(): - # if value[1]: - # face_jointid[key] = joint_counter - # adjacent_faces = value[0].AdjacentFaces() - # for adj_face in adjacent_faces: - # if faces[adj_face][1]: - # face_jointid[value] = joint_counter - # joint_counter += 1 - # else: - # face_jointid[value] = None - - # faces_data = [] - # for key, value in faces.items(): - # faces_data.append((value[0], value[1])) - # print(faces_data) - - # o_sides = [faces[key][0] for key, value in faces.items() if not value[1]] - # o_joints = [faces[key][0] for key, value in faces.items() if value[1]] - - - - ######################################## # beams beams: typing.List[DFBeam] = [] for brep in i_breps: - beam = DFBeam.from_brep(brep) + beam = DFBeam.from_brep_face(brep) beams.append(beam) # assembly @@ -122,8 +57,8 @@ def RunScript(self, o_xml = xml # show the joint/side faces - o_joints = [jf.to_brep() for jf in assembly1.all_joint_faces] - o_sides = [sf.to_brep() for sf in assembly1.all_side_faces] + o_joints = [jf.to_brep_face() for jf in assembly1.all_joint_faces] + o_sides = [sf.to_brep_face() for sf in assembly1.all_side_faces] return o_xml, o_joints, o_sides, o_debug diff --git a/src/gh/diffCheck/diffCheck/df_geometries.py b/src/gh/diffCheck/diffCheck/df_geometries.py index 47dbff55..09afbfa3 100644 --- a/src/gh/diffCheck/diffCheck/df_geometries.py +++ b/src/gh/diffCheck/diffCheck/df_geometries.py @@ -7,6 +7,8 @@ import Rhino import Rhino.Geometry as rg +from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML + import xml.etree.ElementTree as ET from xml.dom.minidom import parseString @@ -77,6 +79,11 @@ def __post_init__(self): self.__is_joint = False self.__id = uuid.uuid4().int + # if df_face is created from a rhino brep face, we store the rhino brep face + self._rh_brepface = None + + self.is_cylinder = False + def __repr__(self): return f"Face id: {len(self.id)}, IsJoint: {self.is_joint} Loops: {len(self.all_loops)}" @@ -93,11 +100,12 @@ def __hash__(self): def __eq__(self, other): if isinstance(other, DFFace): + # check if return self.all_loops == other.all_loops return False @classmethod - def from_brep(cls, brep_face: rg.BrepFace, joint_id: int = None): + def from_brep_face(cls, brep_face: rg.BrepFace, joint_id: int = None): """ Create a DFFace from a Rhino Brep face @@ -107,6 +115,11 @@ def from_brep(cls, brep_face: rg.BrepFace, joint_id: int = None): """ all_loops = [] + if brep_face.IsCylinder(): + cls.is_cylinder = True + df_face._rh_brepface = brep_face + return df_face + for idx, loop in enumerate(brep_face.Loops): loop_trims = loop.Trims loop_curve = loop.To3dCurve() @@ -119,16 +132,24 @@ def from_brep(cls, brep_face: rg.BrepFace, joint_id: int = None): all_loops.append(loop) df_face = cls(all_loops, joint_id) - df_face._brepface = brep_face + df_face._rh_brepface = brep_face return df_face - def to_brep(self): + def to_brep_face(self): """ Convert the face to a Rhino Brep planar face :return brep_face: The Rhino Brep planar face """ + if self._rh_brepface is not None: + return self._rh_brepface + + if self.is_cylinder: + ghenv.Component.AddRuntimeMessage( + RML.Warning, "The DFFace was a cylinder created from scratch \n \ + , it cannot convert to brep.") + brep_curves = [] for loop in self.all_loops: @@ -151,7 +172,15 @@ def to_mesh(self): :return mesh: The Rhino Mesh object """ - mesh = rg.Mesh.CreateFromBrep(self.to_brep())[0] + mesh = Rhino.Geometry.Mesh() + mesh_parts = Rhino.Geometry.Mesh.CreateFromBrep( + self.to_brep_face().ToBrep(), + Rhino.Geometry.MeshingParameters.Coarse) + for mesh_part in mesh_parts: mesh.Append(mesh_part) + mesh.Compact() + + + # mesh = rg.Mesh.CreateFromBrep(self.to_brep_face())[0] return mesh @property @@ -185,7 +214,7 @@ def __post_init__(self): self.__id = uuid.uuid4().int @classmethod - def from_brep(cls, brep): + def from_brep_face(cls, brep): """ Create a DFBeam from a RhinoBrep object. It also removes duplicates and creates a list of unique faces. @@ -193,7 +222,7 @@ def from_brep(cls, brep): faces : typing.List[DFFace] = [] data_faces = diffCheck.df_joint_detector.JointDetector(brep).run() for data in data_faces: - face = DFFace.from_brep(data[0], data[1]) + face = DFFace.from_brep_face(data[0], data[1]) faces.append(face) beam = cls("Beam", faces) return beam diff --git a/src/gh/diffCheck/diffCheck/df_joint_detector.py b/src/gh/diffCheck/diffCheck/df_joint_detector.py index 66078187..9601eca7 100644 --- a/src/gh/diffCheck/diffCheck/df_joint_detector.py +++ b/src/gh/diffCheck/diffCheck/df_joint_detector.py @@ -1,4 +1,3 @@ - import Rhino import scriptcontext as sc import Rhino.Geometry as rg @@ -9,8 +8,6 @@ import diffCheck.df_util import diffCheck.df_transformations -from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML - import numpy as np @@ -19,31 +16,39 @@ class JointDetector: """ This class is responsible for detecting joints in a brep """ - brep : Rhino.Geometry.Brep + brep: Rhino.Geometry.Brep + def __post_init__(self): - self.brep = self.brep or None - # list of straight cuts - self._cuts : typing.List[rg.Brep] = [] - # list of holes - self._holes : typing.List[rg.Brep] = [] - # list of mixed joints (cuts+holes) - self._mix : typing.List[rg.Brep]= [] - - # list of DFFaces from joints and sides self._faces = [] - def _compute_mass_center(self, b_face: rg.BrepFace) -> rg.Point3d: - """ - Compute the mass center of a brep face - :param b_face: The brep face to compute the mass center from - :return mass_center: The mass center of the brep face - """ - amp = rg.AreaMassProperties.Compute(b_face) - if amp: - return amp.Centroid - return None + def _assign_ids(self, joint_face_ids): + """ Return the extended joint ids for each face in the brep """ + joint_ids_is_found = [False] * len(joint_face_ids) + joint_ids = [None] * len(joint_face_ids) + id_counter = 0 + + for idx_1, joint_face_id_1 in enumerate(joint_face_ids): + if joint_ids_is_found[idx_1]: + continue + + joint_ids_is_found[idx_1] = True + joint_ids[idx_1] = id_counter - def run(self) : + for idx_2, joint_face_id_2 in enumerate(joint_face_ids): + if any(item in joint_face_id_1 for item in joint_face_id_2): + joint_ids_is_found[idx_2] = True + joint_ids[idx_2] = id_counter + + id_counter += 1 + + extended_ids = [None] * self.brep.Faces.Count + for idx, joint_id in enumerate(joint_ids): + for joint_face_id in joint_face_ids[idx]: + extended_ids[joint_face_id] = joint_id + + return extended_ids + + def run(self): """ Run the joint detector. We use a dictionary to store the faces of the cuts based wethear they are cuts or holes. - for cuts: If it is a cut we return the face, and the id of the joint the faces belongs to. @@ -53,59 +58,35 @@ def run(self) : """ # brep vertices to cloud df_cloud = diffCheck.diffcheck_bindings.dfb_geometry.DFPointCloud() - brep_vertices = [] - for vertex in self.brep.Vertices: - brep_vertices.append(np.array([vertex.Location.X, vertex.Location.Y, vertex.Location.Z]).reshape(3, 1)) - df_cloud.points = brep_vertices + df_cloud.points = [np.array([vertex.Location.X, vertex.Location.Y, vertex.Location.Z]).reshape(3, 1) for vertex in self.brep.Vertices] - df_OBB = df_cloud.get_tight_bounding_box() - rh_OBB = diffCheck.df_cvt_bindings.cvt_dfOBB_2_rhbrep(df_OBB) + rh_OBB = diffCheck.df_cvt_bindings.cvt_dfOBB_2_rhbrep(df_cloud.get_tight_bounding_box()) # scale the box in the longest edge direction by 1.5 from center on both directions rh_OBB_center = rh_OBB.GetBoundingBox(True).Center edges = rh_OBB.Edges edge_lengths = [edge.GetLength() for edge in edges] longest_edge = edges[edge_lengths.index(max(edge_lengths))] - shortest_edge = edges[edge_lengths.index(min(edge_lengths))] rh_OBB_zaxis = rg.Vector3d(longest_edge.PointAt(1) - longest_edge.PointAt(0)) rh_OBB_plane = rg.Plane(rh_OBB_center, rh_OBB_zaxis) scale_factor = 0.09 xform = rg.Transform.Scale( rh_OBB_plane, - 1-scale_factor, - 1-scale_factor, - 1+scale_factor + 1 - scale_factor, + 1 - scale_factor, + 1 + scale_factor ) rh_OBB.Transform(xform) # check if face's centers are inside the OBB - faces = {} - for idx, face in enumerate(self.brep.Faces): - face_center = rg.AreaMassProperties.Compute(face).Centroid - if rh_OBB.IsPointInside(face_center, sc.doc.ModelAbsoluteTolerance, True): - faces[idx] = (face, True) - else: - faces[idx] = (face, False) - - face_jointid = {} # face : joint id (int) or None - joint_counter = 0 - for key, value in faces.items(): - if value[1]: - face_jointid[key] = joint_counter - adjacent_faces = value[0].AdjacentFaces() - for adj_face in adjacent_faces: - if faces[adj_face][1]: - face_jointid[value] = joint_counter - joint_counter += 1 - else: - face_jointid[value] = None - - o_sides = [faces[key][0] for key, value in faces.items() if not value[1]] - o_joints = [faces[key][0] for key, value in faces.items() if value[1]] - - # create the faces - # self._faces = [(face, face_jointid[idx]) for idx, face in faces.items()] - # self._faces = [DFFace.from_brep(face, face_jointid[idx]) for idx, face in faces.items()] + faces = {idx: (face, rh_OBB.IsPointInside(rg.AreaMassProperties.Compute(face).Centroid, sc.doc.ModelAbsoluteTolerance, True)) for idx, face in enumerate(self.brep.Faces)} + + # get the proximity faces of the joint faces + joint_face_ids = [[key] + [adj_face for adj_face in value[0].AdjacentFaces() if faces[adj_face][1] and adj_face != key] for key, value in faces.items() if value[1]] + + face_ids = self._assign_ids(joint_face_ids) + + self._faces = [(face, face_ids[idx]) for idx, face in enumerate(self.brep.Faces)] return self._faces \ No newline at end of file From 9e48a88dab5a1f0bdcd86602a4d6783e34500bc5 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Mon, 10 Jun 2024 23:49:19 +0200 Subject: [PATCH 11/35] CAP: new joint detector + 3 components + xml export refactor --- assets/icon_pool/cloud1.png | Bin 12270 -> 0 bytes assets/icon_pool/cloud1.xcf | Bin 2999 -> 0 bytes assets/icon_pool/cloud2.png | Bin 10719 -> 0 bytes assets/icon_pool/cloud2.xcf | Bin 4887 -> 0 bytes assets/icon_pool/code_xml_export.png | Bin 12841 -> 0 bytes assets/icon_pool/code_xml_export.xcf | Bin 4971 -> 0 bytes assets/icon_pool/code_xml_export2.png | Bin 11823 -> 0 bytes assets/icon_pool/code_xml_export2.xcf | Bin 5738 -> 0 bytes assets/icon_pool/df_test_import.png | Bin 11349 -> 0 bytes assets/icon_pool/df_test_import.xcf | Bin 6930 -> 0 bytes ...l_art_game_icon__24x24__16bit__of_a(5).jpg | Bin 85652 -> 0 bytes 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+ :return o_assembly: the DFAssembly object + """ + beams: typing.List[DFBeam] = [] + for brep in i_breps: + beam = DFBeam.from_brep_face(brep) + beams.append(beam) + + o_assembly = DFAssembly(beams, i_assembly_name) + + return o_assembly + + +# if __name__ == "__main__": +# comp = DFBuildAssembly() +# o_assembly = comp.RunScript( +# i_assembly_name, +# i_breps +# ) diff --git a/src/gh/components/DF_build_assembly/icon.png b/src/gh/components/DF_build_assembly/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..6735fe70cd29007272545968e40fbe17eca810f4 GIT binary patch literal 11486 zcmeHscT`i`_HJlF=|$-vU5bGeT0)Utq*nn!2_!&hp@bqRRk{e$J4i=*Rp|&QAOccF zs?r2OkRlyk^qhO{Iph7tc;k-oe*fKMB-wkeZ+~mfZ_YK7ofWC4qee-_LIwZ;C^giT z4e*~#zh0Ms`1b{G*+cyCqOXxD&H(An>FSQP#Wmo%fZy z%0&$sh+wyx?Xm5rpyVnKS_KBP_alY}u+i`+%cMRw8ouzM+0o_Xh|J*(FznB7^vz!@D zXGH`3=1w*bOh2|Jz0}$ECuO{G5w<$J5OS_ckI;o)tUI?}@!?Qxsv7g=ck0zW**hwR zZxps38B$P8WGgOr^pMUl2cndllIr!b^9N5xko 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"bf6f47fe-2a7e-47b5-b1c4-c716c524d245", + "ghpython": { + "hideOutput": true, + "hideInput": true, + "isAdvancedMode": true, + "marshalOutGuids": true, + "iconDisplay": 2, + "inputParameters": [ + { + "name": "i_assembly_name", + "nickname": "i_assembly_name", + "description": "The name of the assembly to export.", + "optional": false, + "allowTreeAccess": true, + "showTypeHints": true, + "scriptParamAccess": "item", + "wireDisplay": "default", + "sourceCount": 0, + "typeHintID": "str" + }, + { + "name": "i_breps", + "nickname": "i_breps", + "description": "The breps of the structure.", + "optional": true, + "allowTreeAccess": true, + "showTypeHints": true, + "scriptParamAccess": "list", + "wireDisplay": "default", + "sourceCount": 0, + "typeHintID": "brep" + } + ], + "outputParameters": [ + { + "name": "o_assembly", + "nickname": "o_assembly", + "description": "The create DFAssembly object representing the timber elements.", + "optional": false, + "sourceCount": 0, + "graft": false + } + ] + } +} \ No newline at end of file diff --git a/src/gh/components/DF_deconstruct_assembly/code.py b/src/gh/components/DF_deconstruct_assembly/code.py new file mode 100644 index 00000000..f4c0686a --- /dev/null +++ b/src/gh/components/DF_deconstruct_assembly/code.py @@ -0,0 +1,35 @@ +#! python3 + +import System +import typing + +import Rhino +import Rhino.Geometry as rg +import scriptcontext as sc + +from ghpythonlib.componentbase import executingcomponent as component + +import diffCheck +from diffCheck.df_geometries import DFBeam, DFAssembly + + +class DFDeconstructAssembly(component): + def RunScript(self, + i_assembly): + """ + Deconstruct the DFAssembly into a set of df_beams objects. + + :param i_assembly: the DFAssembly object + + :return o_beams + """ + o_beams = i_assembly.beams + + return o_beams + + +# if __name__ == "__main__": +# comp = DFDeconstructAssembly() +# o_beams = comp.RunScript( +# i_assembly +# ) diff --git 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"subcategory": "Structure", + "description": "Deconstruct the DFBeam objects into semantic Rhino objects.", + "exposure": 4, + "instanceGuid": "c052b02b-87f2-44ed-8fe7-e2b1f34edcf0", + "ghpython": { + "hideOutput": true, + "hideInput": true, + "isAdvancedMode": true, + "marshalOutGuids": true, + "iconDisplay": 2, + "inputParameters": [ + { + "name": "i_beams", + "nickname": "i_beams", + "description": "The DFBeam objects to deconstruct.", + "optional": false, + "allowTreeAccess": true, + "showTypeHints": true, + "scriptParamAccess": "list", + "wireDisplay": "default", + "sourceCount": 0, + "typeHintID": "ghdoc", + "graft": true + } + ], + "outputParameters": [ + { + "name": "o_side_faces", + "nickname": "o_side_faces", + "description": "The side faces of as Breps of the beam.", + "optional": false, + "sourceCount": 0, + "graft": false + }, + { + "name": "o_joint_faces", + "nickname": "o_joint_faces", + "description": "The faces as Breps belonging to joints of the beam.", + "optional": false, + "sourceCount": 0, + "graft": false + }, + { + "name": "o_joint_ids", + "nickname": "o_joint_ids", + "description": "An integer indicating to which joint the joint faces are belonging to.", + "optional": false, + "sourceCount": 0, + "graft": false + } + ] + } +} \ No newline at end of file diff --git a/src/gh/components/DF_bind_tester/code.py b/src/gh/components/DF_tester/code.py similarity index 96% rename from src/gh/components/DF_bind_tester/code.py rename to src/gh/components/DF_tester/code.py index a2913c89..6292bdbd 100644 --- a/src/gh/components/DF_bind_tester/code.py +++ b/src/gh/components/DF_tester/code.py @@ -12,7 +12,7 @@ import diffCheck from diffCheck import diffcheck_bindings -class DFBindTester(component): +class DFTester(component): def RunScript(self): """ The component test and import bind module for diffCheck. diff --git a/src/gh/components/DF_tester/icon.png b/src/gh/components/DF_tester/icon.png new file mode 100644 index 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a/src/gh/components/DF_bind_tester/metadata.json +++ b/src/gh/components/DF_tester/metadata.json @@ -1,9 +1,9 @@ { - "name": "DFBindTester", - "nickname": "BindT", + "name": "DFTester", + "nickname": "DFT", "category": "diffCheck", "subcategory": "Utility", - "description": "This component is testing the binding import of diffCheck.", + "description": "This component is testing diffCheck imports and bindings.", "exposure": 4, "instanceGuid": "7a600924-29bb-4682-8b95-a37752cefdbc", "ghpython": { diff --git a/src/gh/components/DF_xml_exporter/code.py b/src/gh/components/DF_xml_exporter/code.py index b998571e..01ec7e76 100644 --- a/src/gh/components/DF_xml_exporter/code.py +++ b/src/gh/components/DF_xml_exporter/code.py @@ -9,65 +9,34 @@ from ghpythonlib.componentbase import executingcomponent as component -import diffCheck -from diffCheck.df_geometries import DFBeam, DFAssembly -import diffCheck.df_transformations - -import diffCheck.diffcheck_bindings -import diffCheck.df_cvt_bindings - -import diffCheck.df_joint_detector -import diffCheck.df_geometries - class DFXMLExporter(component): def RunScript(self, i_dump: bool, - i_assembly_name, i_export_dir, - i_breps: System.Collections.Generic.IList[Rhino.Geometry.Brep]): + i_assembly): """ - This read breps from Rhino, converts them to DFBeams and DFAssemblies, and exports them to XML. + Export the DFAssembly to XML. :param i_dump: whether to dump the xml - :param i_export_dir: directory to export the xml - :param i_breps: list of breps - """ - ################ - o_xml = None - o_joints = None - o_sides = None - o_debug = None - ################ - ######################################## - - # beams - beams: typing.List[DFBeam] = [] - for brep in i_breps: - beam = DFBeam.from_brep_face(brep) - beams.append(beam) - - # assembly - assembly1 = DFAssembly(beams, i_assembly_name) + :param i_assembly: the assembly to export + :return o_xml: the xml string + """ # dump the xml - xml: str = assembly1.to_xml() + o_xml = None + xml: str = i_assembly.to_xml() if i_dump: - assembly1.dump_xml(xml, i_export_dir) + i_assembly.dump_xml(xml, i_export_dir) o_xml = xml - # show the joint/side faces - o_joints = [jf.to_brep_face() for jf in assembly1.all_joint_faces] - o_sides = [sf.to_brep_face() for sf in assembly1.all_side_faces] - - return o_xml, o_joints, o_sides, o_debug + return o_xml -if __name__ == "__main__": - com = DFXMLExporter() - o_xml, o_joints, o_sides, o_debug = com.RunScript( - i_dump, - i_assembly_name, - i_export_dir, - i_breps - ) \ No newline at end of file +# if __name__ == "__main__": +# com = DFXMLExporter() +# o_xml = com.RunScript( +# i_dump, +# i_export_dir, +# i_assembly, +# ) \ No newline at end of file diff --git a/src/gh/components/DF_xml_exporter/icon.png b/src/gh/components/DF_xml_exporter/icon.png index 13a4fcfde8a33f3e8fc216f592745f4f4e0005f1..56e9ae1dca56e9cec1750418f7c2b2397f8245ac 100644 GIT binary patch delta 8631 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DFAssemblies and export it to XML.", + "description": "This component reads a DFAssembly object to export it to XML.", "exposure": 4, "instanceGuid": "cdae4bd5-d18e-4b06-9367-791b6b1f6837", "ghpython": { @@ -16,7 +16,7 @@ { "name": "i_dump", "nickname": "i_dump", - "description": "Press button to export xml", + "description": "Button to export the xml.", "optional": true, "allowTreeAccess": true, "showTypeHints": true, @@ -25,22 +25,10 @@ "sourceCount": 0, "typeHintID": "bool" }, - { - "name": "i_assembly_name", - "nickname": "i_assembly_name", - "description": "The name of the assembly to export.", - "optional": false, - "allowTreeAccess": true, - "showTypeHints": true, - "scriptParamAccess": "item", - "wireDisplay": "default", - "sourceCount": 0, - "typeHintID": "str" - }, { "name": "i_export_dir", "nickname": "i_export_dir", - "description": "The directors where to export the xml file.", + "description": "The folder where to export the xml.", "optional": true, "allowTreeAccess": true, "showTypeHints": true, @@ -50,16 +38,16 @@ "typeHintID": "str" }, { - "name": "i_breps", - "nickname": "i_breps", - "description": "The breps of the structure.", + "name": "i_assembly", + "nickname": "i_assembly", + "description": "The assembly object", "optional": true, "allowTreeAccess": true, "showTypeHints": true, - "scriptParamAccess": "list", + "scriptParamAccess": "item", "wireDisplay": "default", "sourceCount": 0, - "typeHintID": "brep" + "typeHintID": "ghdoc" } ], "outputParameters": [ @@ -70,22 +58,6 @@ "optional": false, "sourceCount": 0, "graft": false - }, - { - "name": "o_joints", - "nickname": "o_joints", - "description": "The breps of the faces belonging to joints.", - "optional": false, - "sourceCount": 0, - "graft": false - }, - { - "name": "o_sides", - "nickname": "o_sides", - "description": "The breps of the faces belonging to sides.", - "optional": false, - "sourceCount": 0, - "graft": false } ] } diff --git a/src/gh/diffCheck/diffCheck/df_geometries.py b/src/gh/diffCheck/diffCheck/df_geometries.py index 09afbfa3..6f0811ce 100644 --- a/src/gh/diffCheck/diffCheck/df_geometries.py +++ b/src/gh/diffCheck/diffCheck/df_geometries.py @@ -227,6 +227,17 @@ def from_brep_face(cls, brep): beam = cls("Beam", faces) return beam + def to_brep(self): + """ + Convert the beam to a Rhino Brep object + """ + brep = rg.Brep() + for face in self.faces: + brep.Append(face.to_brep_face()) + brep.Compact() + + return brep + def __repr__(self): return f"Beam: {self.name}, Faces: {len(self.faces)}" From 4255081539e3e404c46b8636af2f691239a98627 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Tue, 11 Jun 2024 21:47:58 +0200 Subject: [PATCH 12/35] ADD: example file for assembly system --- src/gh/examples/assembly_beam_system.ghx | 1255 ++++++++++++++++++++++ 1 file changed, 1255 insertions(+) create mode 100644 src/gh/examples/assembly_beam_system.ghx diff --git a/src/gh/examples/assembly_beam_system.ghx b/src/gh/examples/assembly_beam_system.ghx new file 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 + + + + + \ No newline at end of file From b4e6e24368da6654a19429b3c291879afee64e5b Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Thu, 13 Jun 2024 14:03:16 +0200 Subject: [PATCH 13/35] WIP-MERGE: cleaning from merge diffcheck joint detector --- CMakeLists.txt | 49 ++++++++++++++++++++++------ deps/eigen | 2 +- deps/pybind11 | 2 +- tests/entry_test.cc | 17 ++++++++++ tests/unit_tests/DFPointCloudTest.cc | 21 ++++++++++++ 5 files changed, 79 insertions(+), 12 deletions(-) create mode 100644 tests/entry_test.cc create mode 100644 tests/unit_tests/DFPointCloudTest.cc diff --git a/CMakeLists.txt b/CMakeLists.txt index 431b56d9..6802e8f0 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -115,15 +115,6 @@ target_include_directories(${APP_NAME_EXE} PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/src ) -#-------------------------------------------------------------------------- -# Tests -#-------------------------------------------------------------------------- - -# include(CTest) -# enable_testing() - -# add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/tests/global_registrations) - #-------------------------------------------------------------------------- # pybind11 #-------------------------------------------------------------------------- @@ -167,4 +158,42 @@ if (BUILD_PYTHON_MODULE) ) endforeach() -endif() \ No newline at end of file +endif() + +#-------------------------------------------------------------------------- +# Tests +#-------------------------------------------------------------------------- + +# include(CTest) +# enable_testing() +# add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/deps/googletest) +# set(TESTS_OUT_DIR ${CMAKE_BINARY_DIR}/tests/) + + +# # Unit testing ------------------------------------------------------------ +# set(UNIT_TESTS unit_tests) +# add_executable(${UNIT_TESTS} tests/unit_tests/DFPointCloudTest.cc) +# set_target_properties(${UNIT_TESTS} PROPERTIES +# RUNTIME_OUTPUT_DIRECTORY ${TESTS_OUT_DIR} +# ) + +# target_link_libraries(${UNIT_TESTS} gtest gtest_main) +# target_link_libraries(${UNIT_TESTS} ${SHARED_LIB_NAME}) + +# add_test(NAME ${UNIT_TESTS} COMMAND ${UNIT_TESTS}) + +# Integration testing ----------------------------------------------------- +# Component testing ------------------------------------------------------- +# etc --------------------------------------------------------------------- + +# # TODO: a better way to copy the dlls to the tests directory for the tests +# # get all the files -dlls in the bin directory and copy them one by one to tests dir +# file(GLOB files ${CMAKE_BINARY_DIR}/bin/Release/*.dll) +# foreach(file ${files}) +# message(STATUS "Copying ${file} to ${TESTS_OUT_DIR}") +# add_custom_command(TARGET ${UNIT_TESTS} POST_BUILD +# COMMAND ${CMAKE_COMMAND} -E copy +# ${file} +# ${TESTS_OUT_DIR}/Release +# ) +# endforeach() \ No newline at end of file diff --git a/deps/eigen b/deps/eigen index 27f81762..02bcf9b5 160000 --- a/deps/eigen +++ b/deps/eigen @@ -1 +1 @@ -Subproject commit 27f8176254a6e84400db662a62f1825cc5c65bc0 +Subproject commit 02bcf9b5918d46016bc88e5e9abebb6caa5a80b7 diff --git a/deps/pybind11 b/deps/pybind11 index 1a0ff405..ab955f15 160000 --- a/deps/pybind11 +++ b/deps/pybind11 @@ -1 +1 @@ -Subproject commit 1a0ff405498b6aac4b57cf0d95670010e5e37973 +Subproject commit ab955f158c0f34320d0e65048459a6495f62978e diff --git a/tests/entry_test.cc b/tests/entry_test.cc new file mode 100644 index 00000000..e6dd32ce --- /dev/null +++ b/tests/entry_test.cc @@ -0,0 +1,17 @@ +#include + +// Function to test +int add(int a, int b) { + return a + b; +} + +// Test case +TEST(AddTest, HandlesPositiveInput) { + EXPECT_EQ(6, add(2, 4)); +} + +// Main function +int main(int argc, char **argv) { + ::testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} \ No newline at end of file diff --git a/tests/unit_tests/DFPointCloudTest.cc b/tests/unit_tests/DFPointCloudTest.cc new file mode 100644 index 00000000..8e552928 --- /dev/null +++ b/tests/unit_tests/DFPointCloudTest.cc @@ -0,0 +1,21 @@ +#include +#include "diffCheck.hh" + + +TEST(DFPointCloudTest, TestConstructor) { + std::vector points = {Eigen::Vector3d(1, 2, 3)}; + std::vector colors = {Eigen::Vector3d(255, 255, 255)}; + std::vector normals = {Eigen::Vector3d(0, 0, 1)}; + + diffCheck::geometry::DFPointCloud dfPointCloud(points, colors, normals); + + // Verify that the points, colors, and normals are set correctly + EXPECT_EQ(dfPointCloud.Points[0], points[0]); + EXPECT_EQ(dfPointCloud.Colors[0], colors[0]); + EXPECT_EQ(dfPointCloud.Normals[0], normals[0]); +} + +int main(int argc, char **argv) { + ::testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} \ No newline at end of file From 56dff2e41e3166711cb7e7aff810132f94b1475c Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Thu, 13 Jun 2024 14:11:18 +0200 Subject: [PATCH 14/35] FIX: compiling fix in c++ solved --- src/diffCheck/geometry/DFPointCloud.cc | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/diffCheck/geometry/DFPointCloud.cc b/src/diffCheck/geometry/DFPointCloud.cc index 56d1824d..560b11f3 100644 --- a/src/diffCheck/geometry/DFPointCloud.cc +++ b/src/diffCheck/geometry/DFPointCloud.cc @@ -105,6 +105,8 @@ namespace diffCheck::geometry this->Normals.clear(); for (auto &normal : O3DPointCloudDown->normals_) this->Normals.push_back(normal); + } + std::vector DFPointCloud::GetTightBoundingBox() { open3d::geometry::OrientedBoundingBox tightOOBB = this->Cvt2O3DPointCloud()->GetMinimalOrientedBoundingBox(); From 40302266f67e4bbe21d48a8a18275edf7fe01809 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Wed, 19 Jun 2024 23:25:18 +0200 Subject: [PATCH 15/35] WIP: light readme cleaning --- README.md | 26 ++++++-------------------- 1 file changed, 6 insertions(+), 20 deletions(-) diff --git a/README.md b/README.md index 60ed853a..f632c6eb 100644 --- a/README.md +++ b/README.md @@ -34,20 +34,6 @@ gantt Fabrication of CNC Prototype :crit, fabcnc, 2024-07-01, 2024-08-30 Fabrication of Robot Prototype :crit, fabrob, 2024-07-01, 2024-08-30 Data collection and evaluation :dataeval, after fabrob, 4w -``` - -```mermaid -gantt - dateFormat YYYY-MM-DD - title diffCheck - backend dev - excludes weekends - - data i/o :active, dataio, 2024-03-15, 3w - global registration :glbreg, 2024-03-29, 2w - semantic seg. from 3D model :semseg, after glbreg, 1w - local registration :locreg, after semseg, 2w - error computation + results :errcomp, after locreg, 1w -``` ## 3rd party libraries @@ -63,22 +49,22 @@ To build and test the project, follow the following steps: ```terminal cmake/config.bat cmake/build.bat -./build/bin/Release/diffCheckApp.exe <-- for prototyping +./build/bin/Release/diffCheckApp.exe <-- for prototyping in c++ ``` ## Prototype diffCheck in C++ To prototype: 1) add a header/source file in `src/diffCheck` and include the header in `diffCheck.hh` interface -1) test it in `diffCheckApp` (the cmake will output an executable in bin) +2) test it in `diffCheckApp` (the cmake will output an executable in bin) See the [CONTRIBUTING.md](https://github.com/diffCheckOrg/diffCheck/blob/main/CONTRIBUTING.md) for more information on how to prototype with diffCheck (code guidelines, visualizer, utilities, etc). ## Component roadmap From the 3/5/2024 meeting, the architecture of the different grasshopper components was discussed as following: -- [ ] PLY loader point cloud: @eleni: loads the pointcloud ply files and converts it into rg.PointCloud (+ cvt submodule) -- [ ] PLY loader mesh: @eleni: loads the mesh ply files and converts it into rg.Mesh (+ cvt submodule) -- [ ] Global registration: @andrea: to align the scan to the reference model -- [ ] Refined registration: @andrea: to refine the alignement +- [x] PLY loader point cloud: @eleni: loads the pointcloud ply files and converts it into rg.PointCloud (+ cvt submodule) +- [x] PLY loader mesh: @eleni: loads the mesh ply files and converts it into rg.Mesh (+ cvt submodule) +- [x] Global registration: @andrea: to align the scan to the reference model +- [x] Refined registration: @andrea: to refine the alignement - [ ] Semantic segmentation additive: to identify the pieces or joints in the point cloud - [ ] Semantic segmentation subtractive: to identify the pieces or joints in the point cloud - [ ] Per-joint refinement to refine the global registration to each joints (only in the "substractive" case) From 803fee2e8c384f2bfac643db4520f6e9804742bc Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Wed, 19 Jun 2024 23:25:56 +0200 Subject: [PATCH 16/35] FIX: typo on mermaid plan --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index f632c6eb..c9578dcf 100644 --- a/README.md +++ b/README.md @@ -34,6 +34,7 @@ gantt Fabrication of CNC Prototype :crit, fabcnc, 2024-07-01, 2024-08-30 Fabrication of Robot Prototype :crit, fabrob, 2024-07-01, 2024-08-30 Data collection and evaluation :dataeval, after fabrob, 4w +``` ## 3rd party libraries From f6fd4e9225b0dd56cac00466c9e49d5be42939a8 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Mon, 24 Jun 2024 15:08:37 +0200 Subject: [PATCH 17/35] WIP-ADD: AssociateSegments function created --- src/diffCheck/segmentation/DFSegmentation.hh | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/src/diffCheck/segmentation/DFSegmentation.hh b/src/diffCheck/segmentation/DFSegmentation.hh index c74354ac..b1a65ccf 100644 --- a/src/diffCheck/segmentation/DFSegmentation.hh +++ b/src/diffCheck/segmentation/DFSegmentation.hh @@ -24,5 +24,16 @@ namespace diffCheck::segmentation bool useKnnNeighborhood = true, int knnNeighborhoodSize = 10, int radiusNeighborhoodSize = 10); + + /** + * @brief From a vector of mesh faces, finds in a vector of cloud segments the corresponding segments as a unified point cloud + * @param meshFaces the mesh faces to compare + * @param segments the segments to compare + * @return std::tuple, std::vector> > the unified point cloud and the corresponding segments as a tuple + */ + static std::tuple, std::vector>> AssociateSegments( + std::vector> meshFaces, + std::vector> segments, + double associationThreshold); }; } // namespace diffCheck::segmentation \ No newline at end of file From 1adc9de1e5edaa1cbb50639161d79df4eafead73 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Mon, 24 Jun 2024 19:02:44 +0200 Subject: [PATCH 18/35] FIX: renaming of cilantro segmentation wrap following review --- src/diffCheck/segmentation/DFSegmentation.cc | 2 +- src/diffCheck/segmentation/DFSegmentation.hh | 2 +- src/diffCheckApp.cc | 2 +- src/diffCheckBindings.cc | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index 7bd954c9..5632a002 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -6,7 +6,7 @@ namespace diffCheck::segmentation { - std::vector> DFSegmentation::SmoothSegmentation( + std::vector> DFSegmentation::NormalBasedSegmentation( geometry::DFPointCloud &pointCloud, float voxelSize, float normalThresholdDegree, diff --git a/src/diffCheck/segmentation/DFSegmentation.hh b/src/diffCheck/segmentation/DFSegmentation.hh index c74354ac..ca0af783 100644 --- a/src/diffCheck/segmentation/DFSegmentation.hh +++ b/src/diffCheck/segmentation/DFSegmentation.hh @@ -16,7 +16,7 @@ namespace diffCheck::segmentation * @param radiusNeighborhoodSize the radius of the neighborhood size for the "radius search". This is used when useKnnNeighborhood is false. A higher number will result in smoother segmentation, but at the cost of computation time. * @return std::vector> the segmented point clouds */ - static std::vector> SmoothSegmentation( + static std::vector> NormalBasedSegmentation( geometry::DFPointCloud &pointCloud, float voxelSize = 0.2, float normalThresholdDegree = 20, diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 78e45887..8bd871fc 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -15,7 +15,7 @@ int main() pcdSrc->LoadFromPLY(pathPcdSrc); meshSrc->LoadFromPLY(pathMeshSrc); - segments = diffCheck::segmentation::DFSegmentation::SmoothSegmentation(*pcdSrc, 0.01, 1, 30, true, 50, 30); + segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation(*pcdSrc, 0.01, 1, 30, true, 50, 30); std::cout << "number of segments:" << segments.size()<< std::endl; diffCheck::visualizer::Visualizer vis; diff --git a/src/diffCheckBindings.cc b/src/diffCheckBindings.cc index 9cdcca75..79fbabe0 100644 --- a/src/diffCheckBindings.cc +++ b/src/diffCheckBindings.cc @@ -159,7 +159,7 @@ PYBIND11_MODULE(diffcheck_bindings, m) { py::module_ submodule_segmentation = m.def_submodule("dfb_segmentation", "A submodule for the `semantic` segmentation methods."); py::class_(submodule_segmentation, "DFSegmentation") - .def_static("smooth_segmentation", &diffCheck::segmentation::DFSegmentation::SmoothSegmentation, + .def_static("smooth_segmentation", &diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation, py::arg("point_cloud"), py::arg("voxel_size") = 1, py::arg("normal_threshold_degree") = 20, From 8bff20fdfde3f498ada4878d4caaccbde31777e4 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Tue, 25 Jun 2024 15:59:08 +0200 Subject: [PATCH 19/35] WIP: creation of the aggregatino function that associates point cloud segments to mesh faces --- src/diffCheck/segmentation/DFSegmentation.cc | 86 ++++++++++++++++++++ src/diffCheckApp.cc | 40 +++++++-- 2 files changed, 117 insertions(+), 9 deletions(-) diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index 5632a002..c4a41601 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -97,4 +97,90 @@ namespace diffCheck::segmentation return segments; } + + std::tuple, std::vector>> DFSegmentation::AssociateSegments( + std::vector> meshFaces, + std::vector> segments, + double associationThreshold) + { + std::shared_ptr unifiedPointCloud = std::make_shared(); + std::vector> segmentsRemainder; + + // iterate through the mesh faces given as function argument + for (auto face : meshFaces) + { + std::shared_ptr correspondingSegment; + + // Getting the center of the mesh face + Eigen::Vector3d faceCenter = Eigen::Vector3d::Zero(); + for (auto vertex : face->Vertices){faceCenter += vertex;} + faceCenter /= face->GetNumVertices(); + + if (face->NormalsFace.size() == 0) + { + std::cout << "face has no normals, computing normals" << std::endl; + std::shared_ptr o3dFace = face->Cvt2O3DTriangleMesh(); + o3dFace->ComputeTriangleNormals(); + face->NormalsFace.clear(); + for (auto normal : o3dFace->triangle_normals_) + { + face->NormalsFace.push_back(normal.cast()); + } + } + + // Getting the normal of the mesh face + Eigen::Vector3d faceNormal = face->NormalsFace[0]; + + // iterate through the segments to find the closest ones compared to the face center taking the normals into account + Eigen::Vector3d segmentCenter = Eigen::Vector3d::Zero(); + Eigen::Vector3d segmentNormal = Eigen::Vector3d::Zero(); + double faceDistance = (segments[0]->Points[0] - faceCenter).norm() / std::pow(std::abs(segments[0]->Normals[0].dot(faceNormal)), 2); + int segmentIndex = 0; + for (auto segment : segments) + { + for (auto point : segment->Points) + { + segmentCenter += point; + } + segmentCenter /= segment->GetNumPoints(); + + if (segment->Normals.size() == 0) + { + std::shared_ptr o3dSegment = segment->Cvt2O3DPointCloud(); + o3dSegment->EstimateNormals(); + segment->Normals.clear(); + for (auto normal : o3dSegment->normals_) + { + segment->Normals.push_back(normal.cast()); + } + } + for (auto normal : segment->Normals) + { + segmentNormal += normal; + } + segmentNormal.normalize(); + + double currentDistance = (faceCenter - segmentCenter).norm() / std::pow(std::abs(segmentNormal.dot(faceNormal)), 2); + // if the distance is smaller than the previous one, update the distance and the corresponding segment + if (currentDistance < faceDistance) + { + correspondingSegment = segment; + // storing previous segment in the remainder vector + faceDistance = currentDistance; + } + segmentIndex++; + } + // remove the segment fron the segments vector + segments.erase(std::remove(segments.begin(), segments.end(), correspondingSegment), segments.end()); + + // Add the closest points of the corresponding segment to the unified point cloud + for (auto point : correspondingSegment->Points) + { + unifiedPointCloud->Points.push_back(point); + correspondingSegment->Points.erase(std::remove(correspondingSegment->Points.begin(), correspondingSegment->Points.end(), point), correspondingSegment->Points.end()); + } + } + return std::make_tuple(unifiedPointCloud, segments); + } + } // namespace diffCheck::segmentation \ No newline at end of file diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 8bd871fc..455477fb 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -7,30 +7,52 @@ int main() { std::shared_ptr pcdSrc = std::make_shared(); - std::shared_ptr meshSrc = std::make_shared(); + std::vector> meshSrc = std::vector>(); std::vector> segments; - std::string pathMeshSrc = R"(C:\Users\localuser\Downloads\02_mesh.ply)"; + std::vector meshPaths; + + std::string meshesFolderPath = R"(C:\Users\localuser\Desktop\other_meshes_for_diffCheck\)"; + + for (int i = 1; i <= 14; i++) + { + std::string meshPath = meshesFolderPath + std::to_string(i) + ".ply"; + std::shared_ptr mesh = std::make_shared(); + mesh->LoadFromPLY(meshPath); + meshSrc.push_back(mesh); + } + std::string pathPcdSrc = R"(C:\Users\localuser\Downloads\02_points_with_errors_1e6_pts.ply)"; pcdSrc->LoadFromPLY(pathPcdSrc); - meshSrc->LoadFromPLY(pathMeshSrc); - segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation(*pcdSrc, 0.01, 1, 30, true, 50, 30); + segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation(*pcdSrc, 5, 1, 20, true, 50, 200); std::cout << "number of segments:" << segments.size()<< std::endl; + std::tuple, std::vector>> unifiedSegments = + diffCheck::segmentation::DFSegmentation::AssociateSegments(meshSrc, segments, 50); + + diffCheck::visualizer::Visualizer vis; - vis.AddMesh(meshSrc); - for (auto segment : segments) + for (int i = 0; i < 1; i++) { // colorize the segments with random colors double r = static_cast(rand()) / RAND_MAX; double g = static_cast(rand()) / RAND_MAX; double b = static_cast(rand()) / RAND_MAX; - for (int i = 0; i < segment->Points.size(); i++) + for (int i = 0; i < std::get<0>(unifiedSegments)->Points.size(); i++) + { + std::get<0>(unifiedSegments)->Colors.push_back(Eigen::Vector3d(r, g, b)); + } + vis.AddPointCloud(std::get<0>(unifiedSegments)); + + for (auto segemt : std::get<1>(unifiedSegments)) { - segment->Colors.push_back(Eigen::Vector3d(r, g, b)); + for (int i = 0; i < segemt->Points.size(); i++) + { + segemt->Colors.push_back(Eigen::Vector3d(0, 0, 1)); + } + vis.AddPointCloud(segemt); } - vis.AddPointCloud(segment); } vis.Run(); From e0b531df31c19f8b1b49e6f7c633c1d59acb494b Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sat, 29 Jun 2024 16:36:45 +0200 Subject: [PATCH 20/35] ADD: small cmake utilitiy for dev convinience --- cmake/build_run.bat | 1 + 1 file changed, 1 insertion(+) create mode 100644 cmake/build_run.bat diff --git a/cmake/build_run.bat b/cmake/build_run.bat new file mode 100644 index 00000000..66e77f2e --- /dev/null +++ b/cmake/build_run.bat @@ -0,0 +1 @@ +.\cmake\build.bat ; if ($?) { .\build\bin\Release\diffCheckApp.exe } \ No newline at end of file From 3940e233780013a5235535dc8b4f1fae2b922f39 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sat, 29 Jun 2024 18:20:53 +0200 Subject: [PATCH 21/35] ADD: normal estimation to dfcloud --- src/diffCheck/geometry/DFPointCloud.cc | 32 ++++++++++++++++++++++++++ src/diffCheck/geometry/DFPointCloud.hh | 13 +++++++++++ 2 files changed, 45 insertions(+) diff --git a/src/diffCheck/geometry/DFPointCloud.cc b/src/diffCheck/geometry/DFPointCloud.cc index 7501a485..c5e09dae 100644 --- a/src/diffCheck/geometry/DFPointCloud.cc +++ b/src/diffCheck/geometry/DFPointCloud.cc @@ -1,4 +1,5 @@ #include "DFPointCloud.hh" +#include "diffCheck/log.hh" #include "diffCheck/IOManager.hh" @@ -55,6 +56,37 @@ namespace diffCheck::geometry return extremePoints; } + void DFPointCloud::EstimateNormals( + std::optional knn, + std::optional searchRadius + ) + { + auto O3DPointCloud = this->Cvt2O3DPointCloud(); + O3DPointCloud->EstimateNormals(); + + if (knn.value() != 30 && searchRadius.has_value() == false) + { + open3d::geometry::KDTreeSearchParamKNN knnSearchParam(knn.value()); + O3DPointCloud->EstimateNormals(knnSearchParam); + DIFFCHECK_INFO(("Estimating normals with knn = " + std::to_string(knn.value())).c_str()); + } + else if (searchRadius.has_value()) + { + open3d::geometry::KDTreeSearchParamHybrid hybridSearchParam(searchRadius.value(), knn.value()); + O3DPointCloud->EstimateNormals(hybridSearchParam); + DIFFCHECK_INFO(("Estimating normals with hybrid search radius = " + std::to_string(searchRadius.value()) + "and knn = " + std::to_string(knn.value())).c_str()); + } + else + { + O3DPointCloud->EstimateNormals(); + DIFFCHECK_INFO("Default estimation of normals with knn = 30"); + } + + this->Normals.clear(); + for (auto &normal : O3DPointCloud->normals_) + this->Normals.push_back(normal); + } + void DFPointCloud::VoxelDownsample(double voxelSize) { if (voxelSize <= 0) diff --git a/src/diffCheck/geometry/DFPointCloud.hh b/src/diffCheck/geometry/DFPointCloud.hh index 691f38c2..4bbe9953 100644 --- a/src/diffCheck/geometry/DFPointCloud.hh +++ b/src/diffCheck/geometry/DFPointCloud.hh @@ -1,5 +1,6 @@ #pragma once +#include #include #include @@ -58,6 +59,18 @@ namespace diffCheck::geometry */ std::vector ComputeBoundingBox(); + /** + * @brief Estimate the normals of the point cloud by either knn or if the radius + * is provided by hybrid search. + * + * Reference from Open3d. + * @param knn the number of nearest neighbors to consider (by default 30) + * @param searchRadius the radius of the search, by default deactivated + */ + void EstimateNormals( + std::optional knn = 30, + std::optional searchRadius = std::nullopt); + public: ///< Downsamplers /** * @brief Downsample the point cloud with voxel grid From acc643c8844922690f99989def4343a9f521276a Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sat, 29 Jun 2024 23:57:08 +0200 Subject: [PATCH 22/35] TEMP: working on colored cluster + visualizer --- src/diffCheck.hh | 2 + src/diffCheck/geometry/DFPointCloud.cc | 133 ++++++++++++++++--- src/diffCheck/geometry/DFPointCloud.hh | 19 ++- src/diffCheck/segmentation/DFSegmentation.cc | 77 ++++++----- src/diffCheck/segmentation/DFSegmentation.hh | 8 +- src/diffCheck/visualizer.cc | 20 +-- src/diffCheck/visualizer.hh | 2 +- src/diffCheckApp.cc | 28 +++- src/diffCheckBindings.cc | 4 +- 9 files changed, 215 insertions(+), 78 deletions(-) diff --git a/src/diffCheck.hh b/src/diffCheck.hh index 83b3ca64..44fe0dc2 100644 --- a/src/diffCheck.hh +++ b/src/diffCheck.hh @@ -3,6 +3,8 @@ #include #include +#include + // diffCheck includes #include "diffCheck/log.hh" const diffCheck::Log LOG = diffCheck::Log(); diff --git a/src/diffCheck/geometry/DFPointCloud.cc b/src/diffCheck/geometry/DFPointCloud.cc index c5e09dae..995adb11 100644 --- a/src/diffCheck/geometry/DFPointCloud.cc +++ b/src/diffCheck/geometry/DFPointCloud.cc @@ -8,6 +8,10 @@ namespace diffCheck::geometry { void DFPointCloud::Cvt2DFPointCloud(const std::shared_ptr &O3DPointCloud) { + this->Points.clear(); + this->Colors.clear(); + this->Normals.clear(); + if (O3DPointCloud->points_.size() != 0) for (auto &point : O3DPointCloud->points_) this->Points.push_back(point); @@ -19,6 +23,44 @@ namespace diffCheck::geometry this->Normals.push_back(normal); } + void DFPointCloud::Cvt2DFPointCloud(const std::shared_ptr &cilantroPointCloud) + { + this->Points.clear(); + this->Colors.clear(); + this->Normals.clear(); + + auto ptt = cilantroPointCloud->points; + int n_pt = (int)ptt.cols(); + auto col = cilantroPointCloud->colors; + auto nor = cilantroPointCloud->normals; + + if (n_pt == 0) + throw std::invalid_argument("The point cloud is empty."); + for (int i = 0; i < n_pt; i++) + { + Eigen::Vector3d pt_d = ptt.col(i).cast(); + this->Points.push_back(pt_d); + } + + if (cilantroPointCloud->hasColors()) + { + for (int i = 0; i < n_pt; i++) + { + Eigen::Vector3d cl_d = col.col(i).cast (); + this->Colors.push_back(cl_d); + } + } + + if (cilantroPointCloud->hasNormals()) + { + for (int i = 0; i < n_pt; i++) + { + Eigen::Vector3d no_d = nor.col(i).cast (); + this->Normals.push_back(no_d); + } + } + } + std::shared_ptr DFPointCloud::Cvt2O3DPointCloud() { std::shared_ptr O3DPointCloud(new open3d::geometry::PointCloud()); @@ -34,6 +76,46 @@ namespace diffCheck::geometry return O3DPointCloud; } + std::shared_ptr DFPointCloud::Cvt2CilantroPointCloud() + { + std::shared_ptr cilantroPointCloud = std::make_shared(); + + cilantro::VectorSet3f points; + for (auto& pt : this->Points) + { + Eigen::Vector3f pt_f = pt.cast (); + points.conservativeResize(points.rows(), points.cols() + 1); + points.col(points.cols() - 1) = pt_f; + } + cilantroPointCloud->points = points; + + cilantro::VectorSet3f colors; + if (this->HasColors()) + { + for (auto& color : this->Colors) + { + Eigen::Vector3f color_f = color.cast (); + colors.conservativeResize(colors.rows(), colors.cols() + 1); + colors.col(colors.cols() - 1) = color_f; + } + } + cilantroPointCloud->colors = colors; + + cilantro::VectorSet3f normals; + if (this->HasNormals()) + { + for (auto& normal : this->Normals) + { + Eigen::Vector3f normal_f = normal.cast (); + normals.conservativeResize(normals.rows(), normals.cols() + 1); + normals.col(normals.cols() - 1) = normal_f; + } + } + cilantroPointCloud->normals = normals; + + return cilantroPointCloud; + } + std::vector DFPointCloud::ComputeP2PDistance(std::shared_ptr target) { std::vector errors; @@ -57,34 +139,49 @@ namespace diffCheck::geometry } void DFPointCloud::EstimateNormals( + bool useCilantroEvaluator, std::optional knn, std::optional searchRadius ) { - auto O3DPointCloud = this->Cvt2O3DPointCloud(); - O3DPointCloud->EstimateNormals(); - - if (knn.value() != 30 && searchRadius.has_value() == false) - { - open3d::geometry::KDTreeSearchParamKNN knnSearchParam(knn.value()); - O3DPointCloud->EstimateNormals(knnSearchParam); - DIFFCHECK_INFO(("Estimating normals with knn = " + std::to_string(knn.value())).c_str()); - } - else if (searchRadius.has_value()) + if (!useCilantroEvaluator) { - open3d::geometry::KDTreeSearchParamHybrid hybridSearchParam(searchRadius.value(), knn.value()); - O3DPointCloud->EstimateNormals(hybridSearchParam); - DIFFCHECK_INFO(("Estimating normals with hybrid search radius = " + std::to_string(searchRadius.value()) + "and knn = " + std::to_string(knn.value())).c_str()); + auto O3DPointCloud = this->Cvt2O3DPointCloud(); + + if (knn.value() != 30 && searchRadius.has_value() == false) + { + open3d::geometry::KDTreeSearchParamKNN knnSearchParam(knn.value()); + O3DPointCloud->EstimateNormals(knnSearchParam); + DIFFCHECK_INFO(("Estimating normals with knn = " + std::to_string(knn.value())).c_str()); + } + else if (searchRadius.has_value()) + { + open3d::geometry::KDTreeSearchParamHybrid hybridSearchParam(searchRadius.value(), knn.value()); + O3DPointCloud->EstimateNormals(hybridSearchParam); + DIFFCHECK_INFO(("Estimating normals with hybrid search radius = " + std::to_string(searchRadius.value()) + "and knn = " + std::to_string(knn.value())).c_str()); + } + else + { + O3DPointCloud->EstimateNormals(); + DIFFCHECK_INFO("Default estimation of normals with knn = 30"); + } + + this->Normals.clear(); + for (auto &normal : O3DPointCloud->normals_) + this->Normals.push_back(normal); } else { - O3DPointCloud->EstimateNormals(); - DIFFCHECK_INFO("Default estimation of normals with knn = 30"); + std::shared_ptr cilantroPointCloud = this->Cvt2CilantroPointCloud(); + cilantro::KNNNeighborhoodSpecification neighborhood(knn.value()); + cilantroPointCloud->estimateNormals(neighborhood, false); + + this->Normals.clear(); + for (int i = 0; i < cilantroPointCloud->normals.cols(); i++) + this->Normals.push_back(cilantroPointCloud->normals.col(i).cast()); + DIFFCHECK_INFO(("Estimating normals with cilantro evaluator with knn = " + std::to_string(knn.value())).c_str()); } - this->Normals.clear(); - for (auto &normal : O3DPointCloud->normals_) - this->Normals.push_back(normal); } void DFPointCloud::VoxelDownsample(double voxelSize) diff --git a/src/diffCheck/geometry/DFPointCloud.hh b/src/diffCheck/geometry/DFPointCloud.hh index 4bbe9953..e7727655 100644 --- a/src/diffCheck/geometry/DFPointCloud.hh +++ b/src/diffCheck/geometry/DFPointCloud.hh @@ -6,6 +6,8 @@ #include +#include +#include namespace diffCheck::geometry { @@ -29,7 +31,8 @@ namespace diffCheck::geometry * @param pointCloud the open3d point cloud */ void Cvt2DFPointCloud(const std::shared_ptr &O3DPointCloud); - + void Cvt2DFPointCloud(const std::shared_ptr &cilantroPointCloud); + /** * @brief Convert the DFPointCloud to open3d point cloud * @@ -37,6 +40,13 @@ namespace diffCheck::geometry */ std::shared_ptr Cvt2O3DPointCloud(); + /** + * @brief Convert DFPointCloud to cilantro point cloud + * + * @return std::shared_ptr the cilantro point cloud + */ + std::shared_ptr Cvt2CilantroPointCloud(); + public: ///< Utilities /** * @brief Compute the "point to point" distance between this and another point clouds. @@ -64,11 +74,14 @@ namespace diffCheck::geometry * is provided by hybrid search. * * Reference from Open3d. + * + * @param useCilantroEvaluator if true, the cilantro evaluator will be used, otherwise the open3d one * @param knn the number of nearest neighbors to consider (by default 30) - * @param searchRadius the radius of the search, by default deactivated + * @param searchRadius the radius of the search, by default deactivated (only if useCilantroEvaluator is false) */ void EstimateNormals( - std::optional knn = 30, + bool useCilantroEvaluator = false, + std::optional knn = 10, std::optional searchRadius = std::nullopt); public: ///< Downsamplers diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index 5632a002..4a859cae 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -7,54 +7,55 @@ namespace diffCheck::segmentation { std::vector> DFSegmentation::NormalBasedSegmentation( - geometry::DFPointCloud &pointCloud, - float voxelSize, + std::shared_ptr &pointCloud, float normalThresholdDegree, int minClusterSize, bool useKnnNeighborhood, int knnNeighborhoodSize, - int radiusNeighborhoodSize) + int radiusNeighborhoodSize, + bool colorClusters) { - std::vector> segments; - cilantro::PointCloud3f cilantroPointCloud; - - // Convert the point cloud to cilantro point cloud - for (int i = 0; i < pointCloud.Points.size(); i++) - { - cilantroPointCloud.points.conservativeResize(3, cilantroPointCloud.points.cols() + 1); - cilantroPointCloud.points.rightCols(1) = pointCloud.Points[i].cast(); - } + std::shared_ptr cilantroPointCloud = pointCloud->Cvt2CilantroPointCloud(); - // segment the point cloud using knn or radius neighborhood + std::vector> segments; if (useKnnNeighborhood) { cilantro::KNNNeighborhoodSpecification neighborhood(knnNeighborhoodSize); - // conpute the normals and downsample - cilantroPointCloud.estimateNormals(neighborhood, false); - cilantroPointCloud.gridDownsample(voxelSize); + cilantroPointCloud->estimateNormals(neighborhood); - // Similarity evaluator cilantro::NormalsProximityEvaluator similarityEvaluator( - cilantroPointCloud.normals, + cilantroPointCloud->normals, normalThresholdDegree*M_PI/180.0f); - // Segment the point cloud - cilantro::ConnectedComponentExtraction3f<> segmenter(cilantroPointCloud.points); + cilantro::ConnectedComponentExtraction3f<> segmenter(cilantroPointCloud->points); segmenter.segment(neighborhood, similarityEvaluator, minClusterSize); auto clusterToPointMap = segmenter.getClusterToPointIndicesMap(); int nSegments = segmenter.getNumberOfClusters(); - // Get the segments + // FIXME: painting color not working (see paint_uniform?) for (int indice = 0; indice segment = std::make_shared(); + + // random rgb color in format Eigen::Vector3d from 0 to 1 + Eigen::Vector3d color = Eigen::Vector3d::Random(); for (auto pointIndice : clusterToPointMap[indice]) { - Eigen::Vector3d point = cilantroPointCloud.points.col(pointIndice).cast(); - Eigen::Vector3d normal = cilantroPointCloud.normals.col(pointIndice).cast(); + Eigen::Vector3d point = cilantroPointCloud->points.col(pointIndice).cast(); + Eigen::Vector3d normal = cilantroPointCloud->normals.col(pointIndice).cast(); segment->Points.push_back(point); segment->Normals.push_back(normal); + if (colorClusters) + segment->Colors.push_back(color); + else + { + if (cilantroPointCloud->colors.cols() > 0) + { + Eigen::Vector3d color = cilantroPointCloud->colors.col(pointIndice).cast(); + segment->Colors.push_back(color); + } + } } segments.push_back(segment); } @@ -63,37 +64,43 @@ namespace diffCheck::segmentation { cilantro::RadiusNeighborhoodSpecification neighborhood(radiusNeighborhoodSize); - // conpute the normals and downsample - cilantroPointCloud.estimateNormals(neighborhood, false); - cilantroPointCloud.gridDownsample(voxelSize); - - // Similarity evaluator + cilantroPointCloud->estimateNormals(neighborhood); + cilantro::NormalsProximityEvaluator similarityEvaluator( - cilantroPointCloud.normals, + cilantroPointCloud->normals, normalThresholdDegree*M_PI/180.0f); - // Segment the point cloud - cilantro::ConnectedComponentExtraction3f<> segmenter(cilantroPointCloud.points); + cilantro::ConnectedComponentExtraction3f<> segmenter(cilantroPointCloud->points); segmenter.segment(neighborhood, similarityEvaluator, minClusterSize); auto clusterToPointMap = segmenter.getClusterToPointIndicesMap(); int nSegments = segmenter.getNumberOfClusters(); - // Get the segments + // FIXME: painting color not working (see paint_uniform?) for (int indice = 0; indice segment = std::make_shared(); + Eigen::Vector3d color = Eigen::Vector3d::Random(); for (auto pointIndice : clusterToPointMap[indice]) { - Eigen::Vector3d point = cilantroPointCloud.points.col(pointIndice).cast(); - Eigen::Vector3d normal = cilantroPointCloud.normals.col(pointIndice).cast(); + Eigen::Vector3d point = cilantroPointCloud->points.col(pointIndice).cast(); + Eigen::Vector3d normal = cilantroPointCloud->normals.col(pointIndice).cast(); segment->Points.push_back(point); segment->Normals.push_back(normal); + if (colorClusters) + segment->Colors.push_back(color); + else + { + if (cilantroPointCloud->colors.cols() > 0) + { + Eigen::Vector3d color = cilantroPointCloud->colors.col(pointIndice).cast(); + segment->Colors.push_back(color); + } + } } segments.push_back(segment); } } - return segments; } diff --git a/src/diffCheck/segmentation/DFSegmentation.hh b/src/diffCheck/segmentation/DFSegmentation.hh index ca0af783..cd7702fc 100644 --- a/src/diffCheck/segmentation/DFSegmentation.hh +++ b/src/diffCheck/segmentation/DFSegmentation.hh @@ -8,21 +8,21 @@ namespace diffCheck::segmentation public: /** @brief Downsamples and segments the point cloud using Cilantro's ConnectedComponentExtraction3f method. It uses the normals' variations to detect different parts in the point cloud. * @param pointCloud the point cloud to segment - * @param voxelSize the voxel size for the downsampling of the point cloud. The point cloud is downsampled after the normal calculation. A lower number will result in a denser point cloud * @param normalThresholdDegree the normal threshold in degrees do differentiate segments. The higher the number, the more tolerent the segmentation will be to normal differences * @param minClusterSize the minimum cluster size to consider a segment. A lower number will discard smaller segments * @param useKnnNeighborhood if true, the neighborhood search will be done using the knnNeighborhoodSize, otherwise it will be done using radiusNeighborhoodSize * @param knnNeighborhoodSize the k nearest neighbors size for the "neighborhood search". This is used when useKnnNeighborhood is true. a higher number will result in smoother segmentation, but at the cost of computation time * @param radiusNeighborhoodSize the radius of the neighborhood size for the "radius search". This is used when useKnnNeighborhood is false. A higher number will result in smoother segmentation, but at the cost of computation time. + * @param colorClusters if true, the clusters will be colored with random colors * @return std::vector> the segmented point clouds */ static std::vector> NormalBasedSegmentation( - geometry::DFPointCloud &pointCloud, - float voxelSize = 0.2, + std::shared_ptr &pointCloud, float normalThresholdDegree = 20, int minClusterSize = 10, bool useKnnNeighborhood = true, int knnNeighborhoodSize = 10, - int radiusNeighborhoodSize = 10); + int radiusNeighborhoodSize = 10, + bool colorClusters = false); }; } // namespace diffCheck::segmentation \ No newline at end of file diff --git a/src/diffCheck/visualizer.cc b/src/diffCheck/visualizer.cc index c979b782..3f750a6b 100644 --- a/src/diffCheck/visualizer.cc +++ b/src/diffCheck/visualizer.cc @@ -1,5 +1,6 @@ #include "visualizer.hh" +#include namespace diffCheck::visualizer { @@ -17,13 +18,16 @@ namespace diffCheck::visualizer void Visualizer::Run() { - open3d::visualization::DrawGeometries( - this->m_Geometries, - this->Title, - this->Width, - this->Height, - this->PosX, this->PosY, - this->ShowNormals, - this->ShowWireframe); + auto vis = open3d::visualization::Visualizer(); + vis.CreateVisualizerWindow(this->Title, this->Width, this->Height, this->PosX, this->PosY); + for (auto geometry : this->m_Geometries) + { + vis.AddGeometry(geometry); + } + vis.GetRenderOption().point_color_option_ = open3d::visualization::RenderOption::PointColorOption::Color; + if (this->ShowNormals) + vis.GetRenderOption().TogglePointShowNormal(); + vis.Run(); + vis.DestroyVisualizerWindow(); } } // namespace diffCheck::visualizer \ No newline at end of file diff --git a/src/diffCheck/visualizer.hh b/src/diffCheck/visualizer.hh index ec0743b2..7e6d4beb 100644 --- a/src/diffCheck/visualizer.hh +++ b/src/diffCheck/visualizer.hh @@ -21,7 +21,7 @@ namespace diffCheck::visualizer int height = 800, int posX = 50, int posY = 50, - bool showNormals = false, + bool showNormals = true, bool showWireframe = true ) : Title(title), Width(width), Height(height), PosX(posX), PosY(posY), diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 8bd871fc..590b41f6 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -3,23 +3,38 @@ #include #include +#include +#include + int main() { std::shared_ptr pcdSrc = std::make_shared(); - std::shared_ptr meshSrc = std::make_shared(); std::vector> segments; - std::string pathMeshSrc = R"(C:\Users\localuser\Downloads\02_mesh.ply)"; - std::string pathPcdSrc = R"(C:\Users\localuser\Downloads\02_points_with_errors_1e6_pts.ply)"; + std::string pathPcdSrc = R"(C:\Users\andre\Downloads\moved_04.ply)"; pcdSrc->LoadFromPLY(pathPcdSrc); - meshSrc->LoadFromPLY(pathMeshSrc); - segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation(*pcdSrc, 0.01, 1, 30, true, 50, 30); + segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation( + pcdSrc, + 10.f, + 10, + true, + 50, + 30, + true); std::cout << "number of segments:" << segments.size()<< std::endl; + // print the last 5 colors + for (auto segment : segments) + { + for (int i = 0; i < 5; i++) + { + std::cout << segment->Colors[i].transpose() << std::endl; + } + } diffCheck::visualizer::Visualizer vis; - vis.AddMesh(meshSrc); + // vis.AddPointCloud(pcdSrc); for (auto segment : segments) { // colorize the segments with random colors @@ -31,7 +46,6 @@ int main() segment->Colors.push_back(Eigen::Vector3d(r, g, b)); } vis.AddPointCloud(segment); - } vis.Run(); return 0; diff --git a/src/diffCheckBindings.cc b/src/diffCheckBindings.cc index 06265687..b8b87263 100644 --- a/src/diffCheckBindings.cc +++ b/src/diffCheckBindings.cc @@ -165,10 +165,10 @@ PYBIND11_MODULE(diffcheck_bindings, m) { py::class_(submodule_segmentation, "DFSegmentation") .def_static("smooth_segmentation", &diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation, py::arg("point_cloud"), - py::arg("voxel_size") = 1, py::arg("normal_threshold_degree") = 20, py::arg("min_cluster_size") = 10, py::arg("use_knn_neighborhood") = false, py::arg("knn_neighborhood_size") = 10, - py::arg("radius_neighborhood_size") = 10); + py::arg("radius_neighborhood_size") = 10, + py::arg("color_clusters") = false); } \ No newline at end of file From 08b09db5617dbab25dbee7c82e1b42a565f2009d Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sun, 30 Jun 2024 11:29:40 +0200 Subject: [PATCH 23/35] WIP: adding coloring for cloud and clustering --- src/diffCheck/geometry/DFPointCloud.cc | 12 ++++++++ src/diffCheck/geometry/DFPointCloud.hh | 8 +++++ src/diffCheck/segmentation/DFSegmentation.cc | 32 +++++--------------- src/diffCheckApp.cc | 29 ++++++------------ 4 files changed, 36 insertions(+), 45 deletions(-) diff --git a/src/diffCheck/geometry/DFPointCloud.cc b/src/diffCheck/geometry/DFPointCloud.cc index 995adb11..f10a0591 100644 --- a/src/diffCheck/geometry/DFPointCloud.cc +++ b/src/diffCheck/geometry/DFPointCloud.cc @@ -201,6 +201,18 @@ namespace diffCheck::geometry this->Normals.push_back(normal); } + void DFPointCloud::ApplyColor(const Eigen::Vector3d &color) + { + this->Colors.clear(); + for (auto &point : this->Points) + this->Colors.push_back(color); + } + void DFPointCloud::ApplyColor(int r, int g, int b) + { + Eigen::Vector3d color = Eigen::Vector3d(r / 255.0, g / 255.0, b / 255.0); + this->ApplyColor(color); + } + void DFPointCloud::UniformDownsample(int everyKPoints) { auto O3DPointCloud = this->Cvt2O3DPointCloud(); diff --git a/src/diffCheck/geometry/DFPointCloud.hh b/src/diffCheck/geometry/DFPointCloud.hh index e7727655..a9fe8a6d 100644 --- a/src/diffCheck/geometry/DFPointCloud.hh +++ b/src/diffCheck/geometry/DFPointCloud.hh @@ -84,6 +84,14 @@ namespace diffCheck::geometry std::optional knn = 10, std::optional searchRadius = std::nullopt); + /** + * @brief Paint the point cloud with a uniform color + * + * @param color the color to paint the point cloud + */ + void ApplyColor(const Eigen::Vector3d &color); + void ApplyColor(int r, int g, int b); + public: ///< Downsamplers /** * @brief Downsample the point cloud with voxel grid diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index 4a859cae..d9d4c665 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -22,6 +22,7 @@ namespace diffCheck::segmentation { cilantro::KNNNeighborhoodSpecification neighborhood(knnNeighborhoodSize); + // FIXME: not clear why this is needed all the time cilantroPointCloud->estimateNormals(neighborhood); cilantro::NormalsProximityEvaluator similarityEvaluator( @@ -33,30 +34,23 @@ namespace diffCheck::segmentation auto clusterToPointMap = segmenter.getClusterToPointIndicesMap(); int nSegments = segmenter.getNumberOfClusters(); - // FIXME: painting color not working (see paint_uniform?) for (int indice = 0; indice segment = std::make_shared(); - - // random rgb color in format Eigen::Vector3d from 0 to 1 - Eigen::Vector3d color = Eigen::Vector3d::Random(); for (auto pointIndice : clusterToPointMap[indice]) { Eigen::Vector3d point = cilantroPointCloud->points.col(pointIndice).cast(); Eigen::Vector3d normal = cilantroPointCloud->normals.col(pointIndice).cast(); segment->Points.push_back(point); segment->Normals.push_back(normal); - if (colorClusters) - segment->Colors.push_back(color); - else + if (cilantroPointCloud->hasColors()) { - if (cilantroPointCloud->colors.cols() > 0) - { - Eigen::Vector3d color = cilantroPointCloud->colors.col(pointIndice).cast(); - segment->Colors.push_back(color); - } + Eigen::Vector3d color = cilantroPointCloud->colors.col(pointIndice).cast(); + segment->Colors.push_back(color); } } + if (colorClusters) + segment->ApplyColor(Eigen::Vector3d::Random()); segments.push_back(segment); } } @@ -64,7 +58,7 @@ namespace diffCheck::segmentation { cilantro::RadiusNeighborhoodSpecification neighborhood(radiusNeighborhoodSize); - cilantroPointCloud->estimateNormals(neighborhood); + // cilantroPointCloud->estimateNormals(neighborhood); cilantro::NormalsProximityEvaluator similarityEvaluator( cilantroPointCloud->normals, @@ -76,27 +70,15 @@ namespace diffCheck::segmentation auto clusterToPointMap = segmenter.getClusterToPointIndicesMap(); int nSegments = segmenter.getNumberOfClusters(); - // FIXME: painting color not working (see paint_uniform?) for (int indice = 0; indice segment = std::make_shared(); - Eigen::Vector3d color = Eigen::Vector3d::Random(); for (auto pointIndice : clusterToPointMap[indice]) { Eigen::Vector3d point = cilantroPointCloud->points.col(pointIndice).cast(); Eigen::Vector3d normal = cilantroPointCloud->normals.col(pointIndice).cast(); segment->Points.push_back(point); segment->Normals.push_back(normal); - if (colorClusters) - segment->Colors.push_back(color); - else - { - if (cilantroPointCloud->colors.cols() > 0) - { - Eigen::Vector3d color = cilantroPointCloud->colors.col(pointIndice).cast(); - segment->Colors.push_back(color); - } - } } segments.push_back(segment); } diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 590b41f6..2f24b3e1 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -15,38 +15,27 @@ int main() pcdSrc->LoadFromPLY(pathPcdSrc); + // pcdSrc->EstimateNormals(false, 50); + + // pcdSrc->ApplyColor(255, 0 , 0); + + segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation( pcdSrc, - 10.f, + 20.f, 10, true, 50, 30, true); std::cout << "number of segments:" << segments.size()<< std::endl; - // print the last 5 colors - for (auto segment : segments) - { - for (int i = 0; i < 5; i++) - { - std::cout << segment->Colors[i].transpose() << std::endl; - } - } diffCheck::visualizer::Visualizer vis; - // vis.AddPointCloud(pcdSrc); + for (auto segment : segments) - { - // colorize the segments with random colors - double r = static_cast(rand()) / RAND_MAX; - double g = static_cast(rand()) / RAND_MAX; - double b = static_cast(rand()) / RAND_MAX; - for (int i = 0; i < segment->Points.size(); i++) - { - segment->Colors.push_back(Eigen::Vector3d(r, g, b)); - } vis.AddPointCloud(segment); - } + + // vis.AddPointCloud(pcdSrc); vis.Run(); return 0; } \ No newline at end of file From 3eb0fc5b73723bad0542b1e4f11e1751c1057425 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sun, 30 Jun 2024 18:12:52 +0200 Subject: [PATCH 24/35] CAP: refactored backend for segmeentations and normal estimations --- src/diffCheck/geometry/DFPointCloud.cc | 3 +-- src/diffCheck/geometry/DFPointCloud.hh | 2 +- src/diffCheck/segmentation/DFSegmentation.cc | 18 +++++++++++++----- src/diffCheck/visualizer.cc | 5 ++++- src/diffCheck/visualizer.hh | 8 ++++++-- src/diffCheckApp.cc | 17 +++++++---------- 6 files changed, 32 insertions(+), 21 deletions(-) diff --git a/src/diffCheck/geometry/DFPointCloud.cc b/src/diffCheck/geometry/DFPointCloud.cc index f10a0591..840188b3 100644 --- a/src/diffCheck/geometry/DFPointCloud.cc +++ b/src/diffCheck/geometry/DFPointCloud.cc @@ -146,6 +146,7 @@ namespace diffCheck::geometry { if (!useCilantroEvaluator) { + this->Normals.clear(); auto O3DPointCloud = this->Cvt2O3DPointCloud(); if (knn.value() != 30 && searchRadius.has_value() == false) @@ -165,8 +166,6 @@ namespace diffCheck::geometry O3DPointCloud->EstimateNormals(); DIFFCHECK_INFO("Default estimation of normals with knn = 30"); } - - this->Normals.clear(); for (auto &normal : O3DPointCloud->normals_) this->Normals.push_back(normal); } diff --git a/src/diffCheck/geometry/DFPointCloud.hh b/src/diffCheck/geometry/DFPointCloud.hh index a9fe8a6d..9fd53f8a 100644 --- a/src/diffCheck/geometry/DFPointCloud.hh +++ b/src/diffCheck/geometry/DFPointCloud.hh @@ -81,7 +81,7 @@ namespace diffCheck::geometry */ void EstimateNormals( bool useCilantroEvaluator = false, - std::optional knn = 10, + std::optional knn = 50, std::optional searchRadius = std::nullopt); /** diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index d9d4c665..4e26e2da 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -15,6 +15,12 @@ namespace diffCheck::segmentation int radiusNeighborhoodSize, bool colorClusters) { + if (!pointCloud->HasNormals()) + { + DIFFCHECK_WARN("The point cloud does not have normals. Estimating normals with 50 neighbors."); + pointCloud->EstimateNormals(true, 50); + } + std::shared_ptr cilantroPointCloud = pointCloud->Cvt2CilantroPointCloud(); std::vector> segments; @@ -22,9 +28,6 @@ namespace diffCheck::segmentation { cilantro::KNNNeighborhoodSpecification neighborhood(knnNeighborhoodSize); - // FIXME: not clear why this is needed all the time - cilantroPointCloud->estimateNormals(neighborhood); - cilantro::NormalsProximityEvaluator similarityEvaluator( cilantroPointCloud->normals, normalThresholdDegree*M_PI/180.0f); @@ -58,8 +61,6 @@ namespace diffCheck::segmentation { cilantro::RadiusNeighborhoodSpecification neighborhood(radiusNeighborhoodSize); - // cilantroPointCloud->estimateNormals(neighborhood); - cilantro::NormalsProximityEvaluator similarityEvaluator( cilantroPointCloud->normals, normalThresholdDegree*M_PI/180.0f); @@ -79,7 +80,14 @@ namespace diffCheck::segmentation Eigen::Vector3d normal = cilantroPointCloud->normals.col(pointIndice).cast(); segment->Points.push_back(point); segment->Normals.push_back(normal); + if (cilantroPointCloud->hasColors()) + { + Eigen::Vector3d color = cilantroPointCloud->colors.col(pointIndice).cast(); + segment->Colors.push_back(color); + } } + if (colorClusters) + segment->ApplyColor(Eigen::Vector3d::Random()); segments.push_back(segment); } } diff --git a/src/diffCheck/visualizer.cc b/src/diffCheck/visualizer.cc index 3f750a6b..4e61b799 100644 --- a/src/diffCheck/visualizer.cc +++ b/src/diffCheck/visualizer.cc @@ -24,7 +24,10 @@ namespace diffCheck::visualizer { vis.AddGeometry(geometry); } - vis.GetRenderOption().point_color_option_ = open3d::visualization::RenderOption::PointColorOption::Color; + if (this->RenderPcdColorNormals) + vis.GetRenderOption().point_color_option_ = open3d::visualization::RenderOption::PointColorOption::Normal; + else + vis.GetRenderOption().point_color_option_ = open3d::visualization::RenderOption::PointColorOption::Color; if (this->ShowNormals) vis.GetRenderOption().TogglePointShowNormal(); vis.Run(); diff --git a/src/diffCheck/visualizer.hh b/src/diffCheck/visualizer.hh index 7e6d4beb..97f7cd07 100644 --- a/src/diffCheck/visualizer.hh +++ b/src/diffCheck/visualizer.hh @@ -22,10 +22,12 @@ namespace diffCheck::visualizer int posX = 50, int posY = 50, bool showNormals = true, - bool showWireframe = true + bool showWireframe = true, + bool renderPcdColorNormals = false ) : Title(title), Width(width), Height(height), PosX(posX), PosY(posY), - ShowNormals(showNormals), ShowWireframe(showWireframe) + ShowNormals(showNormals), ShowWireframe(showWireframe), + RenderPcdColorNormals(renderPcdColorNormals) {} ~Visualizer() = default; @@ -62,6 +64,8 @@ namespace diffCheck::visualizer bool ShowNormals; /// @brief weither to show the wireframe bool ShowWireframe; + /// @brief weither to render the point cloud color normals + bool RenderPcdColorNormals; private: /// @brief the geometries to visualize diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 2f24b3e1..f4d85ccd 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -1,4 +1,5 @@ #include "diffCheck.hh" +#include "diffCheck/log.hh" #include #include @@ -15,27 +16,23 @@ int main() pcdSrc->LoadFromPLY(pathPcdSrc); - // pcdSrc->EstimateNormals(false, 50); - - // pcdSrc->ApplyColor(255, 0 , 0); - - + pcdSrc->EstimateNormals(100); segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation( pcdSrc, 20.f, 10, true, 50, - 30, + 10, true); std::cout << "number of segments:" << segments.size()<< std::endl; - diffCheck::visualizer::Visualizer vis; + std::shared_ptr vis = std::make_shared(); + vis->RenderPcdColorNormals = false; for (auto segment : segments) - vis.AddPointCloud(segment); + vis->AddPointCloud(segment); - // vis.AddPointCloud(pcdSrc); - vis.Run(); + vis->Run(); return 0; } \ No newline at end of file From c9277c7e78393e0b1d874876f939b479d66d0588 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Sun, 30 Jun 2024 18:21:58 +0200 Subject: [PATCH 25/35] WIP: segmentation now using triangle faces + small fixes --- src/diffCheck/segmentation/DFSegmentation.cc | 115 ++++++++++++------- src/diffCheck/segmentation/DFSegmentation.hh | 1 + src/diffCheckApp.cc | 68 ++++++++--- 3 files changed, 123 insertions(+), 61 deletions(-) diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index c4a41601..8cfac43b 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -16,13 +16,27 @@ namespace diffCheck::segmentation int radiusNeighborhoodSize) { std::vector> segments; + open3d::geometry::PointCloud o3dPointCloud; cilantro::PointCloud3f cilantroPointCloud; - + + // Convert the point cloud to open3d point cloud + for (int i = 0; i < pointCloud.Points.size(); i++) + { + o3dPointCloud.points_.push_back(pointCloud.Points[i]); + } + + // estimate normals + o3dPointCloud.EstimateNormals(open3d::geometry::KDTreeSearchParamHybrid(50 * voxelSize, 80)); + o3dPointCloud.NormalizeNormals(); + std::shared_ptr voxelizedO3DPointCloud = o3dPointCloud.VoxelDownSample(voxelSize); + // Convert the point cloud to cilantro point cloud - for (int i = 0; i < pointCloud.Points.size(); i++) + for (int i = 0; i < voxelizedO3DPointCloud->points_.size(); i++) { cilantroPointCloud.points.conservativeResize(3, cilantroPointCloud.points.cols() + 1); - cilantroPointCloud.points.rightCols(1) = pointCloud.Points[i].cast(); + cilantroPointCloud.points.rightCols(1) = voxelizedO3DPointCloud->points_[i].cast(); + cilantroPointCloud.normals.conservativeResize(3, cilantroPointCloud.normals.cols() + 1); + cilantroPointCloud.normals.rightCols(1) = voxelizedO3DPointCloud->normals_[i].cast(); } // segment the point cloud using knn or radius neighborhood @@ -30,10 +44,6 @@ namespace diffCheck::segmentation { cilantro::KNNNeighborhoodSpecification neighborhood(knnNeighborhoodSize); - // conpute the normals and downsample - cilantroPointCloud.estimateNormals(neighborhood, false); - cilantroPointCloud.gridDownsample(voxelSize); - // Similarity evaluator cilantro::NormalsProximityEvaluator similarityEvaluator( cilantroPointCloud.normals, @@ -62,10 +72,6 @@ namespace diffCheck::segmentation else { cilantro::RadiusNeighborhoodSpecification neighborhood(radiusNeighborhoodSize); - - // conpute the normals and downsample - cilantroPointCloud.estimateNormals(neighborhood, false); - cilantroPointCloud.gridDownsample(voxelSize); // Similarity evaluator cilantro::NormalsProximityEvaluator similarityEvaluator( @@ -107,19 +113,19 @@ namespace diffCheck::segmentation std::vector> segmentsRemainder; // iterate through the mesh faces given as function argument - for (auto face : meshFaces) + for (std::shared_ptr face : meshFaces) { std::shared_ptr correspondingSegment; - + std::shared_ptr o3dFace; + o3dFace = face->Cvt2O3DTriangleMesh(); + // Getting the center of the mesh face - Eigen::Vector3d faceCenter = Eigen::Vector3d::Zero(); - for (auto vertex : face->Vertices){faceCenter += vertex;} - faceCenter /= face->GetNumVertices(); + Eigen::Vector3d faceCenter; + open3d::geometry::OrientedBoundingBox orientedBoundingBox = o3dFace->GetMinimalOrientedBoundingBox(); + faceCenter = orientedBoundingBox.GetCenter(); if (face->NormalsFace.size() == 0) { - std::cout << "face has no normals, computing normals" << std::endl; - std::shared_ptr o3dFace = face->Cvt2O3DTriangleMesh(); o3dFace->ComputeTriangleNormals(); face->NormalsFace.clear(); for (auto normal : o3dFace->triangle_normals_) @@ -127,15 +133,14 @@ namespace diffCheck::segmentation face->NormalsFace.push_back(normal.cast()); } } - + // Getting the normal of the mesh face Eigen::Vector3d faceNormal = face->NormalsFace[0]; // iterate through the segments to find the closest ones compared to the face center taking the normals into account - Eigen::Vector3d segmentCenter = Eigen::Vector3d::Zero(); - Eigen::Vector3d segmentNormal = Eigen::Vector3d::Zero(); - double faceDistance = (segments[0]->Points[0] - faceCenter).norm() / std::pow(std::abs(segments[0]->Normals[0].dot(faceNormal)), 2); - int segmentIndex = 0; + Eigen::Vector3d segmentCenter; + Eigen::Vector3d segmentNormal; + double faceDistance = std::numeric_limits::max(); for (auto segment : segments) { for (auto point : segment->Points) @@ -144,40 +149,66 @@ namespace diffCheck::segmentation } segmentCenter /= segment->GetNumPoints(); - if (segment->Normals.size() == 0) - { - std::shared_ptr o3dSegment = segment->Cvt2O3DPointCloud(); - o3dSegment->EstimateNormals(); - segment->Normals.clear(); - for (auto normal : o3dSegment->normals_) - { - segment->Normals.push_back(normal.cast()); - } - } for (auto normal : segment->Normals) { segmentNormal += normal; } segmentNormal.normalize(); - double currentDistance = (faceCenter - segmentCenter).norm() / std::pow(std::abs(segmentNormal.dot(faceNormal)), 2); + double currentDistance = (faceCenter - segmentCenter).norm() / std::abs(segmentNormal.dot(faceNormal)); // if the distance is smaller than the previous one, update the distance and the corresponding segment if (currentDistance < faceDistance) { correspondingSegment = segment; - // storing previous segment in the remainder vector faceDistance = currentDistance; } - segmentIndex++; } - // remove the segment fron the segments vector - segments.erase(std::remove(segments.begin(), segments.end(), correspondingSegment), segments.end()); - // Add the closest points of the corresponding segment to the unified point cloud - for (auto point : correspondingSegment->Points) + // get the triangles of the face. This is to check if the point is in the face + std::vector faceTriangles = o3dFace->triangles_; + + for (Eigen::Vector3d point : correspondingSegment->Points) { - unifiedPointCloud->Points.push_back(point); - correspondingSegment->Points.erase(std::remove(correspondingSegment->Points.begin(), correspondingSegment->Points.end(), point), correspondingSegment->Points.end()); + bool pointInFace = false; + /* + To check if the point is in the face, we take into account all the triangles forming the face. + We calculate the area of each triangle, then check if the sum of the areas of the tree triangles + formed by two of the points of the referencr triangle and our point is equal to the reference triangle area + (within a user-defined margin). If it is the case, the triangle is in the face. + */ + for (Eigen::Vector3i triangle : faceTriangles) + { + // reference triangle + Eigen::Vector3d v0 = o3dFace->vertices_[triangle[0]].cast(); + Eigen::Vector3d v1 = o3dFace->vertices_[triangle[1]].cast(); + Eigen::Vector3d v2 = o3dFace->vertices_[triangle[2]].cast(); + Eigen::Vector3d n = (v1 - v0).cross(v2 - v0); + double referenceTriangleArea = n.norm()/2.0; + + // triangle 1 + Eigen::Vector3d n1 = (v1 - v0).cross(point - v0); + double area1 = n1.norm()/2.0; + + // triangle 2 + Eigen::Vector3d n2 = (v2 - v1).cross(point - v1); + double area2 = n2.norm()/2.0; + + // triangle 3 + Eigen::Vector3d n3 = (v0 - v2).cross(point - v2); + double area3 = n3.norm()/2.0; + + if (std::abs((referenceTriangleArea - (area1 + area2 + area3)) / referenceTriangleArea) < associationThreshold) + { + pointInFace = true; + break; + } + } + if (pointInFace) + { + unifiedPointCloud->Points.push_back(point); + correspondingSegment->Points.erase(std::remove(correspondingSegment->Points.begin(), correspondingSegment->Points.end(), point), correspondingSegment->Points.end()); + } + // correspondingSegment->Points.erase(std::remove(correspondingSegment->Points.begin(), correspondingSegment->Points.end(), point), correspondingSegment->Points.end()); } } return std::make_tuple(unifiedPointCloud, segments); diff --git a/src/diffCheck/segmentation/DFSegmentation.hh b/src/diffCheck/segmentation/DFSegmentation.hh index 4bea4eda..2b72c27e 100644 --- a/src/diffCheck/segmentation/DFSegmentation.hh +++ b/src/diffCheck/segmentation/DFSegmentation.hh @@ -29,6 +29,7 @@ namespace diffCheck::segmentation * @brief From a vector of mesh faces, finds in a vector of cloud segments the corresponding segments as a unified point cloud * @param meshFaces the mesh faces to compare * @param segments the segments to compare + * @param associationThreshold the threshold to consider a segment as a match. A lower number will result in less points being associated to those mesh faces * @return std::tuple, std::vector> > the unified point cloud and the corresponding segments as a tuple */ static std::tuple, std::vector>> AssociateSegments( diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 455477fb..82fac786 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -3,17 +3,21 @@ #include #include +// checking computation time +#include int main() { + auto initTime = std::chrono::high_resolution_clock::now(); + std::shared_ptr pcdSrc = std::make_shared(); std::vector> meshSrc = std::vector>(); std::vector> segments; std::vector meshPaths; - std::string meshesFolderPath = R"(C:\Users\localuser\Desktop\other_meshes_for_diffCheck\)"; + std::string meshesFolderPath = R"(C:\Users\localuser\Desktop\again_other_meshes_for_diffCheck\)"; - for (int i = 1; i <= 14; i++) + for (int i = 1; i <= 4; i++) { std::string meshPath = meshesFolderPath + std::to_string(i) + ".ply"; std::shared_ptr mesh = std::make_shared(); @@ -21,40 +25,66 @@ int main() meshSrc.push_back(mesh); } - std::string pathPcdSrc = R"(C:\Users\localuser\Downloads\02_points_with_errors_1e6_pts.ply)"; + std::string pathPcdSrc = R"(C:\Users\localuser\Desktop\cleaned_AC_pc_90deg.ply)"; pcdSrc->LoadFromPLY(pathPcdSrc); - segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation(*pcdSrc, 5, 1, 20, true, 50, 200); + segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation(*pcdSrc, 0.01, 4, 20, true, 50, 2); std::cout << "number of segments:" << segments.size()<< std::endl; std::tuple, std::vector>> unifiedSegments = - diffCheck::segmentation::DFSegmentation::AssociateSegments(meshSrc, segments, 50); - + diffCheck::segmentation::DFSegmentation::AssociateSegments(meshSrc, segments, 0.1); diffCheck::visualizer::Visualizer vis; - for (int i = 0; i < 1; i++) + for (auto segment : std::get<1>(unifiedSegments)) { // colorize the segments with random colors double r = static_cast(rand()) / RAND_MAX; double g = static_cast(rand()) / RAND_MAX; - double b = static_cast(rand()) / RAND_MAX; - for (int i = 0; i < std::get<0>(unifiedSegments)->Points.size(); i++) - { - std::get<0>(unifiedSegments)->Colors.push_back(Eigen::Vector3d(r, g, b)); - } - vis.AddPointCloud(std::get<0>(unifiedSegments)); + double b = static_cast(rand()) / RAND_MAX; - for (auto segemt : std::get<1>(unifiedSegments)) + for (int i = 0; i < segment->Points.size(); i++) { - for (int i = 0; i < segemt->Points.size(); i++) - { - segemt->Colors.push_back(Eigen::Vector3d(0, 0, 1)); - } - vis.AddPointCloud(segemt); + segment->Colors.push_back(Eigen::Vector3d(r, g, b)); } + vis.AddPointCloud(segment); + + // // colorize the segments with random colors + // double r = static_cast(rand()) / RAND_MAX; + // double g = static_cast(rand()) / RAND_MAX; + // double b = static_cast(rand()) / RAND_MAX; + // for (int i = 0; i < std::get<0>(unifiedSegments)->Points.size(); i++) + // { + // std::get<0>(unifiedSegments)->Colors.push_back(Eigen::Vector3d(r, g, b)); + // } + // vis.AddPointCloud(std::get<0>(unifiedSegments)); + + // for (auto segemt : std::get<1>(unifiedSegments)) + // { + // for (int i = 0; i < segemt->Points.size(); i++) + // { + // segemt->Colors.push_back(Eigen::Vector3d(0, 0, 1)); + // } + // vis.AddPointCloud(segemt); + // } + + } + for(auto mesh : meshSrc) + { + vis.AddMesh(mesh); + } + auto unified = std::get<0>(unifiedSegments); + for (int i = 0; i < unified->Points.size(); i++) + { + unified->Colors.push_back(Eigen::Vector3d(0, 0, 0)); } + vis.AddPointCloud(unified); + + auto endTime = std::chrono::high_resolution_clock::now(); + auto duration = std::chrono::duration_cast(endTime - initTime); + std::cout << "Computation time:" << duration.count() << std::endl; + vis.Run(); return 0; } \ No newline at end of file From 2010cb02f786810640811e6f47e49b67018d342e Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Sun, 30 Jun 2024 18:22:25 +0200 Subject: [PATCH 26/35] ADD: egg link to gitignore --- .gitignore | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 3ac3980a..4cb2f278 100644 --- a/.gitignore +++ b/.gitignore @@ -243,4 +243,7 @@ cython_debug/ # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. -#.idea/ \ No newline at end of file +#.idea/ + +# egg-info +*.egg-info/ \ No newline at end of file From 73888c92755e8e2cc1f8efdc47c9f3e5d2f2cef7 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Mon, 1 Jul 2024 00:06:25 +0200 Subject: [PATCH 27/35] ADD-MILESTONE: wraps for normal estimation + segmentation --- .vscode/settings.json | 3 +- ScreenCamera_2024-06-30-00-00-53.json | 41 + ScreenCamera_2024-06-30-11-58-46.json | 41 + ScreenCapture_2024-06-30-00-00-53.png | Bin 0 -> 89508 bytes ScreenCapture_2024-06-30-11-58-46.png | Bin 0 -> 41410 bytes assets/icon_pool/{iconizer => }/icon.xcf | Bin assets/icon_pool/{iconizer => }/icon_base.png | Bin assets/icon_pool/{iconizer => }/icon_blu.png | Bin .../{iconizer => }/icon_downsample_size.png | Bin .../icon_downsample_uniform.png | Bin .../{iconizer => }/icon_downsample_voxel.png | Bin .../icon_pool/{iconizer => 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deps/eigen | 2 +- deps/pybind11 | 2 +- src/diffCheck/geometry/DFPointCloud.hh | 2 +- src/diffCheck/segmentation/DFSegmentation.cc | 2 +- src/diffCheck/segmentation/DFSegmentation.hh | 4 +- src/diffCheckApp.cc | 4 +- src/diffCheckBindings.cc | 16 +- .../DF_cloud_normal_estimator/code.py | 52 + .../DF_cloud_normal_estimator/icon.png | Bin 0 -> 9131 bytes .../DF_cloud_normal_estimator/metadata.json | 76 + .../components/DF_normal_segmentator/code.py | 74 + .../components/DF_normal_segmentator/icon.png | Bin 0 -> 10267 bytes .../DF_normal_segmentator/metadata.json | 100 + .../components/DF_scan_segmentation/code.py | 18 - .../DF_scan_segmentation/metadata.json | 52 - .../diffCheck/diffCheck.egg-info/SOURCES.txt | 1 - src/gh/diffCheck/diffCheck/df_cvt_bindings.py | 9 +- src/gh/examples/assembly_beam_system.ghx | 1629 ++++++++++++++++- src/gh/examples/normal_estimation.ghx | 790 ++++++++ 52 files changed, 2802 insertions(+), 116 deletions(-) create mode 100644 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(100%) rename assets/{icons => icon_pool}/icon_large_deconstructbeam.png (100%) rename assets/icon_pool/{iconizer => }/icon_ransactreg.png (100%) rename assets/{icons => icon_pool}/icon_small_buildassembly.png (100%) rename assets/{icons => icon_pool}/icon_small_buildassembly.xcf (100%) rename assets/{icons => icon_pool}/icon_small_deconstructassembly.png (100%) rename assets/{icons => icon_pool}/icon_small_deconstructbeam.png (100%) rename assets/{icons => icon_pool}/icon_small_xmlexport.png (100%) rename assets/icon_pool/{iconizer => }/icon_uniform_downsample.png (100%) rename assets/{icons => icon_pool}/logo_pixelized_bwvioelt.png (100%) create mode 100644 assets/icon_pool/normal.png create mode 100644 assets/icon_pool/normal_cloud.png create mode 100644 assets/icon_pool/normal_cloud.xcf create mode 100644 assets/icon_pool/normal_segment.png create mode 100644 assets/icon_pool/normal_segmenter.png create mode 100644 assets/icon_pool/normal_segmenter.xcf rename src/gh/components/DF_scan_segmentation/icon.png => assets/icon_pool/scan_segmentation.png (100%) create mode 100644 src/gh/components/DF_cloud_normal_estimator/code.py create mode 100644 src/gh/components/DF_cloud_normal_estimator/icon.png create mode 100644 src/gh/components/DF_cloud_normal_estimator/metadata.json create mode 100644 src/gh/components/DF_normal_segmentator/code.py create mode 100644 src/gh/components/DF_normal_segmentator/icon.png create mode 100644 src/gh/components/DF_normal_segmentator/metadata.json delete mode 100644 src/gh/components/DF_scan_segmentation/code.py delete mode 100644 src/gh/components/DF_scan_segmentation/metadata.json create mode 100644 src/gh/examples/normal_estimation.ghx diff --git a/.vscode/settings.json b/.vscode/settings.json index 66ad6a97..257ac4dd 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -104,6 +104,7 @@ "cwctype": "cpp", "memory_resource": "cpp", "scoped_allocator": "cpp", - "strstream": "cpp" + "strstream": "cpp", + "core": "cpp" } } \ No newline at end of file diff --git a/ScreenCamera_2024-06-30-00-00-53.json b/ScreenCamera_2024-06-30-00-00-53.json new file mode 100644 index 00000000..8f1e3eb1 --- /dev/null +++ b/ScreenCamera_2024-06-30-00-00-53.json @@ -0,0 +1,41 @@ +{ + "class_name" : "PinholeCameraParameters", + "extrinsic" : + [ + 0.78518600604290978, + -0.4688467948733368, + 0.4045560762754441, + 0.0, + -0.61432912235314374, + -0.67201447960085037, + 0.41351695084435719, + 0.0, + 0.077991444038432445, + -0.57321830234544802, + -0.81568260525341763, + 0.0, + 1416.8243739322577, + 908.62300697364822, + 1063.1264987715035, + 1.0 + ], + "intrinsic" : + { + "height" : 800, + "intrinsic_matrix" : + [ + 692.82032302755101, + 0.0, + 0.0, + 0.0, + 692.82032302755101, + 0.0, + 499.5, + 399.5, + 1.0 + ], + "width" : 1000 + }, + "version_major" : 1, + "version_minor" : 0 +} \ No newline at end of file diff --git a/ScreenCamera_2024-06-30-11-58-46.json b/ScreenCamera_2024-06-30-11-58-46.json new file 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HcmV?d00001 diff --git a/src/gh/components/DF_scan_segmentation/icon.png b/assets/icon_pool/scan_segmentation.png similarity index 100% rename from src/gh/components/DF_scan_segmentation/icon.png rename to assets/icon_pool/scan_segmentation.png diff --git a/deps/eigen b/deps/eigen index 02bcf9b5..d791d488 160000 --- a/deps/eigen +++ b/deps/eigen @@ -1 +1 @@ -Subproject commit 02bcf9b5918d46016bc88e5e9abebb6caa5a80b7 +Subproject commit d791d48859c6fc7850c9fd5270d2b236c818068d diff --git a/deps/pybind11 b/deps/pybind11 index ab955f15..51c2aa16 160000 --- a/deps/pybind11 +++ b/deps/pybind11 @@ -1 +1 @@ -Subproject commit ab955f158c0f34320d0e65048459a6495f62978e +Subproject commit 51c2aa16de5b50fe4be6a0016d6090d4a831899e diff --git a/src/diffCheck/geometry/DFPointCloud.hh b/src/diffCheck/geometry/DFPointCloud.hh index 9fd53f8a..da72837a 100644 --- a/src/diffCheck/geometry/DFPointCloud.hh +++ b/src/diffCheck/geometry/DFPointCloud.hh @@ -81,7 +81,7 @@ namespace diffCheck::geometry */ void EstimateNormals( bool useCilantroEvaluator = false, - std::optional knn = 50, + std::optional knn = 100, std::optional searchRadius = std::nullopt); /** diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index 4e26e2da..9e384b3e 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -12,7 +12,7 @@ namespace diffCheck::segmentation int minClusterSize, bool useKnnNeighborhood, int knnNeighborhoodSize, - int radiusNeighborhoodSize, + float radiusNeighborhoodSize, bool colorClusters) { if (!pointCloud->HasNormals()) diff --git a/src/diffCheck/segmentation/DFSegmentation.hh b/src/diffCheck/segmentation/DFSegmentation.hh index cd7702fc..7c6c67f3 100644 --- a/src/diffCheck/segmentation/DFSegmentation.hh +++ b/src/diffCheck/segmentation/DFSegmentation.hh @@ -18,11 +18,11 @@ namespace diffCheck::segmentation */ static std::vector> NormalBasedSegmentation( std::shared_ptr &pointCloud, - float normalThresholdDegree = 20, + float normalThresholdDegree = 20.f, int minClusterSize = 10, bool useKnnNeighborhood = true, int knnNeighborhoodSize = 10, - int radiusNeighborhoodSize = 10, + float radiusNeighborhoodSize = 10.f, bool colorClusters = false); }; } // namespace diffCheck::segmentation \ No newline at end of file diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index f4d85ccd..353ee915 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -16,14 +16,14 @@ int main() pcdSrc->LoadFromPLY(pathPcdSrc); - pcdSrc->EstimateNormals(100); + pcdSrc->EstimateNormals(); segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation( pcdSrc, 20.f, 10, true, 50, - 10, + 0.5f, true); std::cout << "number of segments:" << segments.size()<< std::endl; diff --git a/src/diffCheckBindings.cc b/src/diffCheckBindings.cc index b8b87263..9ed74228 100644 --- a/src/diffCheckBindings.cc +++ b/src/diffCheckBindings.cc @@ -39,6 +39,14 @@ PYBIND11_MODULE(diffcheck_bindings, m) { .def("downsample_by_size", &diffCheck::geometry::DFPointCloud::DownsampleBySize, py::arg("target_size")) + .def("estimate_normals", &diffCheck::geometry::DFPointCloud::EstimateNormals, + py::arg("use_cilantro_evaluator") = false, + py::arg("knn") = 100, + py::arg("search_radius") = std::nullopt) + + .def("apply_color", (void (diffCheck::geometry::DFPointCloud::*)(int, int, int)) &diffCheck::geometry::DFPointCloud::ApplyColor, + py::arg("r"), py::arg("g"), py::arg("b")) + .def("load_from_PLY", &diffCheck::geometry::DFPointCloud::LoadFromPLY) .def("get_tight_bounding_box", &diffCheck::geometry::DFPointCloud::GetTightBoundingBox) @@ -163,12 +171,12 @@ PYBIND11_MODULE(diffcheck_bindings, m) { py::module_ submodule_segmentation = m.def_submodule("dfb_segmentation", "A submodule for the `semantic` segmentation methods."); py::class_(submodule_segmentation, "DFSegmentation") - .def_static("smooth_segmentation", &diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation, + .def_static("segment_by_normal", &diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation, py::arg("point_cloud"), - py::arg("normal_threshold_degree") = 20, + py::arg("normal_threshold_degree") = 20.0, py::arg("min_cluster_size") = 10, - py::arg("use_knn_neighborhood") = false, + py::arg("use_knn_neighborhood") = true, py::arg("knn_neighborhood_size") = 10, - py::arg("radius_neighborhood_size") = 10, + py::arg("radius_neighborhood_size") = 0.1, py::arg("color_clusters") = false); } \ No newline at end of file diff --git a/src/gh/components/DF_cloud_normal_estimator/code.py b/src/gh/components/DF_cloud_normal_estimator/code.py new file mode 100644 index 00000000..92fa9691 --- /dev/null +++ b/src/gh/components/DF_cloud_normal_estimator/code.py @@ -0,0 +1,52 @@ +#! python3 + +import System + +import Rhino +import Rhino.Geometry as rg +from ghpythonlib.componentbase import executingcomponent as component + +import diffCheck +import diffCheck.df_geometries +from diffCheck import df_cvt_bindings + +class DFCloudNormalEstimator(component): + def RunScript(self, + i_cloud : rg.PointCloud = None, + i_knn : int = None, + i_radius : float = None, + i_switch_mode : bool = True + ): + """ + Evaluaate the n ormals of a point cloud. + + :param i_cloud: Point cloud to evaluate normals. + :i_knn: Number of nearest neighbors to consider. + :i_radius: Radius of the search. + :i_switch_mode: Switch between Open3d (true) or Cilantro (false) library. + """ + o_cloud = rg.PointCloud() + + df_cloud = df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cloud) + + if i_knn is None: + i_knn = 100 + + df_cloud.estimate_normals( + use_cilantro_evaluator=i_switch_mode, + knn=i_knn, + search_radius=i_radius + ) + + o_cloud = df_cvt_bindings.cvt_dfcloud_2_rhcloud(df_cloud) + + return o_cloud + +# if __name__ == "__main__": +# comp = DFCloudNormalEstimator() +# o_cloud = comp.RunScript( +# i_cloud, +# i_knn, +# i_radius, +# 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radius neighborhood. + """ + o_clusters = [] + df_cloud = df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cloud) + + if i_normal_threshold_degree is None: + i_normal_threshold_degree = 20 + if i_min_cluster_size is None: + i_min_cluster_size = 10 + if i_use_knn_neighborhood is None: + i_use_knn_neighborhood = True + if i_knn_neighborhood_size is None: + i_knn_neighborhood_size = 30 + if i_radius_neighborhood_size is None: + i_radius_neighborhood_size = 0.1 + + o_clusters = dfb_segmentation.DFSegmentation.segment_by_normal( + point_cloud=df_cloud, + + normal_threshold_degree=i_normal_threshold_degree, + min_cluster_size=i_min_cluster_size, + use_knn_neighborhood=i_use_knn_neighborhood, + knn_neighborhood_size=i_knn_neighborhood_size, + radius_neighborhood_size=i_radius_neighborhood_size + ) + + return [df_cvt_bindings.cvt_dfcloud_2_rhcloud(cluster) for cluster in o_clusters] + +# if __name__ == "__main__": +# com = DFCloudNormalSegmentator() +# o_clusters = com.RunScript( +# i_cloud, +# 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zJ61(D9PdJ!kJCm%Dj3DiKzIp))>rYNgy*5DhDn{U+?DL4np``t$Qr;og{&7Ci8ygX_)N{{8~C86AxbRoNpD@@vcMO& zu~*x0-cqi0E~ekhBuod2;31Mu>DR%xu5{&KusJuB9%b}-gOqZuN(J)C^V7w8#^F=% z?zH*13v>!qe3{u9&HTwVT)K4V+shQlPvqoR6oOG0Si%O%Y zlL$D+oIe;^ISIJ?Y5i<<+3T$d{TZKysgBFBGS diffcheck_bindings.dfb_geometry.DFPointCl # colors if rh_cloud.ContainsColors: - # df_cloud.colors = [c for c in rh_cloud.GetColors()] - df_cloud.colors = [[c.R, c.G, c.B] for c in rh_cloud.GetColors()] + df_cloud.colors = [[c.R / 255.0, c.G / 255.0, c.B / 255.0] for c in rh_cloud.GetColors()] return df_cloud @@ -65,6 +64,12 @@ def cvt_dfcloud_2_rhcloud(df_cloud): df_cloud_points = [rg.Point3d(pt[0], pt[1], pt[2]) for pt in df_cloud_points] df_cloud_normals = [rg.Vector3d(n[0], n[1], n[2]) for n in df_cloud_normals] df_cloud_colors = [Rhino.Display.Color4f(c[0], c[1], c[2], 1.0) for c in df_cloud_colors] + + + # df_cloud_colors = [] + # # convert the colors from 0-1 to 0-255 + # for c in df_cloud_colors: + # df_cloud_colors.append(Rhino.Display.Color4f(c[0] * 255, c[1] * 255, c[2] * 255, 255)) rh_cloud = rg.PointCloud() diff --git a/src/gh/examples/assembly_beam_system.ghx b/src/gh/examples/assembly_beam_system.ghx index 49399008..324f6ecd 100644 --- a/src/gh/examples/assembly_beam_system.ghx +++ b/src/gh/examples/assembly_beam_system.ghx @@ -49,10 +49,10 @@ - -141 - 24 + -102 + 263 - 1.083751 + 1.2750001 @@ -68,9 +68,10 @@ - + not_found not_found + F:\diffCheck\temp\test.py @@ -82,21 +83,29 @@ - 2 + 3 - + Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper - 8.7.24138.15431 + 8.8.24170.13001 + + Robert McNeel & Associates + 00000000-0000-0000-0000-000000000000 + Grasshopper + 8.8.24170.13001 + + + - RhinoCodePluginGH, Version=8.7.24138.15431, Culture=neutral, PublicKeyToken=552281e97c755530 - 8.7.24138.15431 + RhinoCodePluginGH, Version=8.8.24170.13001, Culture=neutral, PublicKeyToken=552281e97c755530 + 8.8.24170.13001 066d0a87-236f-4eae-a0f4-9e42f5327962 RhinoCodePluginGH @@ -107,9 +116,9 @@ - 13 + 27 - + 9c53bac0-ba66-40bd-8154-ce9829b9db1a @@ -534,7 +543,7 @@ - 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7H0HWBPbFm4gQICQQu8BFBVREUWQmgxBpcWCBQsWFMGG0kFEiqBiRewFEBU7dqSJkCAiqBQRC0VAiqCCFOn9zUBG45h4ju/e+z70zX/vnJCZPZNV9l7/WnvvRAwfBoMZBAG9QhDjB/9jO3/9hi0uZi6bN7tsmahq6+juscFli4m+lr7W1GlTpmtrTdHR1p4yUdXMy9nTy93RZIujl6f7aueJqvO81jhvcLB29F3osslxi4mu7tSp+lMcDaY7TNfV1dXRFoQ+RHLo2Vrmji6bHT3dfbXo7o6uAuB5nPfwx4iudndYv8HbUWftZhEXV8ctW7zc13gIrF3tuRpqJCwszA9JSB6HwUwFXyf6ksVEsOAfJOg/qQ8wGP6eQH7MXfAPCL2D/BgptmZmj1yaNWOEZ0UVXXn5OE9TT2PghmEfeN2X3XYqJggD+I4dfkPWBv8DiQs9LRXz89PkxW+vtMG/EmcOYMghfKOarRR8ZaGn7WJfJ0NSQoBe4b+/o5n206nh80zkGc57+2hj+oTHV9N+ft73a/B76oWGCYOB/EHw+xGnzErT7CZL9/YhZZDCw+8d2G0ECAMjWxlOz/wo/BgAbgO/FxijoDGilbHn8AxSePj9dIP8u5jHo4Duzxo3R6QysICw4Jyega8hPeU7YZXWiFRGdMobj0RpVQAWnFMZ+BpSufoFlwNHpDIPbR5sepenAMCCcyoDX0Mqp7j6SsiIVGa460gDsOA/BwDpb8rAbRzGrbg6IpUZtjaZPWakuXQzMmLMSAPMaZTiEanMsICC7G5G5uIZQUQ3IwOjommGI1IZmCxhwX9Wpp2GVE5lp23wHxOaYcDKIO878bI37I8JzT8qI4jIANppNVcWRfwxoRkGPEaQyi033wKMSGXWcgnNPwovDSCVe7F3VviIVAYWEFaK83mwgkjlTKWN+EakMmu5hGYYcNdDKhdXGLp7RCoDZ8uwUpzPg4MCUrn8t7dejUhlflVpcueZdtqTMdsmjkhl2ILC14K4kSZSuVzLjmcjUpl/9sz3dAZ+nzzO0uQP9QySNAWBe9aZpSNSmV95Bpk1w+/fJvsX/XGeQWYA8Pt3r1uoI1KZfx4z34sz+H3zBo2lf+iY+Z7OwO97BS8yR6Qyv/IMcg4Afv9m8wGNP84zyNwMfl/Gh8kbkcr8czT7PtUEvxfbVO75h0az74km/B6Hm39kRCrzK88gZzTh90kfmv68MYPMmuH3cXsd8v64CQ0Y78tWA6X73jMxQXsX03DjmYpXxq0fkcroDikzFWCkPp83RnHasDL3803Wr9/BDLp2yXB3WcJP97XsIgiOSGVU419KvHOeAsBKDZ17HTrbN6eKdg5LlM3UymAilftA6bkyIpUZjlDaAKwUdO4Fn+SxxBngyhnLaqIeyZiGVO7r4HOBEalM7dK4a2P8J7HnALSHlCHgNzgq7YcSzK74t0LjmUjlPsxK1BuRyqQMsbomACsFnbvXZrcOUsaikSJVVFXFRCp3zV69YEQqE2aZPumoqgYAKwWdax7fqAxFL1gZpHLv72LdRqQycEiGleLnEoqRysU/3jgy05lfLdDCCBIhXS87WALef3/RfUEz2uXW461/EmlmD/DbpGV7jT9nXln1033k+Q7n/5hVgHMvVhT4REqwOJT5Qbmcs4T+P2YV4OCkay8hZcA/Vdd+tKQilftcMm4kB4AfVwFeHW1e5DELau9vHZM2mYZUTo3evfWPWaC9sHx/QjqxmRmU4fHKsySdiVRufu/Sp3/MKsApXc03BTIlTOB9uVT9tPtMpHKr8Eqn/5hVAGQoRiqX3HhqDqcyN6llb6BNaKaybAHlODRU5vv3Gn6ANYQ2xUGANtgJ/AcaCnFvOAS4akO+Qp+3zsnJaf1FIVbm6aqJL25bAtN0dOIMtYWB5sbGRrW3ONab662bb8daAmdOnz59QwcH+IAoFRFh1aUI3A67YglVgEGU6UJDleBxY1FWV4508+YYSwB6brihICAetSGTW3fIxfx7Yx1HGuu/ydTwsgJ8jpsS8PmJGMvCFcssgQjQGLOchYA5F82KR6RybMZmscmOxf8LT4OvOjf8BSClyVcuDXkUU5UqCMRH3pk5IpXjlpZAHnEKw0HKGd8/MdxdPbT4eXbL0S+WRY9I5bilKaDQtbdODym3vGS/JQA6LC5sAz/AS+l9p4GcEakcj80LQeeCBaCxteCqlyWQm5OT44QfoPFSOtV/xpIRqRy3NAZSRt1FgHXE6bbBx9ChMadjZ9ZP46X0LcVLi0akctzSGqi7dda8YK7S2X7ilvaQEoyUrI9MXkqXmmycMCKV47YPDVYOVML3bJ3FUOCowtQweSk9wfzTuxGs3I/70njxGS+lMZRBk5Gs3A9z1DDPQXzGchoK+bXNq0UAXvy3MVcbGMHKCbJgJWEqKE3KooEeSsa0WQx5zH3hCyYvpTeXPtk9IpVjjzW2coIsTuXAsfWGbDJM1upVxUxeSse9H39zRCrHjpIsWEk4oOit5IOi4tN0NlnPmsIP8FI6bE2G8ohUjs1vbM9Jf/Mc3ZUPCig6z3YNK6cdxg/wUlq8ovfliFSOnZmwYCWhcxB/2YQO81lfxPDYwn8VBHgpTaG6XhuRysHVAKwkrBy37J+X0gfWfzXnptwfXfwioyZc/IqWj7WJXjOcnq1xFP5W/Co0TT8SsNIS0AUp5NV6HM/60NTjXvjfZCyuUdgbNApe9wJ0vruiyQKwXbRoUbV+ERN6vWGcCiUTBsx6C2Dvnj3C14nvmbySDLldck//OmMhozpsLPC8TLO+JSAhLn7Yqvr9N2OB523zp1kCTWAPDH7NO92UXVOe/tcYixdLQEYpdeCHzp/OO2w5NCzX8/FBRhMP2oCFzm8oPWAJ7NuzZ49MzCCNZ+GhT4n4a4z1C6qVX+PND50/uiHIEhpue+7a8w31mB3bsdD5VmE/S2Ar2AOn6mAAXiVoSW6s+19jLF4sBvakLa4HBVkxPqwzEWCPA3va6wOPBYDY69evHzoqxLq/p6DXEOxxM2bMeEw4iQV4TUbsGpX+6a8yFrdU4AZoFFqIIMtEfJln7LnhniURJgCojxo1qnCPEGvHorNFt0HjQsPSbCWW57RUl6nlD1tQ1BifXkGT6ZtIbAOIcljwNBcLymbbm1dzWDBWIywNsuBqPi4WhJIb+PX/pSW5zVAK/8K6vMpSXlbnNTE/moc3eE3Yn/nNGVPi3HGHuXX1P9pRMOBJEshRvBzyT8ki0iH/lEQiHYJMLqchkst/WpQ4w046R29Nv/TXOQo5iyX864kerokqL4fwSmB5OYRXYsvLIbwS3sNRR93+Ukd9n0sV/vWk1S+TZKRD/il5Rjrkn5Lqfzu3e/Tq8qd/naOQM/qcjkI6hFeC/iuHcEvceTmEV0L/uysMBltsc/46RyHXlYT/YTKRW3HAyyG8ioZfVFhci4nfXecKCTx78a9zFHJ1Ex5R3BzCqzDh5RBeBQsvh/AqZHg5hFeBEzb+5pG/zlHINXY4PefmEF5pOy+H8ErbeTmEV9rOyyG80napDaQp3BzVj/nZURWv3s4x/1Qozvww7CiPt0WdkKMy2dfFeX3Ip+m9LZ6pNTRpxm7ZbdeymcwlxduCjtYx99PtdszVdqN+nb8maWt7I61z3tgs6pQXzMOnawq2rvxIiytVHG3V/5j20id/SwK5hsbrfGff1MVhDAorVmdjGFa4irlpUMkt/QEZOHPZ5HTGtGqm30Zy9zK7XbR/uj5q1qHz/zVj8KoHouy0B0BjMO88LVzjey2bJuXd4Acag8aHYfGNYdmmSQarp0LGuNOQfgEyxueioCxQaebpByqhoNLMG4+qPUGleZ4Xwd1ut1uoCjw44P5OKUeC5XPids3Ol1doCloWY3R0QGUXihw0jt1F+6frpLonMZzGCChtnAOV3Zbs4Ugmsy/wUpRzCQIq0Tmtyqs4wXK0gf5WdF6ZsmqXLvVXe3Wgdlh2WGDvrxsCdI7XcIDbC4KHDHhcID0tCVjiTGXPn3CNdVh2eyh8SIOH84uuI8+3hVChc7yIDMtujwMPqOfkLBztM2VGIBU6xytLwbLbQ+FFEjzmR+44FpW+jAqd45WCYtntRcBDgsMGwhy2Rq4yYNntIVuLc9wj8osaCcv2JZ59zyQvncfbxO2por9I17Hs9mII2fC/yByx7PYEtg1giP0iicGy2xPZtnaW12juqNpOJfyCT7Hs9iS2T5dMfJk6u8uTSvxFaB/6UULwILP7zkf9i+J2FT5U6ByvsI9lt+dn99G5VnGr1YLtqG5iB2yhQfVUiGNjKDdw/o4e5DDOHa682vJxDDYYcEHMx+4c0P3Q3+PAI1Q3NbU8UJeKbMu5hojcIQidI7GvQ0pqgIfi67uOcn52VGRbeKBieGzGg/WCBqEqhzzItpwTnUhOhp4PywsNTDWo7VotMZqNMxXZFroOHRguSRj0fPhZkG9GQbqvKDZ84RVCRbYV4sgpkFm3IEe+Ag3g0RzPQbaFruN+0Ot7mQU9X5D9HMhv6uDx5dxK16nGgVRuJRk88JF1NfR8IfZzoIE+BjwqUw68ynywjIpsC10XQfQFzokUHEdwZ/+6Jte2ohwEgNx5Az+fnx0QxoPHff2dj1cS7KnIttB1/I96fdvkAj1fhP0cKEho/vSc722h62I/2vnbfhLo+aLs50CBYwKHXsi20HXCj37/tnUDej6e/RwomEwED78LHxOPlm6nIttC14k/9sNvuySg54uxnwONs0kcz0G2ha6z58R/2pAAPZ/Afg4UiLTAw5n0VQUo9qEi20LXYXJHrv1DzyeynwMRwGSO5yDbiiOIhTM2iXDEHwlEkEe2lUAQB+c1UY5+KMUO4ryeI8nlc+BreI5xIYNIJJBtoc+R4nFNjGOcQrFc/hfPkeYiL3yNwBE3FMBD8RfPgeSV4XGNyBHHlMBD+RfPkeWiN3wNjvHQQQEPlV88R08i3nmI1OQ4fnKXV2P4PUxUMAEgietX9/5bIAkR/u09+DwcNGHy+JUM8L2/KwNyQw6S2OFXmHgw/wM7cBIxt28dwkEEJvVfAb73d2WASRxJ7nBn5ewPMEkjgbz3nz7zpbLO2dSuD4PwK5wAIBMDTvLnlAEmZ04g7/1dGeDkAZlUwIkDZxUFVx9IIO/9XRngxAOZkMBJhwBCBm7+QN77uzLASQsymYETFkGEDD+vdP987+/KACc83BYjYDk4ZeA2NpD3/q4McLKE/F1QmDBxCBm4FQDIe39XBjjRQo4vOMnCIOID3/9gbMJJGnJ8wQkaZ+LIOVb/m2MTTvCQ4wtO7kQRMmD/B2MTTg6Rv3kJJ4Z4hAzcxgXy3t+VAU4skT9VCSeVYggZuMUH5L2/KwOclCK/WwonpASEDNziJPLe35UBTmiRXwmF5ILl4JSBG18g7/1dGZDJMJwDQHLBMQLzy4nyn+/9XRngRBr5Uz/iHLNQnDkMt/iAvPd3ZUAm4ZzFAlwUcNoB+z+wA5zAI3WRYH++KMIO/P8DOyCTf85iBy5qOO3ALT4g7/1dGeDCAamLJPvz8Qg7YP8HdoBqDTkexRpclHHagVdOyXnv78oAFXvyXHSRYn+eGMIOAv8DO0DFogIXXaB+CheVnHb4N4thvysDVKwqctFFmv2ZBIQdBP8HdoCKXSUuukBjBS6KOe3ALVYj7/1dGaBiW5mLLpAM8Mwzpx2E/gd2gIp1ChddoPEKF/WcdsD8D+wATRaocNFFlmNii9MOuP+BHaAJZdV/WW9iOHj0v5nTQpPRalx+iI1bvclLBuS9vysDNJE9isvvp3GrN3nJgLz3d2WAJsFHc/nZM271Ji8ZkPf+rgzQBLo6l18r41Zv8pIBee/vygBNvo/h8iNj3OpNzvkpTiDv/V0ZoIn7sVx+G4xbvQkvPiCBvPd3ZYAWn8Zx+UkvbvNyvOyAvPd3ZYAWrqDj38yJYRB18P/tnBhSBmjxY/y/rLv5eMjwn8YoaOFE81/W3fAi0n+77oYWXSb8y7qblx3+07obWrCZyGVei1vdjeEhw386JwYt9kziMq/Fre7mJcN/OicGLRRp/cu6m5cM/2ndDS0yTf6XdTcvGf7TuntRk1kDtKixAd6VBndCAXaCJcBlQoyPfR7P8R4qiuDABidd8NYI6JnSHNfgCR3IyFJsxWQ5tsfABR1kABl2YJTn+FyYTEns4gjHTsz5OCaToetkdtEgxE5Y+TgSMei6ODuZFmQncnwcW1SE2YnVODaRjGET62h2oqHGEbRhUtFgO1SL3cEnsge8JjsAwoM66t75I5DR4W2D4rDRuc0owEZFrvJwbi3grMBhRyFn7uDVJ2S1DK8IIWfA4RkOZAaP4zAUZ0YrzGEQ+G8Mx6wJPAv9q9WnkYRzs1/RDO9G+i3eJsryON4eZ/TBAqC2h5w+1PGJSb/GdMAef07b9alo6cx7lkBSdWXZgpsiAOTUpFnD9/NBW+x24H7eYleD2GI3KVlxObTFzpLdVleN3Z0nAd3v/ec8pJUezK6qOviMdmDU+ohV9+7Q6Jr7RxskPPnpH59EciR8fnvlvAWl+97T7tTYsM7EM+jHPcSBZV9Gs/YGzKaX7zAFY0YQ+KxvB1iLfDt+ODf8z66CKp5gf/DQKi+37TgQJpkp1VfpKfyULcBL8EiEzqizklv8hjb8mjB031C/hjY1nT79iYYZ+mx4UogzVgx3f6EV+DsTdHIPwFdFhASFRXFCIkQRYQJJVITIh1FU5OcTFBLkU1QUVFJWVhYWFBRWplAUlQQFsTh5BSy/EA6rICCAE5WTlxPF4wnCKmKqBDExCVVxcQlJIkFVgkDAi8rKipLIsmSSjAxJSlpGUopEFKaoqBwAPzAq4bDakIgn2ebYWiKYbmpx1E0OZz+TYaZhst70+aWIN7XTp/e/e+dZ1OSXKdDPvGRpOlNqjezofd525JsrZLwts61FRlEETMWlQ/YFWKnZ2jvmkr+SKQIFwqMMd3YZpxpRZmE1M5n8S1wMM/nMHVfHU+p0ZAKXz7N8uP5xqIuaUO+ihxlu97c9YpQtfnpZSSrslXtW7L1jm9Rs1+kUXnQvvpWRmznL1vtaQ8dM8lNSXOy8Dw53RMe9cbhfppl3UWXmgkkT91/NsVPrm534Ndrm7thH9j47Ty8a/TQ95mO9S21OwuH8xc9twoWmf124nTp57Nn4lnPWH9JVVPJyve+cN/3QG6H6aK++ed0BsXFW2klVdzwzLbzfC3tvKule/9yipcjN00lssO6658Ov9tvjIhIPXbvI7HHNj/xw8qhmfNOkhQ9KDASOh3q0Lymn5k44ufDNrAtbyyXr6hU1r513eucrf6n3llVutUxSx3Xfy8sd286oFJsFdCjZ3qUtqt5rxKo30Gx6b7pO47Ed8+DySO/qIAed7sJs2134p+Vy0Wm6848t3ud/vjrihUKz+mjIV/iomtQhXwV98xXh0FKNx25Su3bNOHZxvMuMpXQN67EPxthJiJBO4I7Gr51QOMmuUf3CvH2gpZ+9WfJkam3gh1kKEhc0ZtoYW+xbK6EWcDvRg9mqXF1tkH979MMPR9VtdXDF4gpt6k2JMhRX1Xczw4uehRZnCl8yPKK4SVLRmxxWZtkz58pSOzPtY+E7T+OKPCQrDczKOjcm2ePPm+xQf7Z+TZZo8DWblvwJ3eW739uaXogbd69CiD6X8jTrmMq4a+XRC4903ZwzsHxGksqY7oTj995K0JdN3luokLVjn0651dSpdRlq+1rnz7wX6Xs1U2Pw3agjTyPpCTmjlXLDb4TOilvqdvaJxZzA1K3Z+96Xmbuv8dhY9lxYfNaR23HEm47Sailh6vcCZnloXnYZ89StK1Yv9l35PYuJsue330w4lnWk4fjH4htqfUKxjGVTpruMXi4U3jDw5Wt0T9nk0b7NS6qdMh9eH+NWtrRrhdelxMMXT43dumRzy8dRyQ8pa1O/WjaOO/9WgboEaI5W78YtG/tqjNk6HwFh0A+Tjm6vHnLKQfYY31qim3dTYoa93O7K9bNeZu8bHS5mJ53rK3zB2dMmBm+XoGUzf1quyJ6EU3c7dVovbar1b2rKmvS1Zkv91i+ji53Tti9NMH4+Ws+vomfjoYbDvsv6p5nXZht4DnYGak0+b2Z4Efy/Xfn5oVedOb6qWXknKh/WmwyEzNH7uGK0x0Wz1sl5oztNmua6vpFx7D0NxylusQ76Zc6z8Q0nhqR/9k16B/sgjMfzVkX5MA0DIFlszuu0A0dbj1dur0i9gl14adH7vj2DZ/EJKmbNR5XnPuycON+ra/PtnlCz1jsmDNoBUiGpOqNtkK91csbrjC7tdm3qg22n/JmNEYvbG1MdSB5gCx3Sk9DTuOqMnJCW1bWmOYFi00lPzL0qHKZ1mszyqHDY6Vso+843oIsvcjB+VX5Jb6vXtM7oHa2CSqqV2OpVmIhE+Vz/iMrGXiJh7sJB8MKgaQb+ySAhXuXJIMlL5QAJc+Tiu3sZS5+KQlpd5FCfmwnGqrhDvPWLbywg8d9vB8l1bK7FO/BFtzhmzA973iE2fir479n4sCAHG0PJ4woD5df+r97TyAW0oNkra76xseyekxe2BP3Mxshtg8cKbDeaV1bRXg3/APEQG9e9tKL7vRoPGI3WHWLjQyTrv5WNRYUERfA4IVGiqAiBhBcF2VhaWlAI5GM+aRlBWRERWWERETkRYWEZWYiNVVSxqgICECPjQHal4EA2lpOXJxLEJQjyCgriCmSygjiBICFJIlLwYmLKYni8MklJiaSMx5MkpRSVSIqKcgQRESjSb2qusRkSdc63SD8mz1pjho1SVouUnUM63YKyi2H2Tl72pEFrCqXQpO7UWLz8xKtLC28cMz84/tC9s9mjl44fdX6Gu63CCR3K0Ue7D6rJrHGeEZiSXzXYdcZxjvTZY0lEv1PddemyfMan184F7EtLTbX2ukk5+z6V1wqTV1z3vGz3MkvhhwGJ4Vkm/Dv4ZjVWVOovsI8WX3Bp107/Qss5FJGJTvU1GVY7bsyT9FV7Jv5ganbMaaXOBxHdHZOOp2i9sLU1H7gj0jBnU81jAfOCuP2bjXteu+6YUXNvX0OE5FaXO0c3pen3nFRaaxc+umOBdcB+O1fi67jDDiukQ9Wv19ld61bXEA/Ti2s9ZtfebvXuxqcb9+8smHn68av0wJDLlupzNxWd+ji/RVQka1dUQ+Cd5hfVF06nHttlUGyR4rsBf2bDi9xSpbCluI8nbR7brCqfQ4hdpOTTvbIDXzjm8mTB2MqjkInbbZP3D5kYnpDfWmLXv8xr0M1lsdFlA72OWPNi7DMhTO626+PjyPzLoFBf3jBbcuiW8G+3+DFP5Q40XbQt7QR6Qgeo2v0fcqZr9/vvT1Leo+Wod7e+NA9/Aleg6ksmHHlrMon/DemC6VdVBXXShdVfVfvXNVmGfDCdZkGZEVLjQR2/oz1kfbjxHqGnIetPGVsMUldo3TEMT1U1zLMhMwYJhzGFqq1AW6SYrz4hTnZGyKsd68OppwLta4PXY1JTvTR1plrBX3fhCijat9msmD+kwL1vCjjYs4hHhgL5g42HngWK1nnIr5xQrtXDN3sgtl/F7zVN6Uzol9U9Nt1zK7efChAenPpOSU5l0aDjtP6TU9oyGga9Kh5e92lSTgpYOLBAH7zgMK1XJaZ4UC53IEuuZ3VHtGDr9Izcao+gLtknoUWBQnmDRbfXfenvNowc5PtMlRusbxP0OasSgKkLDP66usN/VkvF4t6Kea3zMqrFIgdJY6hpJdE7Hsg+wWGsJV7teyBz2vcPjOppRtlqP0X1WqF/H9VvCXFEdc7NnkO1VmPKN6GObNJ1m19a/1NUR24Cb1breQxF8/vnZr/wiZQAoKjeYGxOV8SpMuuemFBF9Kz/5qguhhMC6yScGFkMTxIniJH5MHJygkJycnxyQkJ4eVFReTz4KqqgICgvJCSE4+cTVsVihyM7TlhYRURERZhAUAUjP0lBUZEMFlQkRSUlKSVJSSUpEklaRpxMIYiLEyhEIkVcQkKFQCRKiCsri8vIKiuQ8Hgo9JCqTZ2GRI74Ft35DvB5DJiBhMoHmj4UNP3iagFW8Dwr+l49KeD1rGtM7CZLunTKA1r3QXHmzl0W9MkSCrQK0FVC58zpx2OC0yIXGLOMla3pOuozgTuSYqzU6Vb0adZEYM+VRCZtviV9U80t2qq5WkyWswW9bC0/7UjwcRPTUHO6wcDdtI4QM9ZWAWt6uT4NEJkhyeqmWNHfrxIGDIWfMLcZWNIfEWJoj8nWzL4FFnQZl9dUXXG1VP8t5vTyJZVpDp4KrGlCVvT9nvzAl/WvmAmqlnT56Sdp41+uY043sqC7SV2mVlsqpiUtMqenLxVmXgW7WhOYQOiu0QEeXlRjuX6xpG+W6Kade1rFbMFZ0l3t99OyLIOZHqMs6Gc8NlNTx4WmtYFdUxLsmq4p+qyz463pZfIWwNN6GquEbE3fo0UHRimZs6S7QH3NjIG5961YcfWg3WYbAH6MOSybCit6xWI94HbOwjRbS3P6Rm0p5pSwjFTFNeZ0baHutKbWvcYV28zp+2OfpknNEKBePGpOr5t3Jo065fJ77XNtJyF/HT6lvW3IX43sLra1ZNP0VyXu2726B0hRB72Nj6rrqWDvMTHFg5Mb9ITuMrHFhFWSs8P4i5lBzrgnufYdNNVe9/OZMuFnDgEJ/TVAUvmroG7X1LF2IemfA7HF80mLM9o1t7iH1Me3bRSs7xddG21QIfCmF5sdsLJK9G1vN0tCu5eWXb4AX/l5QW23nMqu69GOa4i2rbhsaoq91vJ+rZi1d1ZEBzUsb/K3T60Icg5JfmSfStvhzJys4Jr6XPHyjmKxFQe9N2EJlZWtmy6YvMttPLm9suHdXDXX1ivCmaziFAGn9LJmlr1aZC4liZ9CfLCrvtIZk3erXPflohmaEPUJhTnoDpkg8JsJZobdFQ9SFZtZlhk8ZobeYXnjfPEbzia2LJN3j0bJ7wgWVKcZXPTNyq8OXd2V364Vd4Q19YG9r4bi3GyFzAUSGmc/HCyIlU3dRud/bUbZ+OzUBJFjyR9erjNxHv7fysfMje7Nnb1t2/LfbzOOqnq+vDNlYGUXH1HLRQOImrODR6gYjiPgqHe4ptE4JG8KZ10TtDZLsslkf1qJWbKYH7+PY4VBJz6vbupD24crjqXzPZkeZ8w8XCksGUkqyP/cnLWynRRau9rvlK82NcdYTsWJAtUui2g5D5+vr10xS6dp6hnfkwU5KWLTm976t14vT/V537Ma5Eg5lcsqYEGTDxY0xrM8vr+06mXkhhT5gBRYBlOgdKbJqi9MxirXuu5KnHC/xnZb3MJ+7cHo9NW0WCwm0+BL4m5aWNgfSHlf8yPlfqK8179RyERxFjIUjmlFBUmjZ/5zcmjXK+/Ftyrl0t6zZBfIX3jNg/K+L3PAlFcUFnMZes0E4wpEeVUms4Yo79BHS/pBMI7+5ZQnLoYnSxDExPkw8vKCQvLyfCDF4RVERRWGKA+cYlT4NeWRFUkkcbK0DBksXKSVpKSUpMlkGVkJcbCqoUCUB9GdpISysoSsnLIieZjudJQODU9bLflGd8o5szUy3JSy3NSkiM/nb5LNdy8wZhQMTIi+X9Hk41Ek84ElMTP5zozkiQp7jb/Qj7qGK7uKfxrsdag9/+pZ+oKucY7P0vkyHVsGy1eGdtbFRGvmHZDe/WIZ8HlQK7a267DavfqdMV8CQt59kNbvo6riKgT2zXYzkBUef9B0d08NsXhdpbDdmhpg5+jMAOuViwQMIyqeZrntaC2/eD9C9PVh6u4rJ9a56++KcXu//0ae2/KoSxt2q1gLzDJJrqm5BZRZp3WMuuGen+H66szMNGvttnGMmgq1sPnM485PxZPmTBrzdjL+QP7CjRt95wUYyH2dis+u1TdzPh+8vDR9ypKFZt6B7gudjbIHpuzwy7x0OuJlVH2r2N7amd0tBpUvQuXHjpa9t9Hw+jJ/sYQDq5K9Pp1Ymf7CQWfTbhcnwesPFKfFLC2RetG5f5pDKUX61LOnl/OP4PiY248Hhh5N+pS8fCoDMrbthBYmsqzpXvZ64EBiPbXWQK93cdg93DECZo1NyiSjtrmboNjes/bknqFbQr/dovv8PNGUD7Orcpxr3RiBVrEtrx7uvHjmtNZdkTP2KbMfUujHN+xbo5cS7FxtFNG2ed3ghssx9x4cem65jlxxckvkJLsW3dT24r4HaxItzJW9XtlMN97y0gb666bKIsPPV2PCHixImTN0xWdS7V3qjarWhwdT86llq4y82nr5+yYGlkqv64PWq7717p8GDtjNG6ikkiG5k7nE+CXK55bvDsgPeXBUWv99n8mOlHtNkdXBratmbFl5bdlzPLvM0XzPI8w/MdeF4/sBp3LHaa1aGbm9cK2DaPl97gp+adWLSW4SC64YjvPBNP/0qLpQFVY38/z2pMDzn236A4UyqHIqmMte5QLbunPc/sAIn2CgEfhThD/yGwtHy3A8IvxxsqeS5+JPtMsTFk042FJEsx64d2aA9P6nCI9cTGeMn9ZaoFFNe63v0hsvTQC0fEezNu+y/BbhZRIYdJN94sD/NxH+x6IGLyQoDxU1v4zuClB0l5Img1NRUoqSkopSZDDWS4hDUZ1CJBAoUGSngFNYMrJKyhJKSgrsCO9qx4/jVtBABUooSKyjxfPT3iTlpX2KsKIfygqlhmkGMK3nWtPV5rnQlmx/xrzBD7pmZS4tvkWURQTdpAu6CSpQHuVb0rM3DaQtJGGZH3dY0e1FJ1L91x1gkqZZ06WMFtHmmb9l6tZa07OTmbTDkuIsu1MMOnaTKAAVKAMJlnS9ahmm8SMK8+M6Kzodf9jkXvJpZqGcNR031ohmLlHDTH1qTZ8vfY+2RVeWdXUbg15gjQWgYsXgrCV9T7gWc4yXIfPjbCt6fdfbhx/xV5gn+63o3WQ1GrWsmTnrJliIuF6kQQWKF9jNSsBuRtCwZX7UsaIn4fpTKSvvM+2qrOgNvUI03av9zPxwa/r6nBO0sWC3pNMY9BKFzzSo4FB/Z0n3SqsdKkTsM8AkRAw/VKBEXLekVySPYkKFy9vDlvQp6wyZ+utVWYpzGHQxwxaa1WJlVvtyBp26tIu2fJYCK38Tg+66dZAWqC7FCt7LoG8sFQJi+Iks3SsMemQPAbgfcFdXN0dpJ+SvhNrFLsMR//tCUv5cC0l7OSFXw4XbXgAKuwPpZCmfqxlaFZ2H/QnGgsrGV/UjB4PD5Z4QeyZJf0g/QD5gkLNBdffMeaWvVr9J33ZBzHDGVvIlEfmpMxxyMrZIWDR9MTBmnqwrW9Fyrc9unZmNa/1b3SgrQ7upxMa2vE8v7sVd47tzzSQmNTav/BNWp31Mrf4XZyrmRBQxNqkoTq7LI+s2do3K3KC9b8asGJMwjX8306l9YF9cXGf6s62nl0r56QqnBcRf3LI3KlBoYLxLgexjGRM+Wtu49kPH4g6rud7vnmGeSdnFKtk34fJMZzvZj8UDt8Iq9Ev1cWHMj4WfdsbpHH1f99ivf57zFoGHbi0LezN7VIKix7Z+vtbmkZ8eUSmuHB6QISU3qf9C/cVAF7E22bzTwc4B8kJed95sPxZIagzujteLH29UMTtk0HnhLvWKs3yk1PrP92qYcfbOq+duzu4vMk7qufpkbeaWtuB0z/jxJ3JbKC9O3tR+O4bkHaJ7k6KjvtQneCZz8mmXI/k+QYN8UtdYNuLOChIQG1eePCmKmGTUzVUTfWQvl1X5YQVLP87HdVPwWdaEUyuWtfDvK9Mz3rUNE6G6RnvJbtU1ZIGQ2dGyJ842D/o3LW6albk2LT+rbGLOS7+8zA3yaZdnR7czFal5BUNU3C6U+BFkYsPPL9uNIE7u17EWNfpyv1D5s1apWVtEnu7y4/l3DAOqmbY+G66cLR/EFOkFnDz09orFt4jPg5ZP5dmMHVIg/YclJa2MTZmlMwWVzi0X2nXz5M7GGuFH3U4n6qZPVRIPbvXvOEucd1xmR+vwmpKEV5cDe02Jg2ihVaOYMz7yuZwFWGVt/wOXla9TOonvfiDvKWf8KDHJddCLw8fQ5DqtU0z5XJN15L4Ak01N+W8r+yrYy0yPAjRUnMplr/qt7quY169NfY7d0321MkU+D4cRyH6zt17S2eMPpOcHFVucf6Jnu9+g59G86LnD9KyAys4cWq7yk5O2Nadom5rG0k40XedRgH3fbwfTc/y1KmGjhRk0MWl1lhEYQ1+CcfAmGPchej7oJvW30jNIv6IQRRPxogSSGH5oJUlGUFqaT1pQUBRcSRIVlJEVFYEom58P942ewZUkFZChcWJiqiBT81pNUhGjUJQp4IrS0GqSmNj31SRRUSjcPyA3VXOjZ066zZXGs1SOMegiMySAWgM8S9udQS/rlwAGV+BZpvMY9LuJkoBsMJ41X4tB3wW6aY2+OCvbi0F31MADU1eIs3QXMOhZH/AAf7A467w2gz4+Rgx4eVmcRSQy6PvsCQAnxXYsk2W5LWbQ08UEgIAgWZbBNAb9Tq4AIHRZlsUvzqCfCxME9vkrs+QNGHSDqm7a0xhlFlWaQZ+2qZcm8kyZtabFmq7d1vcDlVLOjWY9UmDQW67X06SzwPMd1nRhoy80QiN4vsCarvK8kSYAdjkzsMvp2TXTOKmRM3XgpE9OWuWkW04avsyvxlqbak2f4txJs2xWZu3OtaZP8B+g1ZcpsK6WWdMls/iBsOeyrGdfrOnhc4UA7WQpVkO/NZ1QJAJ4HSOytCkMuvAnMjCwMErUSu9ONeSvC5OeKg75y+ybv6TDZ2vstJECnj5SaJlYdOfOAr0zR3pfJa52UbuofunYfKujB40Orn0664i8mNOrtTqisfldxeMv5cw9cyD64rypGaqVOY1thk3vOre0PXZbp7Xoid5BExPvdw92Pqs5cfeteZhiyJWMJwGZyokTrk2VnZIgkfcIX/qkozKx7KrA9APtVdEZaob79c0SNcUNU0LD7IJiPLWacdELX256Utvi4bqxrEihaFAs9EC7a2LPzDGWHmdb80jHhfpM8iRdTQJ217qaXpJhRjo1zM1U0U4QZMY8HrfAtHx3oNCh2wr1WU3j258KRym/dWuq5DOU7EttscrMuuGtH7loqZZe5T7ccf9ITP+lxcdXGcY0p6dYSTbsqK7QLMuxKujrs9nwYYt83NeHN/c56UQGLHianuqa1DW5QwffSbue1FBH7HBaaFv0hXbCIr1IjzRbCKLW/onzpvwQMsD1u1V92d6xL90iOoGSc6HpMjPi4p8HfzI6aGu/bcHspC9h+Q+9hxbv2Gt4t5fEOuKm4oZX3wzJhPnrDjcSZcCLbmSCxOD5cP43OI4Fvta39QO4FMm1KnvOiqtiL49Ompg+LduYPMlNXWpOSNuOx+DSn3JOlKrCRRUnrT3gUuOhjbe9x1xw5BGShuMVGF1ErxpEDamRzaXunQHVvc9izHu+ztmX3i1pTPo8xzY8qPVkVJmfk1+yeiRznOvijiiP+cTAhkWDruspCaGfQltWsycuwXU9v1N+9tsXtmrFnPaR31J+u7d2UapfE4u9l+N6/6GCBr8DTmCJ2wvSqrnXoFOS76pzAyEtxZSgBhq2brDxbVzHwHblvEFRcC/GoEtPsFE+iQYkkcBNRJ2S1ylPBoV0SU/WeQbtJB0YHKQ+DvDsfNSFuR3dVNkneBz7B/Js02L1zz/xLPM31vZChRA7Nm4Inp/ucr2StmHCea8dph++T3S6+jALUn+e6ETurdeKaV8lDPJsok/tTuMJ1bTAXOMhntUCgx4JDOCfKxj0deGT//b9kwQRYTFo1wbEs8P7J0G6lZGVlYX2T8rKyWFxqkP8SsGJig7t1hBVVlbFqagIy4uJyYO7MxTA3RkQx4JsK6YgDnKrqJKSkiiRSIQ4lqioSAQ5FtpfKQxyMhSzu+QYytw4lpMzp90RZyUsY9CNDBSBeeWyLIVQBv0rZhSwWYzCCohj0K9lawD7DNVZVaCLVoEuanoly3I3ZNBNNaQAMSyF9caJQe9qUgA0pqizDI8y6LcS1YDr3cosLZD3zGUJQNY4ddaRWQx6f7kkULNIk9UBcvj9ywoAJy85UdRZn7ut6QwhISCYocmaOxbkvTwxIHqbNituPoOefFwSeHhVjyUbCPLeCgWAkzPVzDRZV4qt6Rc/99OobtosvBDIXamCwLJoPZbLVAaduVMM8AG7W+FKBt2bIfkDv3HmApwcyMmNnJzJyasKKQas9i0MeusrGWDlCR2W/iEG/csHZQCzU5u1LBrk6i1qQIzbJNb22wz6xw51YOYqTdZZJpibBGoAdYxxLFY+g16FmwicUTz3JXn+8VOQv7JlpIf9dZvdtbaWzH5xjfgIkJpV2Uzf6T/ZkbBjsWmLhHqSlZKQE0t1Qv3ncAslidAbVcynp+d1Oro35uYovenNdvFpueNaLN65dvKqDwmRVbsjn09PtpJ0KnzpPKei6t1Th7xcbLdlxaXkbLxC67EnPRYBJ52Yl5bW53/dV+5U11Yr4l+0oLivU71BvqXDNV8yzDemmurjnVcjNvlD8OXJgUXFlcSzgVtbxs1u3HDrOWn50cDpuc8OMMLdNkN8dn5Rh+GQDke/6RArWhsf3WmccUvU4u2qjfyF23ZLprelDnTbP2gqW5bie3CUPZvNujPqL6VXgUxFvGBald+kuSNXcJjicAXavuHJxsbL7L1AZiJ+p7q3rVaYG8S1k/eUq6rxXTbt2PExdstX+551exUihT5h94YMtXqJayXlLCcTMFrenirGjJe2PMb9cFAAh7Df69y0IR2yfiCz4Qnbo+5B7vJaK8qeZF4di61j7nn3cH68rUzeoI9PauhbaQP96OfNy1q8bQRDKzquB+pPI5VmtIFEBRZxjEEV7cGpy00OkBaA+xFfDQ6XiGEmOangteFdijH1ocmyawYcoNnc6+xasVclI9cPW+sC1pbaZ/zyWd0HiOTB9C5mb/uNVNoq8+Yrk5Na+5qx+oOKx0gkl6vb5AZVpj20337K/+rX0II+JlQz3vOrU8vb0lX9B3IZn0Sa/k9cFv4bNeMSXjWjRPKCWRZgzQg/GVdCcaqZfpjHlO7376rB52f767h1dSYMcdnzld+/CwBMmv3/A5d9/y6AjMwwl8mAuw/l5IQF5eShnYcgk2Eh7oLqRiEclh9PATlNlEJRwVEoBGGwWBQjEBSh7wQoDn8nQHHoOwHKyqIkZWUSWVkZWswjSYF7WKSVlKDvBkDxsXO8nj03PuPkJwDkm+mtDDpeYzLQIanOOig0m57E1AJuYNRZ1fKz6WsXawFrQDfpg24iN00CxltrsvYXMuinJDUA4nRN1tY6Bj3nyjjg6yhNllMvg44xHgdIumizKkAuHDOoCoxdps1am82gvz+kCujP1GZ9fMegR6iqAtba2qzNLQy67V2VH7iq/4geSwesYe99lgeo/nqsudcY9HYfeSBwnR5rUxqDPl1QHmDZ6LH2gDJsOyL3A1fVJRizQj0ZdNobCcD2nDHLcB9YC9tLAJl7jVmNIMcUfhIHdD2MWRfiGfQosPtx8gon33DyECc/cfIWJ59tW2PAOv4YtCFWGhAy1WFtqwLvVVMCDqtMYtljZtMzgdHAG6ImawFpNl3nxVhAaWAsaxZlNv3CKk1A6so5JbNFZtKQv3ZOmhg75K8d36d0XxhZlK6WEnTdqSpKJZ/v9CCLntCU32i9cHkbfbLFdPHlSsdsBUKDQ6REgwebsILKnm624vTEqjWGi/IvaRxer5K+bswZ29HU4PuiaXem9dxcp9+XZ1AsUz6B5Lrcsa31rKu1TZDFpYKWA83OGkH+a+/XLzw1QFoT/+pjK/NRx0bywvXTEkYvj3ApWG5/v/qk61RZe7X89Y3zkgbHAoW0l22Xm1m7MnutX4Ydc7V7c6GH9OmJS+WZA5kdUzbUH272f7bGM9pzMLY5LpF4hXp7leTZeq8lHd1XffQ69LdbHL7svUt2pZHY5iNvKMLMBs+trSGe6mqRK3w0ikf1t63Yqv4JsHyZ4VU5rkKJcjv8hG/ryZ1mW/ceK3y0wi1U2OJ2qsfGUUDSo/WfdjdvvStodWDWw9WbitYYrr1vNF4pNX5J2uiotn4HLyJBtvyOZt/GJ6unz+551KQQ4dolN25zG63NxGv9oGVJ4KjIj/FJ+UdmxT36UMdX2z8Ot+7RXR8+GY+LpCkTnzPkrqgvhhiaNG3xmyGvDI3pbxXnCT7hcuyGD/1Rb8hnCoVmuETVrcNKJ1b2PNqEOxL6ItKearHSO0pmiRLdI7jbokpPSL7RW7UVqhZ31grsD3llmrk58th81meA88yptoGQMvw9lRn7BZ4FbQj3V112sFSCYUch7CpU9Yfq0/mHalTu+KoqYNbNnH9GZKbwDR5hbDjGgRFp4P3Y9UPCP+UykSsNTeQWVIVnnMWJbx+e0NV41G1YgT3yVf3Y++3wFwj6Ehb3Z5z3LaKAe2KGK83BoO6TlZ/BenObnMoKk5y0VZ25sds6y++GJqtwfC8gvUu7VbWWtjsCnPJ9AE7m9oIEDb74RlTWTjEE+kjVTFwpuJt0nXtQF+nJ9w01DsMFZ1DroFl3c3PodXNCtI7rwOL1XTEpJHAT6fjswhspVxOBP5CcrwiEFvxEzl6/Qc4mMDmrIsgZIsXB1iaaw1ar4+7ZtbTAdrGzugs+//QD/RaNFKmiqiomhmU1UY9kTKuc+bkqvVcCiPGp6VlaO/zVAHhHTTy4KOajOJtuAu7y+0vJmZ+PQCDwEYlYfgqFj0Qk8omQyXxkEkkZJGNRET4+UYywMDjhK4TDC4Orsnhw/ldMTFQYjwcXdzD8BJCcKQoKBEVw4hYL/q0gL0+QVVRUoCgqKinKyspJSUrKSYBkLScpKUuQkyNIycnJyigpyYAEDX33a6IPxgIR7O1a1JuBtPu3F7RKzw6VBhICrxwqxHkoa9sNpiQuyHE20Y6gvS799JiG1e7tHzN5XKG6A65wTQR2f0KPfu4kGc9TnuUtQR99Va5sKqsiNt0vI3mmNbtJLBlV/76s0uM9Keb20bcUx9CvcXo4raxu/ePdwkbGFU4e51IfZz0dOBNuVsQfgbVdQZ0TKUInmhttJj6MaKr27L50Drv/6jO+uvjyOU4FKg3SUfHEicxPX+7XvF7ll0IPwb5zps5R8luqfKE2Qjl7+le3kopH1edsr21nPS3P+nTi1QS/ZMFnOKJlt77/8vaSlW368/oiEiVD2+38yn2Alv3lc75eqShuWuRSsbjk8yfP5282027PKhqQfbJyjlHRYOPx/aX3aD2HTxZGVDh3XJ4w0EijpZeOr86Zdqdnsl7jnEcNor2mzodbG+eYX1kfXDx2L2XOB6sn9t7Z60jjcgl6vZ0TbYznNb8pHL/445X+4KOHOgLXdnpqWnxMoDUW32cueZqxwdbtljLGb9oNSSbu0HTIK6pSC48gtt4YDRRvCHw/od0/wk66Q0XFsTCKgNn5tNz0QVLncqgXhV2ZvWTolk/fblnQ1rVmwrTx2StFLGTf+oZ8mrBUq+MZUKL+ToYx10sv7lDBofjnZyXWVpyuXuPj5R7en3C8xLsD6GnRUUuRBvov+Rd4bygP6Khnziy9uac9MVBc1qFzKo218tPWA1G2C875F6Y6euOOpH6ZnnNqdeL8N1kDK+edLKupp3YcmS/tHS/p/2VCmW3RzSj5tav6nZKjCk5jekssn39J6G+Nc7mzZMu6zcLH5t6MxyW3Hre40z/3XGqB+bQGFQbhXvRA36Gyu59M7X3DjUynZZepKtSQyISvJ60zFIzCH/b7rLzzoMjrlr0Cxjl9vcu8ognneQzTYYAjLmLHfKUhy+R96+J+rtMLKr3fhvSLEaIqOxrAai1Afw2xqnRGX37T9oD1g5JOBH/y4OYzFuZPjlr3rtrrFbujS1ZKd/RWelPD4LnuOTKPO7eOG+deXRDTL7b+vVpRH7ZXXiYop+5dID6HeSfa9DI+++S7wM85F3EU2S0N69YvLT8VuHADLeNEa4K8/MFeRVut+I0pKZsHmWe/TPFYe70jonRw6c0LCW7M12PDt1cOSNt3O/a2sj5LdtKwrVe+LE4qabTzrT3cz+9EbYnZFtrZq7F8XsCzwKyBo9198uYNxEZSpN7q3PYE646Z0yUYhrWNpUyzNTZvjlXgvpxWisgt7WwsCdxhs/WZ98msDjHcQ8+crs0Ni09Ja9+c5+ccuOXrhrdeE/d3vnWMnnQqvaUo7WN55+dU0YjO3kkvHlS0fD5sUrguL/ZZb2dD3Yc8xvFPMq729l132w0jagdycVUCzLuuBtrTBKKP9Ty5X2HU69VVm88gigl6yMwWP5lIu9CfXlt5uKlDbJWmbXva1PsVbWMMlS+qyJw9a9tZCGw3Kpiudq45YF60QO2qr1Gvhfcd+hozN73DpPK0HHbf7UNnb0mPqj9blNHG3BO32qWnD5eXX1sQ0F2nb/RuO+by8QFCteT5P/FrHHmxN+/+xMDbf4OBZ/wTA2fv9L989VolzcM8dOfyaR9++ldhsoe/hAey5f1F9wXNaHX1RrUQA2dWUQkiIANbj9ZlDUSb0yeA222gHU9/+ZfzyCQcjkSUlhYhi4qShfB4kjQOJwQyrSi4K0lGGtyHSpSSkpWUkJACdy5JysqA+5jk5CTkZGWJkjIywkog28oLCwsrgjuiyDicMMiswjhpaYilMcLy8hgVkJlBJsdQlJWV+fn4lLH80L8IDG6bVVGBYn1xlHcbgoE9bPVMXiypq/e8WVBQ2bYoBNuzNG2OpsdmpWBDT+I7QruXZvnqRtfnVtVAYsztwvTns4iWLsdJSz72GIo8fOvlKvQZ3GXovbGuUyhOeu5WI8vbLZg45ZjtkW98k3YU73XZHhl51tDoHc1pU1YCq2zD56rL/jQ/wc7E+9v0P+Eti1d52SVHG5QWWnp2avU2Z03EneF/GGmYO4P1uXTVVsPx+LMVuDVXdvkaKnc9UMzxNqqqlPLYJHjqplNNZZtDxSt/O5q78vvS2uq1JWM+km08Ng4qjFUZV5oU1+G/zKs3tT81Sgr79cvtL/qJTR+cJ18ZqP7iXTX7HS64bXvkMvxMpYEsdxVXsWa3kqQVRZWnx3TyhYxSuZISuEspb5+7Snh0VfXjT6NqXjhecn9f4K9ypUukh5hs7I77rNerf9P4fCXZdW5f0MKUQ4XjhMbgjhKCcQl8/Vs2j/9yZ7fpB5aD5aorx1xNQl0eaeK2FW+P8m546+E6b7GB/UBx1l47swo+zKTkyMwiK8I5yCtb0tqLh7yi/J2BO4qfUmuOPyg7YSvY6xDj/CCOr2fzrfOxXmejoU4UvtPiDIKAYxk342nGdoUB7lt2+Xcun90bfymzI71V98uht7XFzye+uh9YdGbD4NrDl/3HzIuKnTz5VMAZVf7LdlYX0++7hx5JPZIlaxf+EOI98ubBKNkbVO+oCadsBZ6FNPBdC7mG+wTOvbbW3mq5W6EztzAg4t6Ffto5I5lTaQkemJeLj10p0s0ruE/Cd8SvGrB6GnDp8u3+M580O5gDvUUunjZxnWm1Dsz+mAf9t/1Od1BPLvwi2KlePM76asmmnAMJtw8suJs4GX83+s6M4pX+cy73p3kpdCRHTP2yrmF+YoX7qMK0j6fOmGDMQhxCEuZZz+MxSocBDrjxHw8uH7IMWMCyLeNgDwgqR/bFNnY0llSwmGM88bH3/EefCtwYmBGaC6TdTT3il+hfEvu8Vz6gTa/Nq6hoetAHly/r7DHXfBJwCm5VKgvep0leOoN/p0Ll36cj9zp+a2Opo/3iZsNmYniTa5fK0eo0vH23terAjkDG7t45wd2hHZOTyH53t4e94Ds1ME72ckNJ3z7FvKbV2SkLqaEieXPnfkyZT60rDJBjLvb5MCY84Fyq6PjJxl+CHz1i9U1aluIH1O5/qxPS7bfmTb5AceC6bqE7/qKaB5JVO1ec7lO7X/QF+2JFfPn+zk+lJ3MPEzpSulxoGUJPZhxu/dyx2fT6hBlv7irb67NaT2xiPuzftSnl9RlqK8Xe9YVOUnx0RYANozMhZLtKx3QlrbT57vXvBx4tGu9ev5baEOjw+Uh8f/Otfm+ac6nTBv+iVe1rd3jXXzrYa1D2uCJ+6faiyRc6emtfmuE787VfP/C2aXgTEIrrnLEywrk4umxafG9/d2jvoCv1XbfV2qyAs4svGDouOPuFZt+n3/j6ZFnvYsE5Rq3jqtoDmEVXcm7faqiocJvpGbsw/WZ/4ImKZK+qFzX9qa2OxJ24shKXRasf1lIrjvQX3js2d+6U5PhVm/MOLbbRq+/AYgb9sapR5uUb/kAirjc9lMhJxHc/35kHqQH/8tR3eK/fB258wWBMpKR/2KwM/wQUChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChTc8H8AAAD//wMA 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5L0JPFXd9z9udo3XPE+hSZTMZbjHMc9zmkyVooiUoSiKDFGkFFFCEymVShOOlJIhpRERQslQpsx+51z31O10b5/H//N5/i/1Pa/nPLe7z977rvde++z3Wmuv49DQ0tDQTMEH8okc7HTw/1bYenhu9dHz8fb22SovtcLdb7unz1ZtjcUai5VUlqorLl6qrKi4VF5Kz99rh7+fu/ZWd/8dfm5e8lLW/uu8PNebue+099nivlVbVVVJSWOp+zL19eqqqqrKiozIj/AS+15s5O7j7b7Db+di0M/dlwEuZw6Y/hlWN7/1Hp4B7sobvFl8fN23bvX3W7edYYPbDjekEg6Ho0Mk5JpPQ6MEf8rv5GJnoYf/gUf+ZyJES0M3GkpHow3/AznGpuho+EjI9O77fJHLwhmefHP++YNqObUFk7nLx+HrjKS6SjRhNMDVZdOVuYzh/yHlSG+FpB7IexPmznO2YXvBXTxJwxVOK/3FVGSnINLbftJ1LkRK5EA+0X//OL4QfimaLi/GlpC3NdC/WTG0rJXwa38/rqHf4wVG5k2F0oWh32cdmG7mDV9jO/uIYLDCo997SHV4Lm+4NavBkGsG/Xcbm0DnMxd5AK2Dfk+o+/J6VoP5SqYZrPDo944Dn7aE0ckBfqmeq2clGFRAVHByzaDXsJpa/1FfclaC6WQp7F58dj6ACk4OBr2GBaeuGcE3K8F0RSf4vDOaC6CCk4NBr2HBubpymM1KMNMrlDSACk4OBr2GBZd1uDRrVoL5Eqm+fflBKQAVnBwMeg0L7sHed1dnJZjpm1oMQAX/dWkW+w4GrbO8+Ur/rATzmXgfCJJWMzEKC4AgZjUTA1450+nMSjC9xKnDA6Cgfr1neDALgCDABlbsnJVg2omjzQ6goH6dZuyYe4YH2Kf0aXaS5rSAdAAK6lfN0GGmGTtQtXFL16wEgxqYqOC/gukjYMHVZp+z/GPMGfRAwWDbJTDmfftjzJmfwdABWHBKgi0Cf4w5gx7oPYIFlzDHcv8fY878LDwPxp9hB96m4YNmJZivFMwZ9EB5BQuu7V1v5awEg7I6CurXaSYGYMG55Vnr/jHmzPcWJIBYcCyP7wz+MeYMeqBTDwtOpKY98Y8xZ9ADXRSw4HwGNNpnsQXwszmDHuhyjQUnpyThOSvBoFEZFBR5fyiRYsHJnXHnnZVgfhfRpGyb9RG+ZN18OivBkARFr4VRMjSx4FQOr147K8H8Z838cAHQ7/EZ+xv/UM1gDU06wOyIp8WsBPM7zWA9TfT7Bef39/44zWCtZvS7lxf7klkJ5j/fMz8CGuj3st4Pd/7Qe+aHC4B+p3uHWzgrwfxOM9i4GfpdKHjM+I/TDNafQb83mAjWz0ow/3k1+xGeRb83c+1984euZj+cM/T7XGnv2bml8TvNYHcB0O+TqbGif5xmsJ7m912A7E3RsxLMf+aZH5tN6HdxbSOBP5RnfrjN6Pe3+IuzM272O81g9zTR7x+MnAP/OM1gYwDodyn/ax9mJZj/bAH82DpHv5dmr/zwh1oAPwIa6Hfm1Ouzc5r9TjPYDA30excz264/TjPY6Az6fYFqx6c/brMJPcTDnslwfuP7DupbTt2BWQnmIxHMcmBjxZTcwqWa02DAdc6JHUnFUv0RAxc0oV/6y2pqmJ0btJ6mtbmvazUAFBRSdq+FsbDrHDz1NrV9YDM5ScCCczJsZZmVYKZXKHUABYWUtZdMSXPshsGEqWnmZS8nYMEZPWecnf7MlvJziyMD1EjbgOpEMI6Xk8o+XYXrh/XEDMkoErDg+DmuuMxKMNOsrgqgoIhlovNvPkPAfNYzNG9tIWDB8ehN1MxKMN7Gu66oCKuQ9jRViWCYk3haq1f1E3yHVa40fmghYMGdsc0unJVgpi1hJQAFhZRFqbsa5Cr2E6xVCrncDjUTsOCOtvvkzUowPo8slFrvLiVt0CoRwZSnVWu6HBgnuI6f8tA4V0fAgsuvP/p+VoKZ9h4VARQUUnb33inNOPkJQpjZupux8LTCgpuYd212Ls2tcaCHTOFiUvKcIhFM6sdbanww418IThwzam4hYMHt+jx3dsaaUTMGBUVHwXzBgluiG7NhVoL5fpVCkjZ6rKc32vpk3w9wd49b1f5BhuZKbZXqiaL3uX16iCZ+6Wlc4fwfk9WEe0MfwBfOCgxvP0t3qA0B8zM42a1emX9MVtNKV5dy4SZW4Ev4dkM93bcELDgWti/b/pispqNaLEtfHcADGnuY7uFfvCdgwW2NsLn5xyRpe3OMzdvuhQfeyB3N7G6HGR8DLo5XxO2PSdKW0hSeu1dGGNB4vONBKcwrWHBfBVpXzUownRSympjyqzKiYTA0wMQb8TZlAhbcSKPAjlkJBt3aQ0EhZevED4l69QkANNBLfjGcJgELrm541dZZCeYDaQf5+34lXKaFu5OTMSoAhDnvY96kdIGABXdV4gbDrATTRUpUQEEhZZ+Pr/BvSYUZHxi/Yh55n4AFpwHpX5qVYFAzBgVFR8F8wYJbztjMRQ4mIpGpDHl48500SUBZMoTitP8cYRuKEHmYFDmQB1MZ/guETJQrEg80Ooj9RH5PRVlZObFTFErcmOffxWMOnEhJEVbz5wWQ8oFwMUibe7VGKr05UFVZWWlnPF2+Qlwc6rjLMGYyYIaMXNg20enyWzfFkX4Khz+YAfBX5fgeHoBXnZ0iH1TR/PPBSsIO1v/SukXTpJAyaiDQchflkLVTT6ZBN8zlBzYwO9bPSnAkKxciGYgQ3W80jbTBARxI+adobVOkPIV+ETswwuR2claCo2TKb9q4sf25FBf0MKVlYAmjKVFjze9ZqU5LZ1ZWrVkJjpJpD9975qd5iOD0z06YADDYjcblbAA10OMfxrfOSnCUTH1E6NM8HNBwJT/XzQoT4kKztpoFoAZajsfv6qwER8n0R8B5ChPvrZQtVSbEe+3DCRaAGuiOS1nKsxIcJVcAEbr5DSuiIbHss0RwYbuv4gBqoHlvlYfPSnCUXAMUHAzidl7sNAghKQ6AGuizugu/zUpwlFwFZOFw0ONFwNF2rDJFVsX8U11cADXQwukXqmYlOEquAzL9crWI4JqfrzYlgrhTwgVQA32FhqN8VoJro+BKIBryh/ggeRoTTdlj0yDWNnEB1EA38pvyzUpwaA40CpLUX9idOj5kVQTEEqctEfnD3AA10MOsiemzGNzPz4NSsyGpgU775p04m8H9lH+A2pYwCL7+YTMieYfn8gPUbE4366XesxgcHYSCJIHL32c3fW/Fl5sSp2O78rRXQAl07D7f2UnipHuNBI6O6BUg0y1flRe5t2R4q4nTT3jnFm6AGujAWrW2WQmOtEpCKEikDLH2Da9xIxpa+TZxGgSnBTdADXQB79ZNsxIcid9ImuNBNScscY8b0VDG6sPTS/6qeG6AGugr/OWPZyU4kmUCoSBRnksCmBENbc+6bULUmLsCJ0AN9Le3m4dnJTiSTUmalmJYcLVptSbEhaSiiOjyUATdI3F796wER/IGIBQkybbcWCFINJDjHsBOKfKdqY0VoAZ62ZEx01kJjuTHke45aSI45JjPwYrcWxeG6abvrafLiZ44RdDRUXUlsxIcyQOHUJBof2GSHAgIr88q0+EEeRUOgBpoaYGcpFkJDo16oSDR/ihFuaiBzpCT76ME7o8O8lIyz5AgLwz+VcYnMyA6OhqXEcr/PciLePDWdWaAvr7+gyLb6XJKNmySQ/mxv2mwKFo+MtLSmZ0veSGWxnm0fAWmwL27d+9emOAGeLi5D9uu5IP2OpySSj5jClzMycnZ/IibqmG/9LjA6b9msKhZUsggmNwmli/aetcUCAoM/PZAi5s4aE1aRFdOufyCKbDCweElFyd1F281nWXzXzNY1CyzGPi+K1TlgV7l9O+XDyOCVz4pwQ00vnv3TuU2D3Q9+ll+qPf0DFr0hbqzzxozwv/XDBY1Sw8eLFykDg9SXtK4xxSAmbZdZBU3cYZ1Q8Ty5nVe04PbIM1NNeyzozpQ5q8ZLGqWYzVcvmo7DrKU3qJqm2OCrFXcGbXTUUzxcyyQr/7BbzSpJsjCH92wk4NqAFCAuafhbxysnyxRdLBgdjtm9sAEkIYXfCZ3lu+DBQ/KqtHrJgA8htwgGwvVUHDmerHuv2awqFm28MLt4CDEhqxNmuN9JkBvT0/PaAArYiroNwmxQ1mBUKfyexPktgzsxbFS3RTouunb9dcMFjVLGbntRjnZkHKpg1+IM0vavoSV+FnFxY6UJ89pnB6sN0asVLeHph48uPNXDRYlyxthvc1zOJHy63ukp1lP9S470XRwkMEj5ePcXNOEQADZqW4UxiqbVf5Vg0XJffkC33aHAU7iDILkTBEjVXr4HhvQBA+iqC4eWcsMhwVNgVzYHuuypL5lPKaR1UI+WL2VoYxIogtegDQAnGQjmEJhBAUfuxq1ko3gxQWHipARdKOlMIKIQ4Z+/v85kpSyB3C/GV1q4Wtqo04taYaaNqgl08w0m0GAZic3pan+RysKPdDNFNx/yFb6nYNLKYvpd44vpeym3znE/zRhKOomr+Nfpyjsbhe5oigohOpeCiWFUHO6qSmEmjM+090328DMU3+pon7suZIURVEh1Bx7agqh5vBTUwi1QAA1hVALEHQW7mT86xSF3flHFEVNIdSCCtQUQi3YQE0h1IIQM81EWDMai//rFIXNP8H9ftORWkCDokKoBTqoKYRaAGSm+TAOyc+F/zpFYbOgSHcURYVQC6ZQUwi1IAs1hVALvsw0KwtyYqr66xSFzcVDFEVNIf8pkINVyH8K8FCKhv0u8PNPcwMzTywz/+sUhc0IxSjqJ4VQCyJRUwi14BI1hVALOs00Q3W5HM+nv05R2LxkRFHUFEItgEVNIdQCW9QU8ruA10zypCNXz9n21ykKmx2PRiYoKYRa8IyaQqgF1agphFqwbabZ+heWxJ3+6xSFfUYD9x+SJyiFlqgphFpoiZpCqIWWZvrMiODEoVRKipqg+VVRTS9eWxp9quUubptW1PbXb74hinpIus5N7Ucgxr6zwfc+FItZPqOLa2kn7KmHNvk/qCHQnJ73xvbCqM5A13BNJP2rYjXRkYey7D0E7yH1QXOXj4RcVaGNp4NaCb52Cw/LRFVSLd/ov9rxnaM2FHS+stkh/2tx67lIbR91fiCY77JR866I4vtX7FSfqLUS/uP1JepV/7PBoBazWpB97Tw8GIQ999I2729pL96ltcsl5UFNMS20z8ZgNQ2BdsLhViY8GGGrQ7Ml4cFwrUjrh0EXa9Nr6MGgi8fmjcrMjaosplaeft3Jo6NHGzC9ZRqWLnSl+HC1bm7reuHvYOVar81/q9FK+E/XVdyHOMkHIzg5zRYJDX8ixaW5hEgXqAElT+1Bwsjko0otgEZPVgf590bNxfL5fA46v3vWC6mHnIhcMmS/g5RRux3Q+ozwiTzTWd14UHl5iKkOmjVDaa2jJ9VHlo858NkjtS5zY220DlJGjcjoSfWZ4VMKPhVeuTJ2J4XqIGXUrBR6Un1keZFE5NQ/my92OFIHKaNmgtKT6rPApwTZGJBIn6J/QU+qzwqf4vD5sUvphJvTFh2kjJrzSE+qzwafYvAZguue4rfZpoOUUYsM0JPqs8OnKHy2dxufkcF76iBl1MI+9KT6HPApAp9njiSEczR76SBl1GJ69KT6yNwRJhsDjt/EJelJcxNPauP3IH+1jetKHc7fhMiIL4NFbgCSbBybFwgfynXVwf8mWkNPqs9NGoOg+VwT+/JidLh+EzigJ9XnIY014/CncN8qLx3u3/iw9KT6vCSdogfPb9wpelJ9PtLcqW4N8L6TtU+H9zeWPT2pPj9pjqIH32+MTHpSfQHSvfBFbVtU8fm9OkgZNXuHnlRfkHTPmZZkdJyf2qEj8BvqpSfVFyLd2/mdxg9aPwfrCKL3BAVapifVpyOtIR8N14/GP9+r03NU5SSy6C1EJjj64DelA7UTaEgTELVP6H5TF6lHsnG+H2hQHSlnJ7VH/q2JDNBxtylLvIMOti557iT2CWCkTJB0HQGphQxkKd0c2uq9Oti66EJKQ+VhWxQXskgqksmDrUu+WYq1mZD+UXmRhXMpfN6o2qW0w99UB1sXuY6cNBSMZKR/tC9kMUVe1Tx26rMhR1W0DrYuE5nNh/WKGMnsSWSBVSbrB1sXuY6cNBTcYKR/RlI/xPg6fKYFcmo7xkbqUHKZUdsRG/dA+mci9YMsxKpk/WDrItdZfhrnnwNdzKR+kLmrBp+77iswrFuxRQdbF7lOmt+/RDaR/nGkfpAFWx0+Txhs07tgvk0HWxe5TlrUfwllI/2zkPpB5rUGWT/Yush19p/k+bF3gfTPSuoHWdiRt2kzjwQ/znnrpYOti1znwNwraB2kfzYy42T5L/38qMtJZsBgn4JC+0f6QQhAGz7NGp54869eqYOti1zH/4zr+wNHSP8cpH4QUkBucqg92df0gqsOti5ynevncf7+bA/SPyepH4QokAXpHP7liq8XYnSwdZHr3D/r/ftjNEj/eFI/CHkAZP1g6yLXeX6eh9+fWEH65yL1gxCKLny+rOqq5Cnz0sHWRa7z/oTrx8MhSP/cpH4QkgHh02aklX/o1D4dbF3kOmqmY5/DQPrnIfWDEI8eWT/Yush1lJywjzwg/fOS+kHISB8+dwrLZGhmwaSBqYtcRwkL+3QB0j8fqR9knTYg6wdbF7mOkhg2kR/pn5/UD0JkhvB5Y87Ce8UfgnWwdZHrqPGOzZlH+hcg9YMYREZkfIGtK4wxtMi5jYOMv0RIRg8NlbrIdREq1zjJ7lMxjFGDrStK4XfQa3iydUMCY7Rg6yK/I0blGhfZOiZFMkqo9SNOQV70GjfZuiqNcVywdSUwRj35NR6ydR6xTeb+ph9JCrjRa7xkvDMPPuf/ph8EtxSVa3xkPLgAPhf+pp85FMYPvcZPxsty8LnoN/0g4ydN5ZoAmZ0gD58Kv+lHhoIe0GuoDYWci+FzyW/6KfeUMSQajSRlcBn/pjL6HTUEUQMLaxj+ru0/PbAGJ/r+WrQcJV3UOPudDGjbmcqAfdAHazijn6hhR/MvjAO5oUtD9uI7VC50kUWN5t8daNuZyoAayVjjGZ2s5PMBNYKxB7btf/rN5+LKpwqH26bQT9TAxhre5MY1uQyocUd+YNvOVAbUOMca7ahhTh5FYiQzVMkPbNuZyoAa9liDHzXqGTAyoEY3+YFtO1MZUKcA6yygDgEjRgbUgSA/sG1nKgPqUFDajEXlIJcBdYbID2zbmcqAOiPYF7iijggzRgZKawS27UxlQB0Z7HtXUScGh5GB0v2JbTtTGVAnCPu6VNQBYsHI8Gt28q9tZyoD6kBhX9qOOk+sGBkorZXYtjOVAXW+sO9aRw1MNowMlAIu2LYzlQF13LDrLeq00WD4gvZfWKtRpw+73qIOH7kjSr52/y/XatRhxK63qLPIiZGB/l9Yq1FnE7veoo4mHiMDw7+wVqOOKvb136iTyoWRgdL6gG07UxlQJxf71m7UweXGyEBpncS2nakMqIOMXW9R55gHIwPzv7BWo841dr1FHWtejAy4f2GtRh1z7HqLOuV8GBlY/oW1GnXqsW+kRh16fowMlOwobNuZyoAGBLAvkkbkQuUgl4GSPYltO1MZsMEE1EdA5EI5g+a3iQS/tp2pDGggAvvKJmGyXS1yH4cSX2DbzlQGbBCDPNiCBlXIx4H+XxgHNACCxSJC+n1OzDjQ/QvjgA2ekAeL0KAQ+ThQ4gts25nKgAZesFhESb+Px4wD/b8wDtigDXmwCw1qkY8DNZ+TvO1MZUADPlgsYqTf58KMA8O/MA7YYBF5sA4NypGPwz9JFpqpDGigCYtFnPT73JhxYPwXxgEJFspSCTaiQUXycaDE3di2M5UBiY/NpYBFgvR7PJhxYPoXxgEJds6jgAW5X9GgKPk4ULIfsG1nKgMSbJ1PAYsk6fd5MePA/C+MAxKsXUABC7JmoEFd8nGgZMNg285UBiRYvJACFinS7/NhxgH3L4wDEmyWo4AFWbfQoDT5OFCyo7BtZyoDEuxeRAHLHNJv8mPGgeVfGAckWC5PAQuydqJBdfJxoGTLYdvOVAYkWK9AAQsiA5oZQj4OrP/COCDB/sUUsCDrN7opQD4ONP/COCCbDUsoYJEh2zgkHwe2f2EckIQPxX8Yr0Y3+f/XMRAkWWQphRduUopX01CRAdt2pjIgiSZKFN6TSSleTU0GbNuZyoAkqShTeL0lpXg1NRmwbWcqA5LgokLhrZSU4tXUZMC2nakMSHKMKoWXSVKKV1OTAdt2pjIgiTVqFN4BSSleTU0GbNuZyoAk5ahTeHUjpXg1NRmwbWcqA5LQo0HhjYuU4tXUZMC2nakMSDLQMgovSqQUr6YmA7btTGVAEomWU3i/IaV4NTUZsG1nKgOSLKhJ4bWElPZ5qcmAbTtTGZBEQ+Sk9jZB8j1WNJmL2oG2nakMSDKW9j+M29NQkeG/5SwkkUvnH8btqcnw38btkYEj/MO4PTUZ/tu4PdIA+Idxe2oy/LdxeyT5TJfCPimluD01Gf7bPVYkcQ2ksE9KKW5PTYb/do8VSXpDzs5/ELenJgO27UxlQBLmkBObREopbk9NBmzbmcqAJNsZUHh5G6W4PTUZsG1nKgOSqGdI4Z1rlOL21GTAtp2pDEiSnxGFV6VRittTkwHbdqYyHGqovogkTbHQkf3lKRqSMbuYLFhPvsFKSyrHk31Hgqoo0aFOGfqoBtKnONk1dIMQuenESMAkyR4/QgPCyA0hQSLKOWS/ixrbyGSVIpG7DOk6mpzAQJpI0iQDZC7pOhrIQR16WZKRNJ90HX0EiIGkgHmk7wtJ19HHfRhISlpAarOIdB19tAe5LkQKajCRHGpassd4kOvCJGefkeRo0pI9ssNOcvw0SYbNMpKhp04yfFVJjoAyyTFaSmZkoEaPFmmCGZJuOH3SAgSSFmSARFA6JMKmJbVt9/FsQSbFMtKk4EYnBaUdE1Tp2Cw31DvFZp6hEwm7U41m32F3A9CMOGzGB7qDg41QMpMpkjxihyNTIHkEi4VMceQRHVYyhZFHONjIFEXu8bOTKQD9Nw3ZrhOa1fG77L6/6ci/lreGL+jgPN/34tCUiOWB4P0mQOp9t3NcITggIVcXL9vNBB1n35kqIWwOBIYFTZ57xA8gk26B13R7WuQRUFfmXx8B/YB5BFThtuha5BHQBaS6qnNIywrDRGavyYFH0/brQC/hUuGyS22pnYR6jfkVBie6Cdj4ENbm/L5HQXql+JMb3VDQQmuQjtkR0KDZDHkddwVvZ6fCd1EY3Nf3E471fD9/KpuCD1oE4jHSDxNJhtLjSMihoCf2uUVN5BfrG7WWsEeUfoepkOMrwvTnTWI74n2HPGyVkvKJQEP8bZRUyNfa6duTyYntyiLlqjj0KgsTI46VmYmFnQXHxsHKwk5LIyJCR8vIxEgrIsIoKiYmhmNkxImJi4uIMjLSMwsz0NMxMTOzCggyCwoJCTMLCeEk2NjY2fBcbBKSkng2SSkpTjxegJWfn5WDn5+Dj5+fj4OXl4Obh5eLm4MdJy4hEQf/aJ9a7RaimKmkIQmqo42j3T4JwMNt1GUDiq90A7SS4iHO4w5gz6sAYJVcDvRSdxX4Xi4S8C9+AJ3sWgsadyYAifZN0AZYPVdh9UTeS4TiFzmAvG47AMvAS1BM/UpwwVQEIKD0GAqPXQs+rIoHnrYmQVyQPbjs8zZA78EVSMt/JehTGw7cPFMBecitBcGrhwAhthQowd4edPb3ATS4r0O9nCvBgvP7AEfBp5Bl+Rqw+OhB4DjTXigMniKs8BRZp5QGcX+yAyOmvAB55wIo64IjOBW8F/gW8xxS8VgDagXFAffhKVU23wXcteM4kPbpM3THwQWUGjsOBIh3QpfCXcBHe5MBa5uPUMZVF3ArLgWQ298OJTW5gPzxKQDD7Q9QDIcreI//BNDY1QKFaLqC69NOALekmiFfT1eQVSYVaKT1hnrybcBRDlcghN4XSgq2Ad+UOgPCjNshLT0b8OZOJ6CAKQBqZbUBjyxZCzjgdkKxz63BbW2rgX6WEEjphDVomboKOMwWCr11swblbVYCOp23AFsz9VeIvq693yFB1JfNd33x1xCMQRu+R9sMYjLPSqlaeHoG8T0Q3cVlL8gnbRBx5XRJ4qTU4jk+O3Fz9r5YGWtoYK9va3f/0oXgxI8G4VwWbS1HeTiFOdX0pQwmGnTWFq2tXvb1BvOTlctEV9r7539O1nqXliRor+1/8sy1k/kKyeI7PW5EKS/RslNMrH349um9nLwlkrbzR+Uab3jsu/YR/74gj7svA38/Y1wiyTttt5qoRRa/yvkrPCsusFngOL/11iw7wbT2zaHDghxRFx/qyi3TiIUSpxI3C1TTJW/3VLcwGZgX1LXQVG1A3WOxNM/JjPiSI5GCzQF+r16PP1rNl++7ZPz8vQMaXWHK2/kP71P4MtYe9fi+uO9CF8F4X817TaMKcr5s8lYTrPQB6vfbB7S9329V2ohLazjMhC+ZbFDY3+x262taFksQ36nL3OVXRDlvslwrbfV1uiPN2xU+RcsUUai/bE+zAQ4e2C0vzO4TR/kw6eYNqlOtLmEJt+aKcFv0+CWr1jz+6EZ+9mgp3D74vze6V+i3XNl3tPlZuHQkgwVzdsk4fe9ASWXw3S0cJ0Mn5hX149wT3vZ5GOF7r35OmfxW/kJGO5Hgst9P1qgv4NJRmWWrp3YX3LaJHzCO71K2NFMYiTp+6Wjlo48nzXqgPVaqTcaH7ulNztle01B6ipfvnpej8Zzlh9BFiNJChrxWeJHF5lwigsrvCNa7hoV1OC3JF02+LnZ6LdONl3PP51Xqf6m1nHr9XOVFZP/xwp7OHO297wltAsH+S50flZS713/yORbV7TbqFpK8R0jyXBNjZTG7I7619EXpsOKgsCcvB8HpLv33gsuuE/HdbpPhX9EGToTK0LsXuwnexQM01U8j6phbo5yc1jre30ZfHbj/jmQZnvYigb5jk24pfdk3hn71rE9Nce2Tpb57lr3QEmri2CwZh9+Oh88lcaFinZJCkjR+r/uvzKm0cEZwnSEbAEqDME/Sb87v/2AG9vjf10PkOmpl3AB/MJTtYv7pTy4Q/1Qv0z8n2zZGMrKVICPb64scDYzOPSOYvHOt/9jfROA2d0/Z39nyC9mi39Gn/kBBzgaj5hZCHd2zMeQTIdt+R2fQD14ZD8CrOUK20hsu/a1ky87MxMaBY2bnghkT5kMuWhpBQUYmQUFaQSYmNiFWViE2+JNVWJhRiImJiZmOFidFT08vxQCTLjMOJ8nCguPglJTCsbDghUVEuPC8fKJ4ERFeUR4eUV48no+fm0uCg5ubQ4KTU4JbXFycW0yMm19ATBjPxoYs4qV+hAqiuFbfF3HxKosFpW5izF9iM5PWLji8euGTvXX8gwP+92nb2obGJ6/GGh+N/jDX4pL40eehPteqIt8+eP5ky6kAwDTbwLYxaqejn4hBcX3Hl90pm+/ZbnTSk/3IYzfV41lrnfrZDX/cMyj5S773wvsfv0nXX7V6rLwktuL1GlX7yxlV3RvW1KqOi2x8uyvNVTJ5/dgmlnMf6DSf62ps5ozlqQg/UST9wXz5myIut8HAyMLnVhc+DVwNzMF96+jvKpW/b+xvPMCvdfHScvDz+dTdCVbDh52HyrMi9vBxXf2YWrdoHvtQZ9fwcf2hk7G7Cxddff7erbheNicp/eTmw8ZHmR7e+WroX7BFke+Ofp0huEpZ1atDw2C3nu1OmYjL7MyhCvG8Q4+67k8MZKql4sqOVk9eMX6TqVvdcNkkWe7YreBdMtsE1rRUnTQFn22LLqbjBHsNVo7T8qa9kLfRMrVCxvjuRu3XxDHeRZoSQXVONbc5whRp9J4t9PiUvPdQsNqrdayHEi66cvOUHy56rm1wkzfaJdDcgnAnQBLsS+s6srvNIMDP+FBn0cfVHzzP98gZtXHcYdo5alDQkPTUZ4PEzqSKyZjxmEqHZb0+dfJN7hcDBbZPRd7uf191fa9C2lQ3fo5nzkOflyHlCKP0reHlIooT/10c7aoMTl03oUfNZxK81J7cjrDTz98u3V2ZwaLmwMWwKpEhVTom56Ivi1rge1Z7rd4hE6vhqcbei51uS++EHOjsmHi1YGT5zfvt58Tb87eOhJhnZR1a3nlhTbXjMxsjcf8Xha/vvvE8v7uG8EC7+7pyd4/VyW073u7kds73/ig+NG+s+BOh8+PiwtIlBXPXCzuJ84dQue2m70n4Dko8m1hKlP/cd/nXu0KcjVfPh3Tt8S+XSJrCVYc+URjqXDcuqjJiNXR5cb1laL4Wu2DUV7f2jD7JkhHFfus2t3YnQ+VepRM7jz+rvBu3sdH91k6URV7HPwll6MjqDI3bOLVeZUwy6+2UkB4hJ1SttCqWvj6QqRp/+86tyxGtTGnpLP74uOLzdZO1Q2Z4xWHFfmWb8f5yHfbNEnHprDfw77QVdWg8mT5/Ui9/4v8HMsXUIRuOX5gibAZumTG5WyZOxhQXaVwHdTrbCasYjeMVbV8SAMOilJ2m9b8wBfa58Doz10fpi1oJ1QelbVoc2YhuWV2CPegUEwdwpp2AMh65/M1MwcrEyMLGzMSKuGScbKwctDR8fNNuGR8fI7+AAKMACwsfP+KSSRFdMilmSUkJSWZmCTZxcWY2CQkBmCXYWQSFcIIsLDDRcLMLc3EJ47m4hITZ2dk4xcQ5YddOlFNEhJNHRISHV0SEm4eTA1nB8plzlSi5ZoirlQIPuQg85NvnVUPPPZzAZr9zgP3wPYiddQ14YW86oPrkImRwEXapEpIBAVhFoeYrQLX0w4BR2jNoEc4JPOB4FrhqBkFnzqwGjVaeAkTHLkMSuitBxlXHiS7PE7wLGGpyERDjeQmFn18LKmudAfDppZA2YTXYvvgkQCd/Dfr2yhE8MecY8DXqDdRguBZskMoCvPvKoFdvV4H7GdOAT2tvQDVejuCSzqNEt2sMNi4+LM4GyibqIdX2NWAEYyZQYfAE2rpjFSjbcAJ4evAWdIHOEXx47Qjw4uU5qAWeYu7wFEPcq7MpLuCOd7lEt+vqFhewakUu0R0r1HYB59VcJLpsr5qdwTf3c4iuXEu+M6iklUN08Xr3O4OxN7KBNMuz0IrH9qCk/EFgw6MsqHzKHnxbfRBQADIhbXUH8Mi2Q8DgrdPQ1a0OoCVfPFC4NB2SPecA4grigf05J6Hkdw7g/VUJgIVMGsTGvwIMGU8AFj9/uGuXaZ05oi/VwtS1RH1t/64vjhqzBQ9g1+zrfkbbxtIa9vCyLLdx7Xlqd6IPjhgdU3JeL206cfboAhPhqitci9QWxO/XEI4Pfnz4ofwGXdMNK4PMj4IL2A7kj8kXTfR82pNUbazK45HvxJt0QGKQBXhpaRHh6P8+i/vjNQfep8dWMShbO8bOs/Qy0jjKPFB7Jib/Im6tCcOod23EjSJap2zArmHMqdbjCd2TD86bCiqeCUnR97K9TrdPDLt5SzLZ9usrhjN+TXPn1xzhGKjJjbk+Of+TGVNncyT45KqO+II40TXtQkVtNAp+vP3bCjQl8R+aNTlK7LKFwq7dKnZefL+UXYpQvGWrWNlqtoQjY07feBoF6CaWqdi80FzMYQPwhjz9+jgsxC3w2jt/y4VZe+Xe5O1+aHuQcbR9d+9Vm86WsOq374ashV3z8pfsu+jRWsU3yexTJWIpQJN0talA/Yszrd8V/7c68m74a1kCATVH8CqPJlW6mw/ye6TvvuoXdruLZkzS1QtqqeXfYYdQbcxSEVGiHhJJt3hQ3Ri3x9YmpW1J70Lm2yi+OzJUyanf5OfCcG4i3KvLta/Foh7qkxKRxWeG0gzmyS9nOMb8TGonF0diVMya+en0seEeCRrRTJ80RUPY5PGZutNVdYf2eSTc2X5SFFKpLIrI0XYdtXvFosihnDd3lPVBobWILGembieg8lhbSuSMpH54Jf0zqX7a7JodmTfdrTu+r+1U2Ha7lYotEcLDn7y3wK6Fkndddl+L8hN23taz+2LBgGba1NE1XS8fDhN8J6PU+tdddGZiZuKbMOc8NM2/Xvha2DsbgL2ziWrXSffg5AlFHXNC3HTp+bMWKuM7ujnXasfh7RAn7u6+QUJkPTOpgaJOwIS59eRGlX7O0pEU17Gn0Miko+DrJN+GsP4tGT3hX7/Z14fW7flEmxYqtv/ph4SYTInHRkvxApPHn71I193e66ZBEHgIi0IzYM0sZCPYX/QHkvE68bNBv5Bx+gzIeBOWjAue3DvaYPyC4ABxZ5w2efVdqDT6twtlmwuokPGPP/aCkrHQ473vne6UExrglRIh48bRSCDpUgqU4bsC1IFX+v9DZMzIREfLx0hLywjHOFkQRoYJV5AFh6NnlpSadtngOCkcE5VghuOjcKwUIWFhdiEhmIXxwlzs7AjhIkQsxikqipA2QsY8IpycCBkLsrOwIIu718Y96ymRMTm5BrqegCIdVoBrOBOAt7InoDjnFWDY7kOA5qcU6MimFeCZrjjgJKyiFFhF5WtigVzfk5BbuwOo9uIQUKt2EpLrdQCzLQ8Co+NpUN83B1C8PPYnQmoOOw1pBTqAXCcOAlXGp6FHoQ7gc8k44DbXacg22gFMOnsAEDicBQniHMDPLnHAo9VZ0AYuB3D8ywFgp2wWdE3IAeTYF/MTuZplnIP6ku3Bh3NjgRKvcxBdhj04934MoKFxDuLJtgf3O0cDl+nPQdJX7cF2eIqRkx85KZKTJTmhkhMtOQF3BZ2BY7X2IF1UFCDXkwnRzHEAJXijAY/1GVDvSgdQMz0aOPcmHXqX4AA6LooBWi1OQZWPHcAdBTHAnNI06C7NCjBB7wDgopEK5WisAHOfHgC4dQrxMspZooi+NKruZRH1deQHGSdYGNduE3pUUD7kuE7vTleian3bWwM+uvKIjm1nt8ZcHElMrODYHMSrG7JsMxPLzmguWUYfmeUeO6IfN4XHs0csWMoTn21tvH17VaGGy5ezTYNsTUvSnxbkhX+xENjgudOqSkfqusTekFSTnBtjEVmbpIqZbDszDyu6Dxm/Ks7LEcWlC0ksbfB8+c5S4zB9drx4ThFN8+D6hG9LDmx+bDXcJvZgpMvYQC9if7FU02dzsY/S9p4J3Yy8r29yH+rQ7VusfHc1S6oV8ORclVajnpBZGHtv3Zux6C/dhATROeEKuvez6R6/5giXsQE7BKKVutay8zaO0Nv2N1TbxbOUBp9orqxW11Rdw3TG70FJ+o3Xd/USbueGh+/KN+mozonrC+SdN6S757LAC7134hb7QoJ25jgPbn7klHArL8JROkIyNDz3W/2bINOgK/S2RSvL0lW27x8qHBxlfbQG98hSl2ni7L1L70I/NjW8zl3bKXPdZd8tdrb1vM3eE833X7Kpbou/kv9A5khg/MtzxxXXDRr76ZyfpF9uXlD2UjrMHiFrzYWN7kQ9xf5gusF3Gx7RMNxo/AwNOD51cF3+er1w8p7Om7jFeY9vNzEh3NsndYL/gsvh2kYBaR8ftsMFBfsf6z3wuTMY/lBXxVhMX2+gO6qzHv+yQDLHp1jhsTMXh6rkZvyDotSt465fc2t33uTSeXCvuLOiZNQVqR7+QrcyP+pAf2llwd4D9TQ0a/mdlnrg35Z9X/SpsLTgg89DRNkrKLD00mXAbXaf5fM+NPlv2t/vQqTro+LVoc8Gle7ujWEjOcta8eFZFTdrm+Tx9SjpmhcrJ4e+ldiIsjRS6kkp1No8VDLdgBAXf1my3QUXqnxiZ1TzuPmViU3vx89cjP1sqrH1dHnT3n6r70TN8CTqrSONA741Srcq/Gvh6Wb61tIuI3+Yq13oO+GILc1hp4F53/Y9tf8DuTrhSQf7L1ztMQOuVsTuZy7ewyfx8k0L4crmxOrdL9q+h1iLBw590Rj6NcSK/QNvUe2PQyIWtBIaC/20vOVbCTfhhTT+lS34mCMSkEs8SOTqZzAR/J/Zz+TlnXaceXkRruZH9jNhuublQ5xnmKthnkb4mplVQlKCVVycDScgSNzPhDkbzyYkLAzvZ4qzwvugrBwcHIjTzCEiwsGNOMxwCBaO4SLrft2x4+OUeJqcd++fOwbNG3UAByRigY70I9C1cAdQquUAwJ6SAOlwOIBmMI8qweqpOGYPBngcAITupUBaBxxASeYDAP7GMaiQ1wG8/CQGYL58BNI+aQ/qHIoBfJ6lQbYiDqBpbzSg8SQFepRlD2rnRwO0pccgLQV7UDEwGnjYng555tiD/q+jANemNOi5sj1YmRoFjL1OgTQL7UAZ16ifuFZ0PBMKXW4Pni6OBKIH0qGGUjtwTUQkMNiVBi23sAP5TSKBdW0p0HF4StXAU4qcC8k5kpw7yTmVnGvJOZicm8dXJ0MnOe3AuSmRwLGaY9AZQztwl2wUoGiYBOXssQOr86KAJ3ePQFdvwvJrRgMbliZCBT12YFBZNDB5LgEqmmcPVtnEAMli8dADZ3tQ+l0M8GhrURiYWA8g+vrMeOcrUV/OZE6z9gIGX6FHX+8lbfgy7r2jdOESYd/bU9tvlxJul3gLlHJIh9t2MFUM9j5fWl6/Sp6vYm4P0zL1N3s+3Cu77+rLzbLUptF2+dMhcR1t7af5X/Q+4nYpdt803IRztMSvqM8tP8hzPy9ux3nVq0zgtsirTd4WVXqMxzLjYiW22DZF9BuVXRou8r7/eF6rU4iOrM79BQNrsur4qxPZo16f6BKco1LmsfRV3FmWNh3D48lfIu4/XCCz4Nyr81xuhsaVg/MzluctXXzudC5PD7eh+Zr84NO+HevkD8SX8W3co/rqYb5jhurFqzKT3eEJqS81WFdutz17ereEbFsZ4e35t80l2TsqwsD1p75Ka2tk1/g+XZA00s/yST7LcleHdaVI6ZLd/bk1Kg+FEhvvyt42k1nY37qGQWxLpQlza0RlluHKuoWhxvxLd51Np4uIONKc2Hhhfq4Qkwn+ONexsTafvqeh3hcvz22j0zyCUK7Renw7ccgP/QhFP81gpbPhYqzZoLSKT5eLQdd6PGK3RWz5FG8pfAuKqHlxbQjvep1sLjDIrlW7N7ij6kvOI0Xv+PTM0dudu2IGCyUFqqS6LmcNFFlknj816qQdm+b3BN9h8OGo3aT8623xuzpTgr8NdWu0N7i9NdcbG7lTqRd8e5nC1K4l55ftMgruC+0T30OrZuSntyGc7xKV1Wl66YIXGrcSxYNE8Z/8xLrnG9blLS7r14BZNz44Tenot76SEcm6ythLuxjfj4+3FhnGB7LdH+l9Y6cTUMzj5xvwNmA0tc0tmLivKVkW9SmQtn9J6UuEW2FG3b26Tr/U6nUPhBYULlo5tT44ecp1eiNUsszoNb5fMqJYuOoevF85782ksm+R+osJxT1vXj70nyum/n485EKw23jry6H0my67wkqi3rpwwKxrpFel59/krlHM0ilhP1LqW8T0ggBHq9m1e9+48PXO+QNJd+fx9Vd+Id2DMyBdB3LSRXIXow5nHio784SgpVW95tu3iu9CcUcYcVN3kH8kx1YJns9HHGSdRx8vvWC4SigQOQEpPv1BurXwql6zK+7/YLSaH41W/9NINRc7TLpwpPrnKDXv9wi1yiaDaqJ4x38s3tUVZvbbhJjer1iY1H5OgN9ElUm3Zv8+IPp1gVDEgo8hxav19Z0FEhftl984x12jQ0lcq6qkNW0vLlP6zImIxeyGu2Ojrc/Py/bISLb+UMa9plLu4ani98vSBv2VlLo+9ylO1by29bi17Vnpycy8NuiLsxWTwlyX87tLZV6yHwsdHa1SHk++c/DSQ0Bdlj3d4paGovDHEafIEhb8pfy9jU2eb8bKSh8EXVifFxF8QjztBKvqCOihHWB9gsV/o3nQ9thY5diMIb6Ip8xrG5JjB16ZuPnXGAbOfR7AGjz1RqOAZ6FU7vXlHlPinx8HxrbdUXGePDj4zjF2m5HIjc99dxS9r2Yllz28c08t5Oqt0PyD92/ekxjzulrnKVOw3rjJRalB+/O6QZvTPt9EjlXf+ah19OVr/uZBPCfnvCj/6y7D2a4yckajUgvN53qN302ovTt4/5zGwS1ulum5U6GXt4VZyNQFrQ1yf6Hb/f5KpOP+mNrFTxZlvNLir1a4/XjQXXXQTGiT9lpn1uvX3lkf2nglb4tx/YMrk0ZMW7KmoHlVNokdiK6OKVzxxuoq3sLY3o0v0s3jDFdJOrC9FYzpZY8zbZVqPFI03/Sox+hZ9tqrxnOXmjgeuLWNd24kC48Ny+ZVXHz7CcoNbBJc0oI3H6s56spLXxMyFrerNWjszg9K/7bs3dzlipu+XJvCu2wW3D36Vur27TL/An0XBWH7Vz6+rf7PYnqZSiUTQ8ZyPprfd1UfPk54GXt5XCVZPLlloCKz/zOT+O2lRUGGKkWbXMtaczsMur3DXw2JVOfyHBzBbdmqoJ4Ua3mOu+dUtJ+87KhOFFfI7vBeRi1HneaqfK3PTqcu5CVb37b3uB1lsERs/tEP9itThTPncI1WPBDuj5WI5eLMvba9R/L6sMic0Qsv3poB4QoR88+D1cOOHqePuPrwLe8RfxbPxlRcKVjUJH9irZpGS/qGi5Yq4/WuuzYnFJ8c0DnD9cpJ0qg0Uz2fxZvj0yvTvR4BYVcavkGHfHTvZjHMt90yRZBdbmvxsYjnaoCfQXwkS1abcEjNlp2fb4w/9mo5ZftMX6DZ7dl6ib4hl2Ft5w3be1c969Bk2top3Uuv5J89HJ7+ygFhaJ11nqNEXR0g3fZBdfWFhMZDtDjpuetLBuIzFyhqd5trJKvZsO2vWOTXU0BbDseotaIbOV7kPfYkOcT19eCHOS3qDaMlLXDAmjNzzuiQ3iDJL24S2LAkOvIE/gbzuiYO9T1Xgto/aa3BSa5rlBxsc92tOB28lmp/q/dwxK29HnjoTVO7cOWO5vNfNn1f56mw89SrbFmi6GUUfGIWxCe+LeEgai5r8H5cXZy3r/dO7P2RZfOPf7qRFFMykqfxrejlGrme9y3XugfUK0qHSO4tvraXtd3lZtRb1B+GS0MNf6bonN3xz7qC4zY2wZvHEus/Ro04slQ2wVvMbhrFTF5TwhqErs6WOzyHRD36At+PZ03zMk1H794+t6GzANxHinW/awizxzDUljEE9/gto0+9dIRmz/OvikqLD9z8A5lZ3Tzk6C/MHD4DZjajlt5bqEiz8fzpZoKa79k4FrM2wi3Xas7FRh9/YWbsozMoM4fGBMyPr6MDEGYOcDIHb9F4AucYlkPvDvzVzEzJHUZC17xI6JqXjw+H+MQCOJwgTkAAZejpsDUrK8LUiBtMdIcRUhbm5ESyiRC3l5UDDl1zwKFr2GWedol5RATZcDhk1e93PphNyR3++v4g9BIe7sfwcJtm74U21duCITFRgHHrZmh4kQ24JHkfMLbdFjoQYgWWWQQDl2H1iFVZgApbtgFL6yIgwjZbkNs2EmA4sA06XGYNVm/dC5x1WQW1ilqBgoI74dTdaEiI2RY8J7IfKFYMguTgVFZvgzDAyswV0rxrCXq8DwAmNWOhr2k2oGZrOBD8eg90f8wKFNLYA4yobYKOrrYE72TvAPLgKaIBG29DG6KANq9DULmSDVhzcR8gWrwPWnPMClzRFgxkSm+FukYsQLbtfgDnoxXQHnhKQfCUWugRD7nZ2YOcb2IB194EqEfUHrRTjQWSAxKhXR/swJTEA0DNxBGI+ZId2NQbA+D2J0FH/O1AWYsYAGA/Dknq2IGbc6KBwCPJUC6THXiFORq4v9gO8os1Bzk5NwMBx6wg99vm4BrRLYDcpBm0qsMczF7gBTS6G0MW/BbgkKo3kFilDwF6FqC+3lbAUFUXUtlmASZa+wCjadrQgnQLsMnJFyhadiXm/IXOpYi+mqS1Naezln6k9ya8W6QHh63tosGscysS71dvvCnst2dTLWdqgajN4nuVN49mK7esNW54XLFfVLBlX0C46NyUTXP3zN/VsGAy7JJMW0CEfpztk/y7Tx+e7/02ppUR5bN4B/0Q+8W+sc9C6T70ayVs2j456N5LollCl6N1+lFyNouics4TfrfwMy/ol4M5a58XllsVhpn0zc9p3SQp7Sq8rOgeY/sO2iFGh1WSWm2fVgCL2hpkDz3lUAiz8ZOYaqjsZtCSnt/yYudVZt+YNL+HDy6m0uaVf03eo1/OuTKh+8TgFoG6m7pOmuUuW896B35IddzX8Aq30mDZljU2z7bS2z+eOiCmZMThKp37pLhs7aViNt/IrePm/J7bT4bVPxiZb6jwijbI4N5dl2ynUdr06M+t+wJ66eXPXs6xDx+q5fw4Z8+iwC1MLTg4zTb/5mrI4EnB9aZrOsquS742nqmmo3Nl/GqtUlWmELbk7UQju13ugFVLxVMxzxxO35PDp7OtT2RW6baEGjBeZ0guowMRIr7hY+eFydpSrb7KQqcLu8oAu0Ul+0MAdpa5Dmn62HCxC/AtvcJ+8FIzmModfIVe9ArL7ixB7eHQgI0VW5e01coeHO098bRE5h5nqm/ghc6bxd2bntlZjWy5Gw37yo8uyvk9WbWn92Ss/8ALO6tvHj1+aZE9X051ZEx0eR248i71+KdvTcV+J7ICr0cNPT+J7zhgoXhSOW3n97WdChsHnX/+jij/45/Y2DEtuKlTgT8wzE9YqXBx3u09q+hIgWkT1morzQkXs1prEVKE+l5ceOwvEepFyaHClyXKorLh7K5O5efzRPbcCWAmFdhUhXrBvnFc/ObvVLyEBqViboSKm5jgUDOhdZqPffeIvChUnDy1ecyqfok29L60K29vTtTX9RntJcM61mOu4+YXgmGvO9hmJLU5hCaJ8WvRwRPXD/+BfBznuY/nFz62nUEGsAgTZitZ8qXPXSfndoJaDVNTj+UngkZpOTOLzUPC56ETr87F1FAJT/94nDbxXUEXkvnLznTlEfIpAC+eCB9/iDUg8nFvmiWoCi/4fzkfc7Dg2DlZWX7xlAWQ8LSAoOB3LiaGpdnYEC7GCbGzE3O5YC5mF+HiEoG9ZGEROJ8L5mBWTnFx2GEmbidz8oiK8vCKiiIeMw7mb2SNf9dOP4p5hEO8Gs7+3Sb2aNsTjrvGLII7Vx+QvZtb9nRT3NvesXytce9XhPsq7Z5HY29pGMe2nH7Ron9b3g8wIciev/1Y98CRYy2nTTSCPgYHixfhe4MinQTn4ZKao6On6hMvf7kttu58Pd/ioV1ve+fsTxINPxm3cCAkwfetyI4RtZI0iXUdTdy5n+dpLlozx//FQol9CncaLTT6Oa5tacdV5NMGfNIpKXhbXR0szZd++2HlrtShQtOjLwfztQ0iCnQIdy/H+l57z39skd7TVJ7l3sniq5KiBb5dZV48l91RvX44cYHICq/Auc1z62SL1nN6v5PWOnGkYZXonNyd8x+szrRhm5/xbFm19lGz4SsHYw5Ixg/NnxtwKauBS+sYji/i4U6HqFMHTFfKy3gZhbk2+X41H+Rx23Y+JdCMk6WAWSGEoGzk1ncnaWqSdX9tMP7bmTL+a6fODtPPw2ddPng0/RYyyh7Gj5Zglm6Lp7e5wwEu/WcLfNu4w80P7X/BJyBbMsd1iRT3rpwTOUOnvm7aqN7k/pKvadvoeCSu4As785sStq5mTudm+p5Pj98SglPfvdEc9eb0vKdyStM71NWl9HBh1bwhhZPNrNXP05+7PHdp8ClaVv/FJSX/YhBvr19FbLjGtuIjaw75BJ/8ED/a5OQVKLk25W7Ut9unlyH00jtUxECUMYE8KZgj3JrPsJmRKzmAWY77OivPPg9jawbdGvawXUwxkJTiynMfxWQZSmg8GHiP9s8/XfThVGCv8jzOou6Kp5HGdwgudRVGPVHB396yvjx8qDJW57VYikywcZNE0vLnz9Kmio4Yin8yNho6HOjUZTJZ2nHUuKc1+Vjfnc+5N4aWpMj0Juz+IOE3hV91ZqMM7a3UvO9rFRV+sT8JuRIBPKIQi61AYrELdZYvuji6oXncSNtS+Elw2/vxB/ncnZucK0pJ0Vl+sbVrb56c3LjzjQQxDgszyqhTyXiFLxJ21YZ3NiU2uqCu3uA0/+RMPhpSnLo/fGGIYJg/tTRyT/IEp+tPeUqnrL+VDrtNJysBdqHM1U123lOeY2eZfSf3LJDcSIA7luRQxZflRdbBLmUDc2uw7jt8Kz3NqNDHC3Nx/Av/QHp5wOOw+Rd68ZmBu6eOzVSaH8XX9PJNHSFjv0/c2vnvv9MLLnPdBf2zv9IL9i9G1HjlhSHljxsq1D9ENxNsKzwgXQWL7/Qiv9ga1Fzg+H9195ORH4dDdj5hcqFHKIVZip4e3v+kQ3c/EVeQDScoKCCIw2F3QVnh7U/E1UN2Q7E7oOxLzr+h5PIhLlwHzOirhywAkXwCpEZrBdaA1sB+NwNov7sVaBhvC3zBm0Evy63Awnp7YE2RNSQLq0gZVtGaZENI7LQl+ITFEvAZM4OWTVmCr9StgXBnG2iFsxXY4m4LpO62gOgIluDDGjNgZZIt1JVsCW58bwHwX3KEXvVZgrgvVkDDOnvo4zsLsPi4CQAuWQWlK1mCQ9FmwIUxJ8gxyhJU2GVBdOFM4GnSBU8TceM1UHWIBXjb2QiQL3eB7CotwMilJoCm6QbojaglaMdgBpjC08ppiyUo9dqc6Fb1b7UE2T+ZE92tKcASLKo3I7phbLyWoG+1KdE9E2qzAGVKTIhum2yBBfgy35jozinGWIBR54yIbp72GgtweYohkFvuDt3MsgTBOZYA5+N1EL7BEnTfYgX4lrlAHnxWYNQNa+D5g7VQibkVmDNlA6iWroJE9luBlSZ2wPGSFZBfoRXYc8QeGCm2gyoGrUDuRgfgnPflGinONU8QfSWqRdgQ9eX6XV8cNRWL9LeJMX7pk1zgXnV/vVZkxekSx3UybLkb2ZlY2J6dPbz/pOPKII7OV0FJHesGqsrEys9+XRnNMeSR0KUtEJk/NvA55Gn3qc5LO6BsHq+l3cZWjCLb7XnGz510D/rSai18+nXRmKv7Ba1ndpeyfM9nvyg4MZS7q+bweZ733UEvHij7NH3qi196fVP2cApen9nX4XRfjVddcxXLmQ8XVRTzJwUe+F5+wuF0QyPm7Lok+42jAce22Vy4ZrHGKHV4g86RlJoRlVP6bXWb6i5f2N9hy+9zxLPpVLf0ikyerLtW+K8ttp86upvK5zpzJLnc6asGVIM3v11/CbcuJL5/94KrAnP2bEk/tfBbZkH0yR0nnzFKarZ27ZjHnll76Zrpo3pDRZdztmAeXqI1dqrHfdNAO41ng6L5lMFQzVPxPZ8YHzH13NbjCHxsedP6qXbHR2NXifiG/lNqDbVCZo4mLaemoO1P6BWbnB8izJua+SpjOj2MdD8H1QWve+jR+yzD/dGLwXec+vWVwfTnzNS1GWo/xzvlh5cHr9Dc2wYnF0nohz/sz5RqAUTkOc/otjjHGLhu4+LgYX5mFTaUvfnGPlKdD7oqj3W4OGwDrz1jNw/vou03G5cKOT0iNWq/SyQ5MiVYLoczV9Iw/EFJyOnlXBzPmTN128NGgO3wV20ae5qtHVm5Kr3fV3Iq5JvD4XaQQqgV793+cEUhK6f14vCSPr3jo/Z8zaT9T5nhz6eakj0kchk6itdbjbyZMC0vqcI+4yl5vzju3KTSiVGYgf/JE545U2pZKYFC1XlM9aFMFpNKaZIB/tucWB5xaBSLdToLTbnemDjffVwCGok6HZI8MWI9qLhHCnm8U+LH451yocppeJodIQMCh1uWbf0DuVfg/UXwF+6NmAH3mlMLtd7pSLr1OOTxd6HyaL8dpumntgn64y9Gody7NeCmVYrDBSL3XnCyBIXgRVLR05rIvZGvVv0f5F4+hHtxsH9HjXepcS551hEl3l3B0rjql81Q4gYbk2vN2QQVnIHsmZXRD7zAmIT2Nu/1bSEdtZ/XFgYxf3r1QnWO+doXZXNGhbmfgGNXV5xdPA/MzRDCdUfPPZaPO+g3x53h8hmDpdZsCwuedn5Ku7Ga94aWff0h41edVasr9icFhAhdXZ17c+C5+C0lV9VVnrdXdTT7FrwMvCvPrBPskeY36OX80YB3eLLGYcn8NBfz94ZlL4ePKu6qM5Dr2JJrcmvZmwOE+N0ntW92czPrFez2jmMJllx2Kwm/41uO22jUaS1Rj8H5pVctY5uvAvg9KpWXVqatZFV9u/5Wr5lyn3LG5PJNQstEHu39ZK28id1sfqvQbp7ORrvIh0rhiXczLOdzqI+yTxZt25G9oGFEde/Y9stDVbjQQ9cz9jTWar/ev7+V81jT6PLX8iGjeYyFbE4iK3DKSxQC5JlWF21M7uTWCk5/7tgamaskJGb5qddGr7d+aOeCmsh9bs0b2HqcPj83O3t/ZRF/kqeLiyR30QXP0gfuVgWLWb81mZy+3OSwYT/+5lqt4vcfX/q7vR3hHGcW57ysK7asYwDR1fHLo3FEXUWSZQcTjJPchB7KNDGrfGyRmqO2jOFTIsedlR176/tX2YBcCtz60qszDS2519nW2Gc5ygnedfU4HhkpG9TUGyLFumvL4wil41tFkk6vZDpuNtBRz7lpWXH/lgnvOLZM5uqd9pPCmukHDqV/jXZ6cMPk2egRicDN0s6pXLuTBz8+1pfv0Bd9bzPs6VW8cLm1uPVi0TWR+swX6a6FxkWNGuRNDb5ZILxEUlChm+ne1GaxLbxVW5nlvYVjjfTTQ9ge31OznPI94SO74vjB1KaTN8Vl+y6WtT+1FPwc3XD069vk2paLDFlPD9p9O3lq9+HTvWe39V2uVVdmqX5UFrPGUrOf5ZCC0COfMxOtDPtdDNOVilOHbiX2BMRFD/XiNUYf3nqXNCnC+WaVslrKR4+5p8cufbXP+vikUGh++0HHRZZb8LxV+WWXM2vf8jy7u65BvfX6xr1Cwxu6xj4O2EYm16s4+2ZKMq0fdmo9Ne9ZzmCYUXZH7Hm7+YW0+CFDr48m2x+WOhqtLVK4c7h/GP9y7k3BHZsu3EeYOcAXFMDsfW4PbveCE4Il4ixd69aU0ZqPnajf6zklJXpL63PchBrxSR3mZ1zbgtdE3ypU0G9oFJCtvpctKQ/vYbZI1XF4SFqnK7zQulA0Yb17zFt3aK9H9PJg0Qu7FKvuxUjO4zz3trPPe04L1/ZVxxYzf456JgXTuS3z0tcSctX4/EdMclvpaeZyW/AQTJm2fF/eqRByGOduOap7nwuRvc9dIr30EipypSPTm6AO78dVhXPpTopykTZDLy6/ddtLc6Kq74r296d09IaPP3vhYmgHR1x1ZLwzm89vCXzfCbPvLpisG/lzp65qV4Z+f6gn63PUyFMuUrSVwAtHW1VGKnwxWUnh6O5n+j5493MTiOygwpufybsV90i+0L7QF/VsGIm11lX26L0s/7rkDyTkuyHZy/53WUliZM5w53yDnMeb338XqsrVrsLjy6+EjP0zkl4X7qU3q7cSrm1aG9ABX2dNCiMScqOfJZGQ15+3ATdneP5fIuT/L3ufwmwwIf/DvU/tBhcnSo6wBjzcDwWtwT2w/dN5cAV0MdgaVC93AtKurYUSmqzBL3fdAMvX66AAPRsw+7I7QDPuAa2B1bMOUU/KWkiWwxoU/roaeFW4DsJtswZTPjgDF1s8oM8vrEGRN+sAgTProJOnrMBRoZUAV7kHFEpnDYIcawGWnq2Q20Zr8ACtKyCf5wEJKFqBDYADYPJiKzR0xArsUl0FbBrZAb36ZgWOyTkBdEke0BV4irTDUwS8sxWKL4GdWQ9bILxpB+Q91wpMcl4BPGAIhsxjrEAv+9Vw/TBIrtsK1DN1Bq5utYPC31uBbJtXAnI7VkBAthWYPLECOLNzFTSxzQqce9gBEA9dC91dbgVek7UHjkW4QEH0ViDhli2AP7AOUqu0BCvNbIDoeHeo/6gluKrJCtCX3QP5ylqD82+4ABESwdDNNdYgm5QbUCoUBE0kWoO9B9YBdLz+kN4Ta/D54HoA5PCDYmhtwJuu7sBeZh/oqYYNeKJiI1BC6wXx+9qAe9Q8gH3Sl3jl/JYQH7FyPsE8ra8IMlK2Qgyoh2twCte7rY03bIg257CVObSskX23RfXKN6dtRTPM9PYx7P8SLWVtrSuYR7dGLYNtjq5QuUXJ17IwVl0DXO/YqaXcMQ8YOeiuzsGN3ozqj+oPdsTZiDssf1mq5Mhio3laZefBtsnTJeXXnz/VEejNKhkxPNuYKj94yuCOpadnQltpgq6n/qce/mMt88P9ip+fe9T3JefhCtPsZRV+w2+lpvSzO3gqDMsyra1XyxbMFZj0P5v1Tv5RsMIeguPy7YfdOwoNqtafzVY71mYfIbSoO+BK3AYFiUsL+VNXrn4iUJL5/PB2+dA6mUpm04b7+5JwF4tsl5UrPbt3cNDtbG23fIEg+CFtMje27f2a6OOti+vLeV6Ijp9w2PVea5OPcA3b2d5L8j4d7PscTScEV/q5sMvlJcmW9A0mG4Q4LOTeNFIgWBKY23hm1bhtxLncxI7Rb4+kkytMM8b8zyvc33HxeSF7xSuX2A1rszuTd+StGvewPnG7xPbElSARu+WHN43gg/e+sbP3kUxBKDlv0Hx6w+LgD0rmWH9zEw3d4ariLmCg4WQvdL1ur5HrromrWwIUdxa0U2Zl5zsXUFbmp8rKTneiEVaeazvNyr0Wqzlf4bPgNiJnONdd1rZPk9wYz2HfwERjGu01yJbofPb7Gk+FlVvv/D/27jwa6v3/A7ilyL7vY+z7WokkSyOurCOh7EKSmErITojU1SJ7aLHmZjfWmEiyF4qxJLvsIkvIb3RvXXf7nd/vnN8/9/t7Pc7xx8wxf3zOzHk/X+/P5/V5fVoE/qZf+HvgElL5kERaG9f7n+YLDaQ7nCWMghdNq+WmK+qyacerh/rWTTBZ5cGFf7kESvXfXAK1nbR8/oWnt3bj91tpy/3jttqfb7ScHeO+trj/+XJK0GLSw9mwhdoc6RyJwdKg9K+09wOe/DrT4sOGMlql2Z+Q8KrE55A35yiLCWeqA8vJjb/Kcn7bKltlL4bZqnf9G6+C9u5W5fq/O029ncwZn16W0m+0qp5rXKL2W/r9tPQlvPPc322V/zxk+vv7pW1zyy0NNaopZEE4fsIyuj10cHX9LM5g+v9dMv/zTTo7r4Ryc39L5n+4SYeQzIh/ukkH5Rw1+HfJvDNp6ZWdcDGlhI3XLUc1Xn8n3JsGQ1S1r4OabLUTjrrXEOV6zk5t55DCQE0MLuiYIepJg72afygGt8/MEFVWf1rN7wUGN3LOEPWqzkZt3sAd59yDRqnvOq3Wf9MdFzWJRhUy2qg1NrjjKr6gUQJ8VmrWp3xwxs5oVJ+KtZrSPR/ckjca9dTSUo2tzQcXFUGoGnzN/5C0Z/MDcWobBih3Lwu1lpZAnDEVGpWeaaa2bzIQd44TjeruOvmHIYU7029nKu5My50pujNdd6buzjTeOSxw5xDBncMFdw4d3DmMcOeQwp3DCzeUsq2c43rit7+v5qjuX2/SdP49mdE6Wsw27MwLvb69B6iv0lde1qbfNTWQ5s9GUpuWqR4myxr7Yj6PT+WqWohkrNpCqsQeJHU5y3E52QG+CXqUiMzViqX56LcxrAxWCb2yzQq35i7rUWfJjMlQfUity/vSUBlA1mfw4vXSm40Rprxc+WvrDm76wbmTp7v79vF472rVKawQ8EfoakX1yVfvJ4s8VjiP79N83iVyml1FNreKyiMioBBTdZu0a9JOazo+hYdIonxmzen9JdL79Kprtb4L5Ye57D4oLC47f4iQ+1g99lHHpkRuTXVs7vgHTXXqpp/GYqM+XDCinqpuHrDa5Wx+etV0r4ElUWzRAtZbJZmk7dyw0ShWhSiFKmD1XHJTsGVP+3K/7wV6CzbpiWVd1TjjrXL1xaxEm+hDzAGJbZ+vmiYU63x5K3cwu89urfJVoIO7dKOqJ9U0favoih+rZOa42GbZZbrD6C2BzWX8nivGpakDyT57vpJH1mP5AgoebW0HcCjzSM2f9sQ++aX9hH7grxhn4o7TGZzPL4/kmMn2Lz9ASLep2FXT/HYOejt2+V0xVAwlJbuvF7pMkv86y8KfuIgus431HPLEgD8hgbG862pyR5Oe0ZxQjjvT+4KOibzjvvsalv5iZplOrPqSutP2+Ius4DhnOpbxMLwdKUsJMZHg3vNI6rbBiR/r+D+kr8BFoZh/7EAy3u5AKio67JvoIvdhgzq3yTnHWnPe1L5uYcLeuWatrcLqjIKsk+LBv+yJKwLXYge/b4L/Z7tiuprfWpCYv2+Kh75vinX/sCnm2W4J3j7dbbvdEeyZ6Zc5SbiivBu98mid/CU5Eevox4pyvtnRf2H28puT6P8leykp/+fZ2/7buOYDsn96WFSyKrKKWOz3rJ3SKKuvGJlTvZLRPGhcuFA9nH5NGaPA8mNY+oVVubz3I0OquNdrxUdTOdRcf3u9PVnqewcSGeE6YKuINWpaOus/NXtZWWho2FgJfzTMzOxsTExszExMNCwIBDsTIyMZNRUVAzsjoW8IgaBAEDqJEHR0PKKcnBy8nJycvDw8dAh6ekoKMjIeJB8flxAFBRenkBAVJRkZPYKCEOnU1JzCQkJC5BQUnCLCwhIykpJCktLSnKIiIsR7yMmJifbsIREiJSUWIiEhJif8nzQpqSgPHx8/UkBAEMnNLYAUFOTnQyJlpCUlpaVIScXFZGQkxGVkpAinzAmlAoUa4XAUBXu0vh2uDMmPLqZGjO5NYgT5vMnafqkATkzEz+H5dh3dZs3+62al5eNl5T59b94yRXsNFTXgb18UMuiX3tJsd8qmLXGWj34qxrUi0Xj33lGXHvYc21GNF/w6Pu/9rHx7EutL3fRY9RXFs/xe5ga8OrnxMX2MjpiDxqk4obrCYWINO1ZtwpGi0Gk0Os3vkaNXV6lo0hiZO6Zh3SIaj43S98eVbJjosrG+wZiqYo6f7/Z+dB8lcb/StTl8pmGfmJ5+uphAZErzg2SkyFykVmhbiv7CwH1f0UMs6sE+Z6pqfo7n16Q8WlPrW9UpPJR/+pHbHLevYGs4JR5lUEuF/7CvRjrN6FJJTXyYhiSPHLpJILSeLiK8R/j1pGaojptGSD/DRILpYNq6hu7RcLmt+NDPU7tvlkedxUtzVR+WemD8/lh5jqR8Nf0D186OmBELZASDLa3Bm6/xuqQHBQ0W30iQlZrOdtzvsA10CDMudGgPZPHiP3DU5+DDrhDrsjTmIuuRnFW5pX6p9Di1vb05XLYUrHcV5FN+Etl9FCHxYNqGxbTqwEOZ42ljC+K01HHo6MftffR0AR8V+DKM025q0cn4Olx1PSLWT7V48XxUyB1V8Tpdr7Xzj0J6ArUdVJ2vrF7nwDJGC2tmKxrK2l23SgtSUPl65VQNsaliWufalY1rIZEHFYrxfggzEb6cfg0KCpXIJ7EXrKQftwbMXVkMpxEqrOxMWrq/yO2Tf65b/RmbWTfPOY36zewlHlM07WNS+co327+hh7VF77/9hrafRfDrb6hpdbQoZS1zyf9U0z0/jsfThvLXzxNpiZAHvu0R2wjcvudsbi/Jn07dDy92O01VFr38+qVaupeX1yXFxSlxTyqbS5+TEdEQz0x+Jnm7r5q7dgSZB2+C6leiOBVOYRJWx6zFPLbs+LNTxUb1+oIB2Keb9pZKD1PTsGfKvD1IHk65uPd9njmz6pK3iXWPnLkVL3HeISUZSxNQjnunMVIy4xEcj+1l1pgZeuvZI70n0TF7/WKiy8eKMmyAh0v+Z9dEZ58nDlFPr/ZZmJtGJWHD6ljOX6H27PF4OVBQllrR4aGZemdG92kSVrFlFCsx7rd/IC3dpuNuUcfYrbtXW7wddcx9vHZzVXVZYn9up5SnVsNxV9XSZraeN7NTuC293/NmXvH6ikvYWkLmMPaijIyZiKdLiV1DinN/hWeF5XyT2tQMD7bX4Vnl2c9orzBuZ7xUYvRG27RgFSaPoq3CIcP0jWut9/J9y0UR50SpnrCZ07QpCpj9Pk6elvPYz2X32TysTTXxWpL+rl3zl/P1alocPbpGL0mpSEYUKHRP29wpwtWovDB9MdRusdeHSNHgcchyUE/39zXy79bZ7VXQ+92UwrevrevHcmHZ7ifZeZGwXFifPnk/Lrt53/EoqTNeHpNu3Ybnao8nx6BFozLyLywWaSEfNdfRZxwzRR4a30u30uFlwlFyWDCjYiAp4/GZ2cMv4v1dZ75OLA5Mra9VVae08Qx0fGR6GeJiue9TLmJzkd2slKPzkbICMTnJL6JnekpvjI6RRF94nRqs9NUOl2KcqyhqPZv3xrivnmgtV250TodlnOyShMTYqSilp04XzSgFWvmCNHTkOtF3xRxuez+sdrLPGxx0K+K9JCpel0varR+2Kdmp9t4RFdpHkZnQd3ni5Qnvd+dCRRmreA95fGY5229CqVwz+jDEcmuPXu+hVcn+Bdlnn2miTTjqIiMSgnwmHWumYohPZNw6qyk7F1JnQO4oZzTvW07zsVaJ/LVbG7qtkfXRUsshP0ERlsOl2lMFbKjL3KVvfxlznO9WdROvQoXTVkhG1zlV70rR7Pmg3XEoeSup0OE8sTnFEo3AggwzhWBJP1fpHtfQowNx7HsjrrDZ9sk6izqMLOeVsBoKHj964Xhh8AG/KOz12o0nN6bc+chOPWtN6iglbX/J3p7oZsPO+WpsEKlsgJi3+IC65b3vp/DeivSk4ZIaYuOEyAvNBiR7lUyavRjINKwMoqrkw9UeFwfH3UxURNBXkTzFRbinMl5UKFB/gHVGft47N7p/wQuPPXLPm4riitlnBJ00Pe5Td+yBrOBdG63RIvz8xKVheDbrR1q8q0cZqxuRwSXrGC2Dwxeyv1gEoag1xV9qeV5yoBfMrsSYKlHdijRLdz05i3qxNNJ5fgARd/Te0pkFLN+dtCPHGJprO1eT71otCy/RmQTI6A6rm3oKiW3VqKRaUzk11a4cMX8/x9e4fgF7T4EjSZhI38/ctIaO4+YNXwXMxOLD3GvqLIX2edw1sj9fHyK+9zk3qblLOFazIsJxfuugBSqj+5DzbbfZ2dbDONnX/c6YckQWqnXeCdFTt8lG3ukvEyYwHfkvLAudvuj4/aUspPtflIVdfy4Lv5WD10tUv3UxmP32PIgdZaF2qXZgCnte9Z3WI78M23H8KAu7xe89mhkbUr20hhLXJJSFXb+9TjgxgGNu0UMdJ7SubXcO/oePpt7e8hGTU1Ftl2pk1OTkJMQ0NGKEEpGEhpRUjFAiUtLS0DCKEUpFYioqOlpKSipyaurtko+OklAS0hAujFBSUDAyiIkhGNjZEWysrAhWFhY2BDu7GCkNDT+hBOTnExWVIpWWRgoSSj9BAQFhAX5+EWF+fiEBYWFJJOEtQgkoQ0r4PBcDA5cYA4MYFw8Pj7iYmAyhTBTnQSJ5uHh5t8tQXi5OTqSEuLgEUlJyF6mU1Hakp3DXs307XNnfy8ImSy2ji+z1F0NzGnXLM29TUzDsbcwsmvi8wBZj77ol4Fj/1KlVoY9aPIq6PZ2V0wWZFNkZX0ByoAvd6Bph5TtRl5AvqyFQiaa6ax8aFGHPVle2buFbLfVJjq341PwrzzBpumeDOWja9nFLe21fHFOWcLPgu47BXj0E/gwut4HyUd5xFY679HbNGTFbueOWyEc3vhxQMl1EF3Zm4JPtn698cW1xCGW1P1+mk3hIqfRL0VVmzH6hW6uKLZgXu02VGiTaFE8/5fArthK/tfXK7p1Fs9VkWo4/nY+0+J64pMsTYWH9QpTl6jRLQjnBXK3imWXvtEwluS0waJvIy2+SWaNVixoz8w6J1gwPPZ6ieTVx8fX9rpZgBerwzckHps+eIrbqA+tc9L8oP/4Uov5yPZvmHucJL93ofAz+WIuBMdK9YT5G0Qn70+gD85flKbScJ91ul5Dtz1+04Hga45j/WPvWYLO29pZJo4SSoGCxdYZRlZl0fCPq7dNEM9WurNr4Ud2WGybcnPUsLYMNhyr94zIU91mEsbzVHou9OuxBMa33Kj2UhuMww+vhunu67mtOFqa/1F9Pl4zw971pVPOZPfQBqfxzjAJVt4jeCWe2+1wC9Npyb8LN59s9iI2K78h/2ZVNQVI7jGde7mocW2eknMVrrZQFSkTqzNMwG43b0Fak72ZNHu2ofJJXfdwmgDfWgw5/8LR2zVo7KqK4d9VIrQZtvFeDO//iFBOFoZ7QEp1gHY0iEVHZyPaPaIHvY/Jf60L7tssneqw69tVJ291TbhS+Q0PUnf48iH0wU2y7LjxwrYnx22eu/6gLF6vtHcYfp9kM06V26YTigyZONtyw8R4WdPKhf+Z1LcXv1Cayt3aIUp5cv7JAL9owz3ZmJN/O9ETeqWITvGvak6t65hNIczy1vE96iDLW0FMf/9ZhJv+p/xvblWz7W09HdayU7lCpuqiyX+pmY64qePq+zTXAZAIrlShT8exdTAeWCZOPD0jyeR6jbP2+avmtVK/6otDMqeaUHhNreuyckz/G+eUrx7bx/PrlMXfF9cjuYKzO10b8flaeQil0TEnu7EEX52ExjMzdqvp3l51+9kNvIHsrrmUtM9WudGPnFotV56rrTQZ6m61m46ItldFVlx4WWErfrjpea8e2O3VYvrLAnbx9ndYMn2WtU1jt8apxNtcxcrOi1sQjdoW1p5C7uMDc6aRr2x3b8556yv1Vza2d0uYH+7/mh5f1bwU4LQflSk0LV2sXKtw2ztdJHMFsTT8r73/4Cb2uGFY0M3L68Uxw+mSvsZJQj1tmQo+YxUqhKjoH0yUwibG+qN0x65hXrUwU8SB+0pzzQdCPXPm7xZOwEipEPUn49s11/1gy7GzUdh9pnvXKSKjqrl1tsFG5QXpTZiCh+MTWnhTSJ5XhpDUhe8yj3AJWlE8uNuA3BwV8rlEEuMf+5Nc73rQx9jEbp7RMTZGstlayrh88KoPfL7dKvOb5cEN9GaEQ13Q0oQzhzyzjMOnz5ZWK8Lm2w3M/NdOahfnvenvYyz6lctGBx3lRZv0EcUrdqVs8+Btd55XnKz9Gb14tXUsRQCoX3NIKVxXzSmkaVHfLTywc1vNZKY9kvM5kQVtiJ9fkITyQr5BQaGjlKxBby9SxrvO5d7a3aabcXfsya6z6qfUs0yN8dDMZ3Rc4raaGPPMy7XprA0aD/MYNFRfGF3xpkxdjCH2t/SW58/vX1vtDuo7gn/P52zVYrv8ylXxLsfQK4qtKJceSxCTWT3oOUzyE8A/jMjNifea3/Or9pTP9OrOM/mFS66pn44SUCxwNHcwKUxMGHgq98PTr7w9bdlQoGsPLLyoJPrNw8j489PDZ1eLUc48LUoPrrt8VCAv6arfSO/IgANU8uHxV9Z2f2la1znxkWaLA0OuT+AJFEnaV2IiUe55UlIoTuxbOSpDO2PX6etiSo1WDawe4Cgx+nllLlz7YSTaikyljjln7cvvZWa+FYVberVa3Teowx9jpNP7+kwlHPvl4+x+mrbBLEewVSVo81hw0iDM25KB1Xt+vewmbOPWCm126GXMjv6RIwS9ffpYtNoS09mrznFtj88x4crHLhfu0IwayraUV7zrfX7PrehJa/QLBOZTQ3fGzSXfJYpVn4if15ue2HQkf1IY1ltlCTiBL/Eg/lb3Dxzo258XeC/8ld4PkRMqrctsv0bTrXR212jwtZOkiYapcvj20+P0xv3gm2EtOXrB1f5e9Ob6Cv0F2Yc/BJFb3kxc29d8UHlOaPuDOOOevy+jWjZveShQ5H+U3RZVDEqQf91VjWaItWYJ6iu0immhRAZ/SI5d1pfUEA3lQiHjrUFTFDLH+7qO7A/u0nv0La8Oogy61O2tDC/T+K9uH8f3JmX9U71Xx5ttBlfN/3vmpv3tOOwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8J/svwAAAP//AwA= 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2f1524fc-5545-413b-8873-d185930a521c true @@ -670,7 +679,7 @@ true DFBuildAssembly DFBuildAssembly - 2 + 3 false false @@ -803,8 +812,10 @@ - + + true false + true 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S @@ -835,7 +846,7 @@ true 2 - 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34994163-7d3f-43dc-8734-4b022f2cf4eb true @@ -843,7 +854,7 @@ true DFDeconstructAssembly DFDeconstructAssembly - 2 + 3 false false @@ -941,8 +952,10 @@ - + + true false + true 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f06ff478-ea89-476f-9708-508681fea589 true @@ -981,7 +994,7 @@ true DFDeconstructBeam DFDeconstructBeam - 2 + 3 false false @@ -1147,8 +1160,10 @@ - + + true false + true 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S @@ -1240,6 +1255,1560 @@ + + + 57da07bd-ecab-415d-9d86-af36d7073abc + Number Slider + + + + + Numeric slider for single values + 2ef2efba-b4fd-4973-bc31-6075179631f1 + Number Slider + + false + 0 + + + + + + 41 + 111 + 160 + 20 + + + 41.440613 + 111.44061 + + + + + + 3 + 1 + 1 + 1000 + 0 + 0 + 46 + + + + + + + + + 850b6368-ff26-48ce-9773-ac554ffbaeef + Point Cloud + + + + + Contains a collection of point clouds + 3d693f2c-415c-44e7-b582-24f20c9d4d31 + Point Cloud + PCloud + false + 0 + + + + + + 32 + 17 + 50 + 24 + + + 57.794453 + 29.396591 + + + + + + 1 + + + + + 1 + {0} + + + + + + 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+ S + + + + + *.*.python + 3.* + + + + + + + + + + + c9b2d725-6f87-4b07-af90-bd9aefef68eb + 066d0a87-236f-4eae-a0f4-9e42f5327962 + script-sync cpython + + + + + + true + 2 + + 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 + + bce95668-a73d-4866-8978-ed68a47ddbd2 + true + false + true + script-sync cpython + scsy-cpy + 3 + + false + false + false + false + + + + + + 278 + -127 + 180 + 84 + + + 393 + -85 + + + + + + 4 + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 2 + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + + + + + true + Connect a button to open a file dialog to select a cpython file to run. + e775cc7d-a2d8-47df-b1da-7e9a38e12648 + select_file + select_file + true + 0 + 1 + true + 59397dc8-81fb-490b-8716-fa219dd9dfc4 + 1 + Connect a button to open a file dialog to select a cpython file to run. + d60527f5-b5af-4ef6-8970-5f96fe412559 + + + + + + 280 + -125 + 98 + 20 + + + 330.5 + -115 + + + + + + + + 1 + true + Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package + 62d9cf4a-042f-47bc-89f7-8cbf98105353 + packages_2_reload + packages_2_reload + true + 1 + 1 + true + e3293690-c1bb-44ae-9138-1b7146d07fa5 + 1 + Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package + 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 + + + + + + 280 + -105 + 98 + 20 + + + 330.5 + -95 + + + + + + + + true + A generic x input. + d8663554-7e0f-4770-8795-06372c27dce3 + i_cloud + i_cloud + true + 0 + 1 + true + 3d693f2c-415c-44e7-b582-24f20c9d4d31 + 1 + A generic x input. + d73c9fb0-365d-458f-9fb5-f4141399311f + + + + + + 280 + -85 + 98 + 20 + + + 330.5 + -75 + + + + + + + + true + Converts to collection of integer numbers + 3fe0fab9-6cf4-40c3-9a63-0c2983b83ef2 + i_size + i_size + true + 0 + 1 + true + 2ef2efba-b4fd-4973-bc31-6075179631f1 + 1 + + 48d01794-d3d8-4aef-990e-127168822244 + + + + + + 280 + -65 + 98 + 20 + + + 330.5 + -55 + + + + + + + + false + The redirected standard output of the component scriptsync. + 984d7ee5-75fd-4b85-b53c-6520521efb4d + stdout + stdout + false + 0 + 1 + true + 0 + The redirected standard output of the component scriptsync. + 1c282eeb-dd16-439f-94e4-7d92b542fe8b + + + + + + 408 + -125 + 48 + 40 + + + 432 + -105 + + + + + + + + false + Generic example output of the component + 7dbb50f6-5b11-45c2-aac3-e34efc2847a3 + o_cloud + o_cloud + false + 0 + 1 + true + 0 + Generic example output of the component + 1c282eeb-dd16-439f-94e4-7d92b542fe8b + + + + + + 408 + -85 + 48 + 40 + + + 432 + -65 + + + + + + + + + + true + false + true + from ghpythonlib.componentbase import executingcomponent as component

import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(component):
    def __init__(self):
        super(ScriptSyncCPy, self).__init__()
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, packages_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param packages_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        try:
            with open(path, 'r') as f:
                # reload the specifyed packages
                if packages_2_reload is not None:
                    if packages_2_reload.__len__() != 0:
                        for package in packages_2_reload:
                            for key in list(sys.modules.keys()):
                                if package in key:
                                    #check that the package must have the attribute __file__ (to avoid reloading pyd)
                                    if hasattr(sys.modules[key], '__file__'):
                                        importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output):
                    exec(code, globals, locals)
                locals["stdout"] = output.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)

                sys.stdout = sys.__stdout__
            return locals

        except Exception as e:
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            sys.stdout = sys.__stdout__

            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            raise Exception(err_msg)

    def RunScript(self,
            select_file: bool,
            packages_2_reload: System.Collections.Generic.List[str],
            i_cloud: Rhino.Geometry.PointCloud,
            i_size: int):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), packages_2_reload)
        self.is_success = True
        return

    def is_nested_iterable(self, lst):
        """ Detect if a list is nested. """
        return any(isinstance(i, list) for i in lst)

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            # TODO: increase the number of nested lists they can be handles (max 2 deep for now)
            elif type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if self.is_nested_iterable(self._var_output[idx]):
                    nbr_lists_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_lists_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
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c9b2d725-6f87-4b07-af90-bd9aefef68eb + 066d0a87-236f-4eae-a0f4-9e42f5327962 + DFCloudUniformDownsample + + + + + + true + 2 + + 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downsampled cloud. + ccc3240d-cabd-49e3-b991-d459e2534145 + o_cloud + o_cloud + false + 0 + 1 + true + 0 + The downsampled cloud. + 1c282eeb-dd16-439f-94e4-7d92b542fe8b + + + + + + 400 + -227 + 48 + 40 + + + 424 + -207 + + + + + + + + + + true + false + true + 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+ S + + + + + *.*.python + 3.* + + + + + + + + + + + 59e0b89a-e487-49f8-bab8-b5bab16be14c + Panel + + + + + A panel for custom notes and text values + 7e134d83-c33c-4f83-9e4b-4c998ec971d2 + Panel + + false + 0 + ccc3240d-cabd-49e3-b991-d459e2534145 + 1 + Double click to edit panel content… + + + + + + 529 + -280 + 281 + 123 + + 0 + 0 + 0 + + 529.8063 + -279.61618 + + + + + + + 255;213;217;232 + + true + true + true + false + false + true + + + + + + + + + c9b2d725-6f87-4b07-af90-bd9aefef68eb + 066d0a87-236f-4eae-a0f4-9e42f5327962 + FastGlobalRegistration + + + + + + true + 2 + + iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAABgmlDQ1BJQ0MgcHJvZmlsZQAAKM+VkU0oRFEcxX9miDRIZiFZvMWwooRkqSFS1DQzytfCe2/MUPOe6b2RjaWyVRY+NgYLG2u2FrZKKR8lawsrYiM9//tGzaRGuXW7v86953TvuRAoZE3Lre4By8478bGoNj0zq9U+U0MLzTTSr5tubjIxmqTi+LilSq033SqL/42G1KJrQpUmPGTmnLzwgvDAWj6neFc4bC7pKeFT4S5HLih8r3SjyC+KMz4HVGbYScaHhcPCWqaMjTI2lxxLuF84krJsyQ9MFzmleF2xlV01f+6pXhhatKcSSpfZzhjjTBJDw2CVZbLk6ZbVFsUlLvvRCv423x8TlyGuZUxxjLCChe77UX/wu1s33ddbTApFoebJ8946oHYbvrY87/PQ876OIPgIF3bJv1KAwXfRt0pa5ACaNuDssqQZO3C+Ca0POd3RfSkoM5BOw+uJfNMMtFxD/Vyxt599ju8gKV1NXMHePnRmJHu+wrvrynv784zfH9Fvn4VyuVUPcboAAAAJcEhZcwAACxEAAAsRAX9kX5EAAAAHdElNRQfoBRMRHDBhxeD4AAACSElEQVRIS2MYBUMbLDJ6Fr7Q6HkBlEs9MN/oRXuHyc/fdab//4Nwi+mff7OM3hyASpMHjugeMDike8gQZDjMYHQ8w/jdOahy4gHIYCC+D8T/gRZgGBoR8v9/RiSCv8TwiQ1UK2EANFQAiN+DDIdZkBD2/3+lM8JA7+r//8MLEfx5Ri/nQLXjBkDDFIB4PhCfhxkOFAZbYJ76H8wGGVbq//9/Ttb//8mtCAtAcTPB5Mv7OUav14MNgwGooQr7tHfdBdKfYAbbZyf93+6yF24JyLCCWIglcZMghoIsAfkMZgkMg+ILbPgp7WNpZ7RO/AfhY7oH/5/SO/Z/Y8J+sKFzineA8aL0nf+3uewHG5xeDgkaGBtkkVUppgWTjT89Y9ikse4AzLUwPCl+4f+InHIwG2TwXsv9YEts20r+B+6CGAzyBSiIYGyQL7BasF1zMziFIOM5gcv+n9M4+b87aMb/0KW9/yfHrgBbsDBjD9hAUDA5VyB84Djt/3//PEwLwEF0QGfvcZjBJ7SP/F/qvup/Ufuk/4vcV/y/oHnm/zLDFf87a1b9d63KRQkSEDu8H+ILkBgsZcEiGZ6agAarAvEGmCWnDU/83xK+Dczep7wT7iuQgQuAPoC5HOZKkG+MkJIpzqIDaIgDEDdcVj//F2boOc1TcAtA+JDuYXBqyfFFGAhyeXAChN1j8u0b1Dj8AGhYARDDMxgQg+PpoO4RuMEgw0BBAeODInSp4WN5qBGkAaDhoBw9H2jBB1DBNtX4w22yDRsFww0wMAAAM5FY0OMLikIAAAAASUVORK5CYII= + + 15a7c537-9d6a-4fb2-b0c3-4691f6775732 + true + false + true + FastGlobalRegistration + FastGReg + 3 + + false + false + false + false + + + + + + 936 + -141 + 221 + 164 + + + 1086 + -59 + + + + + + 8 + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 1 + 08908df5-fa14-4982-9ab2-1aa0927566aa + + + + + true + Connect a button to recompute the registration. + fd1d5fbf-af64-47a4-bf6d-2ddd2f5d2207 + i_recompute + i_recompute + true + 0 + 1 + true + 70e3f280-d48d-4a26-8373-0eb52cb51d20 + 1 + Connect a button to recompute the registration. + d60527f5-b5af-4ef6-8970-5f96fe412559 + + + + + + 938 + -139 + 133 + 20 + + + 1006 + -129 + + + + + + + + true + The source point cloud. + 3aefc1e5-4547-4590-973a-40a6fee84ea3 + i_cloud_source + i_cloud_source + true + 0 + 1 + true + a50d769f-20e2-4996-b784-96b8dc97a209 + 1 + The source point cloud. + d73c9fb0-365d-458f-9fb5-f4141399311f + + + + + + 938 + -119 + 133 + 20 + + + 1006 + -109 + + + + + + + + true + The target cloud. + ffa0ea7f-e5da-412f-bd40-3dabdbecd8d5 + i_cloud_target + i_cloud_target + true + 0 + 1 + true + 0 + The target cloud. + d73c9fb0-365d-458f-9fb5-f4141399311f + + + + + + 938 + -99 + 133 + 20 + + + 1006 + -89 + + + + + + + + true + The radius used to search for neighbors in the KDTree.it is expressed relative to the point cloud size (0.01 means radiusKDTreeSearch = 1% of maxSize(pointCloud). It is used for the calculation of FPFHFeatures. + 8558e29b-6ddd-4de4-935f-ce03f47a8be9 + i_radius_kd_search + i_radius_kd_search + true + 0 + 1 + true + 0 + The radius used to search for neighbors in the KDTree.it is expressed relative to the point cloud size (0.01 means radiusKDTreeSearch = 1% of maxSize(pointCloud). It is used for the calculation of FPFHFeatures. + 9d51e32e-c038-4352-9554-f4137ca91b9a + + + + + + 938 + -79 + 133 + 20 + + + 1006 + -69 + + + + + + + + true + The maximum number of neighbors to search for in the KDTree. It is used for the calculation of FPFHFeatures. A higher value will result in heavier computation but potentially more precise. + 97decf41-bf27-4c80-bac5-8f9b0ea4f5f2 + i_neighbours_kd_search + i_neighbours_kd_search + true + 0 + 1 + true + 0 + The maximum number of neighbors to search for in the KDTree. It is used for the calculation of FPFHFeatures. A higher value will result in heavier computation but potentially more precise. + 48d01794-d3d8-4aef-990e-127168822244 + + + + + + 938 + -59 + 133 + 20 + + + 1006 + -49 + + + + + + + + true + The maximum distance between correspondences. A higher value will result in more correspondences, but potentially include wrong ones. + 1e56f825-f7f7-493c-b4a4-3e5e18a85324 + i_max_corrspondence_dist + i_max_corrspondence_dist + true + 0 + 1 + true + 0 + The maximum distance between correspondences. A higher value will result in more correspondences, but potentially include wrong ones. + 9d51e32e-c038-4352-9554-f4137ca91b9a + + + + + + 938 + -39 + 133 + 20 + + + 1006 + -29 + + + + + + + + true + The number of iterations to run the RanSaC registration algorithm. A higher value will take more time to compute but increases the chances of finding a good transformation. As parameter of the FastGlobalRegistrationOption options. + fb9a8192-3f99-4dff-9067-46cde3eddae4 + i_iteration_number + i_iteration_number + true + 0 + 1 + true + 0 + The number of iterations to run the RanSaC registration algorithm. A higher value will take more time to compute but increases the chances of finding a good transformation. As parameter of the FastGlobalRegistrationOption options. + 48d01794-d3d8-4aef-990e-127168822244 + + + + + + 938 + -19 + 133 + 20 + + + 1006 + -9 + + + + + + + + true + The maximum number of tuples to consider in the FPFH hyperspace. A higher value will result in heavier computation but potentially more precise. As parameter of the FastGlobalRegistrationOption options. + 2f924938-5607-497c-95cf-4e9a0c12de5c + i_max_tuple_count + i_max_tuple_count + true + 0 + 1 + true + 0 + The maximum number of tuples to consider in the FPFH hyperspace. A higher value will result in heavier computation but potentially more precise. As parameter of the FastGlobalRegistrationOption options. + 48d01794-d3d8-4aef-990e-127168822244 + + + + + + 938 + 1 + 133 + 20 + + + 1006 + 11 + + + + + + + + false + The computed transformation. + a79008e5-2303-45de-be3e-f7c64e9e3b45 + o_x_form + o_x_form + false + 0 + 1 + true + 0 + The computed transformation. + 1c282eeb-dd16-439f-94e4-7d92b542fe8b + + + + + + 1101 + -139 + 54 + 160 + + + 1128 + -59 + + + + + + + + + + true + false + true + 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X3NlYXJjaCwKIyAgICAgICAgIGlfbWF4X2NvcnJzcG9uZGVuY2VfZGlzdCwKIyAgICAgICAgIGlfaXRlcmF0aW9uX251bWJlciwKIyAgICAgICAgIGlfbWF4X3R1cGxlX2NvdW50CiMgICAgICAgICAp + S + + + + + *.*.python + 3.* + + + + + + + + + + + a8b97322-2d53-47cd-905e-b932c3ccd74e + Button + + + + + Button object with two values + False + True + 70e3f280-d48d-4a26-8373-0eb52cb51d20 + Button + Button + false + 0 + + + + + + 808 + -175 + 103 + 22 + + + + + + + @@ -1247,7 +2816,7 @@ - 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 diff --git a/src/gh/examples/normal_estimation.ghx b/src/gh/examples/normal_estimation.ghx new file mode 100644 index 00000000..5424448c --- /dev/null +++ b/src/gh/examples/normal_estimation.ghx @@ -0,0 +1,790 @@ + + + + + + + + 0 + 2 + 2 + + + + + + + 1 + 0 + 8 + + + + + + d5e887b6-b770-4141-aafc-5d8da5356208 + Shaded + 1 + + 100;102;0;255 + + + 100;0;150;0 + + + + + + 638537389965512241 + + false + normal_estimation.ghx + + + + + 0 + + + + + + 179 + 45 + + 1.2750001 + + + + + 0 + + + + + + + 0 + + + + + not_found + F:\diffCheck\temp\test.py + not_found + F:\diffCheck\src\gh\components\DF_normal_segmentator\code.py + not_found + F:\diffCheck\src\gh\components\DF_cloud_normal_estimator\code.py + not_found + F:\diffCheck\src\gh\components\DF_normal_segmentator\code.py + F:\diffCheck\src\gh\components\DF_cloud_normal_estimator\code.py + not_found + not_found + F:\diffCheck\src\gh\components\DF_cloud_normal_estimator\code.py + not_found + F:\diffCheck\temp\test.py + not_found + + + + + IBOIS, EPFL + andrea.settimi@epfl.ch + Andrea Settimi + + + + + 2 + + + + + Robert McNeel & Associates + 00000000-0000-0000-0000-000000000000 + Grasshopper + 8.8.24170.13001 + + + + + RhinoCodePluginGH, Version=8.8.24170.13001, Culture=neutral, PublicKeyToken=552281e97c755530 + 8.8.24170.13001 + + 066d0a87-236f-4eae-a0f4-9e42f5327962 + RhinoCodePluginGH + + + + + + + + 4 + + + + + c9b2d725-6f87-4b07-af90-bd9aefef68eb + 066d0a87-236f-4eae-a0f4-9e42f5327962 + DFCloudNormalEstimator + + + + + Evaluate the normals of a point cloud. + true + 2 + + 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+ + 3b02c38b-dde9-4637-a19f-60f12a996fad + true + false + true + DFCloudNormalEstimator + DFCNormEstim + 3 + + false + false + false + false + + + + + + 145 + 57 + 126 + 84 + + + 206 + 99 + + + + + + 4 + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 1 + 08908df5-fa14-4982-9ab2-1aa0927566aa + + + + + true + The point cloud to evaluate. + db609572-19db-493f-bf66-1dfe1075320e + i_cloud + i_cloud + true + 0 + 1 + true + 2ebab33f-a47a-463d-a5e7-48b99a2c6370 + 1 + The point cloud to evaluate. + d73c9fb0-365d-458f-9fb5-f4141399311f + + + + + + 147 + 59 + 44 + 20 + + + 170.5 + 69 + + + + + + + + true + The knn search value (by default 100). + 47eff061-a4af-4168-b3c1-914b3fba72c0 + i_knn + i_knn + true + 0 + 1 + true + 0 + The knn search value (by default 100). + 48d01794-d3d8-4aef-990e-127168822244 + + + + + + 147 + 79 + 44 + 20 + + + 170.5 + 89 + + + + + + + + true + The radius search. If value is provided the search will be hybrid. + 1d1b852c-1088-4cf0-86f7-9c9a6b285890 + i_radius + i_radius + true + 0 + 1 + true + 0 + The radius search. If value is provided the search will be hybrid. + 48d01794-d3d8-4aef-990e-127168822244 + + + + + + 147 + 99 + 44 + 20 + + + 170.5 + 109 + + + + + + + + true + Switch between Open3d (true) or Cilantro (false) library. Default is Open3d. + 424f8ebc-232e-41fa-a00f-e0e6b055a928 + i_bool + i_bool + true + 0 + 1 + true + 0 + Switch between Open3d (true) or Cilantro (false) library. Default is Open3d. + d60527f5-b5af-4ef6-8970-5f96fe412559 + + + + + + 147 + 119 + 44 + 20 + + + 170.5 + 129 + + + + + + + + false + The cloud with normals computed. + 6d0f144a-3df5-46ad-bb49-206c88ce9dc6 + o_cloud + o_cloud + false + 0 + 1 + true + 0 + The cloud with normals computed. + 1c282eeb-dd16-439f-94e4-7d92b542fe8b + + + + + + 221 + 59 + 48 + 80 + + + 245 + 99 + + + + + + + + + + true + false + true + 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+ S + + + + + *.*.python + 3.* + + + + + + + + + + + c9b2d725-6f87-4b07-af90-bd9aefef68eb + 066d0a87-236f-4eae-a0f4-9e42f5327962 + DFNormalSegmentator + + + + + Cluster a point cloud based on normals. + true + 2 + + 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 + + 358a76ba-fe34-4290-8929-fe2a7f785dd7 + true + false + true + DFNormalSegmentator + DFCNorSeg + 3 + + false + false + false + false + + + + + + 312 + 87 + 232 + 124 + + + 469 + 149 + + + + + + 6 + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 08908df5-fa14-4982-9ab2-1aa0927566aa + 1 + 08908df5-fa14-4982-9ab2-1aa0927566aa + + + + + true + The point cloud to reduce the size. + b60b87f2-928f-4827-ab8e-95a36b0f4976 + i_cloud + i_cloud + true + 0 + 1 + true + 6d0f144a-3df5-46ad-bb49-206c88ce9dc6 + 1 + The point cloud to reduce the size. + d73c9fb0-365d-458f-9fb5-f4141399311f + + + + + + 314 + 89 + 140 + 20 + + + 385.5 + 99 + + + + + + + + true + The normal threshold in degrees (under that it consider to the same cluster). + 39f29f39-49d8-4370-8a6e-83ad46da989e + i_normal_threshold_degree + i_normal_threshold_degree + true + 0 + 1 + true + 0 + The normal threshold in degrees (under that it consider to the same cluster). + 9d51e32e-c038-4352-9554-f4137ca91b9a + + + + + + 314 + 109 + 140 + 20 + + + 385.5 + 119 + + + + + + + + true + The smallest cluster allowed. + 5f5ce061-8713-4244-9efd-02b616c3c272 + i_min_cluster_size + i_min_cluster_size + true + 0 + 1 + true + 0 + The smallest cluster allowed. + 48d01794-d3d8-4aef-990e-127168822244 + + + + + + 314 + 129 + 140 + 20 + + + 385.5 + 139 + + + + + + + + true + If true use knn, otherwise radius search. + 479c3899-cdd2-4cf0-97de-afdcc79c0f96 + i_use_knn_neighborhood + i_use_knn_neighborhood + true + 0 + 1 + true + 0 + If true use knn, otherwise radius search. + d60527f5-b5af-4ef6-8970-5f96fe412559 + + + + + + 314 + 149 + 140 + 20 + + + 385.5 + 159 + + + + + + + + true + The knn size. + 11f62761-5c39-4ea1-8ece-d0d8f19f0a54 + i_knn_neighborhood_size + i_knn_neighborhood_size + true + 0 + 1 + true + 0 + The knn size. + 48d01794-d3d8-4aef-990e-127168822244 + + + + + + 314 + 169 + 140 + 20 + + + 385.5 + 179 + + + + + + + + true + The size of the radius. + 6cd0038f-b2a9-4f81-b137-c6bfa172db6c + i_radius_neighborhood_size + i_radius_neighborhood_size + true + 0 + 1 + true + 0 + The size of the radius. + 9d51e32e-c038-4352-9554-f4137ca91b9a + + + + + + 314 + 189 + 140 + 20 + + + 385.5 + 199 + + + + + + + + false + The segmented clouds. + dc7440d0-d17d-45d5-80db-34cf22eb2113 + o_clusters + o_clusters + false + 0 + 1 + true + 0 + The segmented clouds. + 1c282eeb-dd16-439f-94e4-7d92b542fe8b + + + + + + 484 + 89 + 58 + 120 + + + 513 + 149 + + + + + + + + + + true + false + true + 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+ S + + + + + *.*.python + 3.* + + + + + + + + + + + 850b6368-ff26-48ce-9773-ac554ffbaeef + Point Cloud + + + + + Contains a collection of point clouds + 2ebab33f-a47a-463d-a5e7-48b99a2c6370 + Point Cloud + PCloud + false + 0 + + + + + + 47 + 58 + 50 + 24 + + + 72.454056 + 70.216644 + + + + + + 1 + + + + + 1 + {0} + + + + + + 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 + + + + + \ No newline at end of file From af0c8b83f215e9ff191df1edd39a6207c1073724 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Mon, 1 Jul 2024 17:29:41 +0200 Subject: [PATCH 28/35] commit before rebase --- src/diffCheck/segmentation/DFSegmentation.cc | 115 +++++++++++++++++++ src/diffCheckApp.cc | 28 ++++- 2 files changed, 139 insertions(+), 4 deletions(-) diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index 9e384b3e..7f7f0414 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -94,4 +94,119 @@ namespace diffCheck::segmentation return segments; } + + std::tuple, std::vector>> DFSegmentation::AssociateSegments( + std::vector> meshFaces, + std::vector> segments, + double associationThreshold) + { + std::shared_ptr unifiedPointCloud = std::make_shared(); + std::vector> segmentsRemainder; + + // iterate through the mesh faces given as function argument + for (std::shared_ptr face : meshFaces) + { + std::shared_ptr correspondingSegment; + std::shared_ptr o3dFace; + o3dFace = face->Cvt2O3DTriangleMesh(); + + // Getting the center of the mesh face + Eigen::Vector3d faceCenter; + open3d::geometry::OrientedBoundingBox orientedBoundingBox = o3dFace->GetMinimalOrientedBoundingBox(); + faceCenter = orientedBoundingBox.GetCenter(); + + if (face->NormalsFace.size() == 0) + { + o3dFace->ComputeTriangleNormals(); + face->NormalsFace.clear(); + for (auto normal : o3dFace->triangle_normals_) + { + face->NormalsFace.push_back(normal.cast()); + } + } + + // Getting the normal of the mesh face + Eigen::Vector3d faceNormal = face->NormalsFace[0]; + + // iterate through the segments to find the closest ones compared to the face center taking the normals into account + Eigen::Vector3d segmentCenter; + Eigen::Vector3d segmentNormal; + double faceDistance = std::numeric_limits::max(); + for (auto segment : segments) + { + for (auto point : segment->Points) + { + segmentCenter += point; + } + segmentCenter /= segment->GetNumPoints(); + + for (auto normal : segment->Normals) + { + segmentNormal += normal; + } + segmentNormal.normalize(); + + double currentDistance = (faceCenter - segmentCenter).norm() / std::abs(segmentNormal.dot(faceNormal)); + // if the distance is smaller than the previous one, update the distance and the corresponding segment + if (currentDistance < faceDistance) + { + correspondingSegment = segment; + faceDistance = currentDistance; + } + } + + // get the triangles of the face. This is to check if the point is in the face + std::vector faceTriangles = o3dFace->triangles_; + + for (Eigen::Vector3d point : correspondingSegment->Points) + { + bool pointInFace = false; + /* + To check if the point is in the face, we take into account all the triangles forming the face. + We calculate the area of each triangle, then check if the sum of the areas of the tree triangles + formed by two of the points of the referencr triangle and our point is equal to the reference triangle area + (within a user-defined margin). If it is the case, the triangle is in the face. + */ + for (Eigen::Vector3i triangle : faceTriangles) + { + // reference triangle + Eigen::Vector3d v0 = o3dFace->vertices_[triangle[0]]; + Eigen::Vector3d v1 = o3dFace->vertices_[triangle[1]]; + Eigen::Vector3d v2 = o3dFace->vertices_[triangle[2]]; + Eigen::Vector3d n = (v1 - v0).cross(v2 - v0); + double referenceTriangleArea = n.norm()*0.5; + + // triangle 1 + Eigen::Vector3d n1 = (v1 - v0).cross(point - v0); + double area1 = n1.norm()*0.5; + + // triangle 2 + Eigen::Vector3d n2 = (v2 - v1).cross(point - v1); + double area2 = n2.norm()*0.5; + + // triangle 3 + Eigen::Vector3d n3 = (v0 - v2).cross(point - v2); + double area3 = n3.norm()*0.5; + + double res = ( area1 + area2 + area3 - referenceTriangleArea) / referenceTriangleArea; + if (res < associationThreshold) + { + pointInFace = true; + break; + } + } + if (pointInFace) + { + unifiedPointCloud->Points.push_back(point); + } + } + // removing points from the segment that are in the face + for(Eigen::Vector3d point : unifiedPointCloud->Points) + { + correspondingSegment->Points.erase(std::remove(correspondingSegment->Points.begin(), correspondingSegment->Points.end(), point), correspondingSegment->Points.end()); + } + } + return std::make_tuple(unifiedPointCloud, segments); + } + } // namespace diffCheck::segmentation \ No newline at end of file diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 353ee915..73566daa 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -27,12 +27,32 @@ int main() true); std::cout << "number of segments:" << segments.size()<< std::endl; - std::shared_ptr vis = std::make_shared(); - vis->RenderPcdColorNormals = false; - + std::tuple, std::vector>> unifiedSegments = + diffCheck::segmentation::DFSegmentation::AssociateSegments(meshSrc, segments, 0.15); + + diffCheck::visualizer::Visualizer vis; + vis.AddMesh(meshSrc); for (auto segment : segments) vis->AddPointCloud(segment); - vis->Run(); + } + } + for(auto mesh : meshSrc) + { + vis.AddMesh(mesh); + } + + auto unified = std::get<0>(unifiedSegments); + for (int i = 0; i < unified->Points.size(); i++) + { + unified->Colors.push_back(Eigen::Vector3d(0, 0, 0)); + } + vis.AddPointCloud(unified); + + auto endTime = std::chrono::high_resolution_clock::now(); + auto duration = std::chrono::duration_cast(endTime - initTime); + std::cout << "Computation time:" << duration.count() << std::endl; + + vis.Run(); return 0; } \ No newline at end of file From b24e67f3c330c95905d55ae815c1a274a9d48437 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Mon, 1 Jul 2024 17:47:28 +0200 Subject: [PATCH 29/35] WIP: commit before pull --- src/diffCheckApp.cc | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 73566daa..9d96e89f 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -3,10 +3,7 @@ #include #include - -#include -#include - +#include int main() { @@ -36,7 +33,7 @@ int main() vis->AddPointCloud(segment); } - } + for(auto mesh : meshSrc) { vis.AddMesh(mesh); From 50cdc1746700167b6fa1f4561ab92b4fb0c1eef9 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Mon, 1 Jul 2024 20:50:20 +0200 Subject: [PATCH 30/35] WIP: rebased onto 'segmentation' branch --- src/diffCheckApp.cc | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 9d96e89f..dbca3049 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -31,8 +31,6 @@ int main() vis.AddMesh(meshSrc); for (auto segment : segments) vis->AddPointCloud(segment); - - } for(auto mesh : meshSrc) { From c8e9ad5f1fe388ea927f1276c71905743dd1f4e4 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Tue, 2 Jul 2024 22:41:49 +0200 Subject: [PATCH 31/35] CAP: AssociateClusters function implemented in the back-end --- src/diffCheck/geometry/DFPointCloud.hh | 2 +- src/diffCheck/segmentation/DFSegmentation.cc | 37 +++++++++++++---- src/diffCheck/segmentation/DFSegmentation.hh | 11 +++++ src/diffCheckApp.cc | 43 ++++++-------------- 4 files changed, 53 insertions(+), 40 deletions(-) diff --git a/src/diffCheck/geometry/DFPointCloud.hh b/src/diffCheck/geometry/DFPointCloud.hh index da72837a..9fd53f8a 100644 --- a/src/diffCheck/geometry/DFPointCloud.hh +++ b/src/diffCheck/geometry/DFPointCloud.hh @@ -81,7 +81,7 @@ namespace diffCheck::geometry */ void EstimateNormals( bool useCilantroEvaluator = false, - std::optional knn = 100, + std::optional knn = 50, std::optional searchRadius = std::nullopt); /** diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index 4beca306..be3ba639 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -94,16 +94,16 @@ namespace diffCheck::segmentation return segments; } - std::tuple, std::vector>> DFSegmentation::AssociateSegments( - std::vector> meshFaces, - std::vector> segments, + std::shared_ptr DFSegmentation::AssociateClusters( + std::vector> referenceMesh, + std::vector> &clusters, double associationThreshold) { std::shared_ptr unifiedPointCloud = std::make_shared(); std::vector> segmentsRemainder; // iterate through the mesh faces given as function argument - for (std::shared_ptr face : meshFaces) + for (std::shared_ptr face : referenceMesh) { std::shared_ptr correspondingSegment; std::shared_ptr o3dFace; @@ -131,7 +131,7 @@ namespace diffCheck::segmentation Eigen::Vector3d segmentCenter; Eigen::Vector3d segmentNormal; double faceDistance = std::numeric_limits::max(); - for (auto segment : segments) + for (auto segment : clusters) { for (auto point : segment->Points) { @@ -154,7 +154,7 @@ namespace diffCheck::segmentation } } - // get the triangles of the face. This is to check if the point is in the face + // get the triangles of the face. std::vector faceTriangles = o3dFace->triangles_; for (Eigen::Vector3d point : correspondingSegment->Points) @@ -197,15 +197,36 @@ namespace diffCheck::segmentation if (pointInFace) { unifiedPointCloud->Points.push_back(point); + unifiedPointCloud->Normals.push_back( + correspondingSegment->Normals[std::distance( + correspondingSegment->Points.begin(), + std::find(correspondingSegment->Points.begin(), + correspondingSegment->Points.end(), + point))] + ); } } // removing points from the segment that are in the face for(Eigen::Vector3d point : unifiedPointCloud->Points) { - correspondingSegment->Points.erase(std::remove(correspondingSegment->Points.begin(), correspondingSegment->Points.end(), point), correspondingSegment->Points.end()); + correspondingSegment->Points.erase( + std::remove( + correspondingSegment->Points.begin(), + correspondingSegment->Points.end(), + point), + correspondingSegment->Points.end()); + } + if (correspondingSegment->GetNumPoints() == 0) + { + clusters.erase( + std::remove( + clusters.begin(), + clusters.end(), + correspondingSegment), + clusters.end()); } } - return std::make_tuple(unifiedPointCloud, segments); + return unifiedPointCloud; } } // namespace diffCheck::segmentation \ No newline at end of file diff --git a/src/diffCheck/segmentation/DFSegmentation.hh b/src/diffCheck/segmentation/DFSegmentation.hh index 7c6c67f3..f6807a1b 100644 --- a/src/diffCheck/segmentation/DFSegmentation.hh +++ b/src/diffCheck/segmentation/DFSegmentation.hh @@ -24,5 +24,16 @@ namespace diffCheck::segmentation int knnNeighborhoodSize = 10, float radiusNeighborhoodSize = 10.f, bool colorClusters = false); + + /** @brief Associates point cloud segments to mesh faces. It uses the center of mass of the segments and the mesh faces to find correspondances. For each mesh face it then iteratively associate the points of the segment that are actually on the mesh face. + * @param referenceMesh the vector of mesh faces to associate with the segments + * @param clusters the vector of clusters from cilantro to associate with the mesh faces of the reference mesh + * @param associationThreshold the threshold to consider the points of a segment and a mesh face as associable. The lower the number, the more strict the association will be and some poinnts on the mesh face might be wrongfully excluded. + * @return std::shared_ptr The unified segments + */ + static std::shared_ptr DFSegmentation::AssociateClusters( + std::vector> referenceMesh, + std::vector> &clusters, + double associationThreshold); }; } // namespace diffCheck::segmentation \ No newline at end of file diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 70be0883..42644f20 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -33,49 +33,31 @@ int main() pcdSrc->EstimateNormals(); segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation( pcdSrc, - 20.f, - 10, + 2.0f, + 100, true, - 50, + 30, 0.5f, - true); + false); std::cout << "number of segments:" << segments.size()<< std::endl; - std::tuple, std::vector>> unifiedSegments = - diffCheck::segmentation::DFSegmentation::AssociateSegments(meshSrc, segments, 0.15); + std::shared_ptr unifiedSegments = + diffCheck::segmentation::DFSegmentation::AssociateSegments(meshSrc, segments, .1); diffCheck::visualizer::Visualizer vis; - for (auto segment : std::get<1>(unifiedSegments)) + for (auto segment : segments) { // colorize the segments with random colors double r = static_cast(rand()) / RAND_MAX; double g = static_cast(rand()) / RAND_MAX; double b = static_cast(rand()) / RAND_MAX; + segment->Colors.clear(); for (int i = 0; i < segment->Points.size(); i++) { segment->Colors.push_back(Eigen::Vector3d(r, g, b)); } - vis.AddPointCloud(segment); - - // // colorize the segments with random colors - // double r = static_cast(rand()) / RAND_MAX; - // double g = static_cast(rand()) / RAND_MAX; - // double b = static_cast(rand()) / RAND_MAX; - // for (int i = 0; i < std::get<0>(unifiedSegments)->Points.size(); i++) - // { - // std::get<0>(unifiedSegments)->Colors.push_back(Eigen::Vector3d(r, g, b)); - // } - // vis.AddPointCloud(std::get<0>(unifiedSegments)); - - // for (auto segemt : std::get<1>(unifiedSegments)) - // { - // for (int i = 0; i < segemt->Points.size(); i++) - // { - // segemt->Colors.push_back(Eigen::Vector3d(0, 0, 1)); - // } - // vis.AddPointCloud(segemt); - // } + // vis.AddPointCloud(segment); } for(auto mesh : meshSrc) @@ -83,12 +65,11 @@ int main() vis.AddMesh(mesh); } - auto unified = std::get<0>(unifiedSegments); - for (int i = 0; i < unified->Points.size(); i++) + for (int i = 0; i < unifiedSegments->Points.size(); i++) { - unified->Colors.push_back(Eigen::Vector3d(0, 0, 0)); + unifiedSegments->Colors.push_back(Eigen::Vector3d(0, 0, 0)); } - vis.AddPointCloud(unified); + vis.AddPointCloud(unifiedSegments); auto endTime = std::chrono::high_resolution_clock::now(); auto duration = std::chrono::duration_cast(endTime - initTime); From 032f4289946bcf0a4042b33c9b6c2c0c26f7d34f Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Sat, 6 Jul 2024 20:11:31 +0200 Subject: [PATCH 32/35] UPDATE: CleanUnassociatedClusters method added, and PR remarks included --- src/diffCheck/geometry/DFMesh.cc | 16 +++ src/diffCheck/geometry/DFMesh.hh | 7 + src/diffCheck/segmentation/DFSegmentation.cc | 133 +++++++++++++++++-- src/diffCheck/segmentation/DFSegmentation.hh | 21 ++- src/diffCheckApp.cc | 33 +++-- src/diffCheckBindings.cc | 11 +- 6 files changed, 190 insertions(+), 31 deletions(-) diff --git a/src/diffCheck/geometry/DFMesh.cc b/src/diffCheck/geometry/DFMesh.cc index 61a64ae3..d7d24055 100644 --- a/src/diffCheck/geometry/DFMesh.cc +++ b/src/diffCheck/geometry/DFMesh.cc @@ -79,6 +79,22 @@ namespace diffCheck::geometry return bboxPts; } + Eigen::Vector3d DFMesh::GetFirstNormal() + { + if (this->NormalsFace.size() == 0) + { + std::shared_ptr O3DTriangleMesh = this->Cvt2O3DTriangleMesh(); + O3DTriangleMesh->ComputeTriangleNormals(); + this->NormalsFace.resize(O3DTriangleMesh->triangle_normals_.size()); + for (size_t i = 0; i < O3DTriangleMesh->triangle_normals_.size(); i++) + { + this->NormalsFace[i] = O3DTriangleMesh->triangle_normals_[i]; + } + + } + return this->NormalsFace[0]; + } + void DFMesh::LoadFromPLY(const std::string &path) { std::shared_ptr tempMesh_ptr = diffCheck::io::ReadPLYMeshFromFile(path); diff --git a/src/diffCheck/geometry/DFMesh.hh b/src/diffCheck/geometry/DFMesh.hh index f00549b0..ff37793b 100644 --- a/src/diffCheck/geometry/DFMesh.hh +++ b/src/diffCheck/geometry/DFMesh.hh @@ -71,6 +71,13 @@ namespace diffCheck::geometry */ std::vector GetTightBoundingBox(); + /** + * @brief Get the first normal of the mesh. Meant for planar meshes + * + * @return Eigen::Vector3d the normal + */ + Eigen::Vector3d GetFirstNormal(); + public: ///< I/O loader /** * @brief Read a mesh from a file diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index be3ba639..38cf552c 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -94,7 +94,7 @@ namespace diffCheck::segmentation return segments; } - std::shared_ptr DFSegmentation::AssociateClusters( + std::shared_ptr DFSegmentation::AssociateClustersToMeshes( std::vector> referenceMesh, std::vector> &clusters, double associationThreshold) @@ -111,21 +111,12 @@ namespace diffCheck::segmentation // Getting the center of the mesh face Eigen::Vector3d faceCenter; - open3d::geometry::OrientedBoundingBox orientedBoundingBox = o3dFace->GetMinimalOrientedBoundingBox(); - faceCenter = orientedBoundingBox.GetCenter(); + // open3d::geometry::OrientedBoundingBox orientedBoundingBox = o3dFace->GetMinimalOrientedBoundingBox(); + faceCenter = o3dFace->GetCenter(); - if (face->NormalsFace.size() == 0) - { - o3dFace->ComputeTriangleNormals(); - face->NormalsFace.clear(); - for (auto normal : o3dFace->triangle_normals_) - { - face->NormalsFace.push_back(normal.cast()); - } - } - // Getting the normal of the mesh face - Eigen::Vector3d faceNormal = face->NormalsFace[0]; + + Eigen::Vector3d faceNormal = face->GetFirstNormal(); // iterate through the segments to find the closest ones compared to the face center taking the normals into account Eigen::Vector3d segmentCenter; @@ -229,4 +220,118 @@ namespace diffCheck::segmentation return unifiedPointCloud; } + void DFSegmentation::CleanUnassociatedClusters( + std::vector> &unassociatedClusters, + std::vector> &existingPointCloudSegments, + std::vector>> meshes, + double associationThreshold) + { + for (std::shared_ptr cluster : unassociatedClusters) + { + Eigen::Vector3d clusterCenter; + Eigen::Vector3d clusterNormal; + for (Eigen::Vector3d point : cluster->Points) + { + clusterCenter += point; + } + clusterCenter /= cluster->GetNumPoints(); + for (Eigen::Vector3d normal : cluster->Normals) + { + clusterNormal += normal; + } + clusterNormal /= cluster->GetNumPoints(); + + std::shared_ptr testMesh; + int meshIndex; + int faceIndex ; + double distance = std::numeric_limits::max(); + for (std::vector> piece : meshes) + { + for (std::shared_ptr meshFace : piece) + { + Eigen::Vector3d faceCenter; + Eigen::Vector3d faceNormal; + + std::shared_ptr o3dFace = meshFace->Cvt2O3DTriangleMesh(); + + Eigen::Vector3d faceNormal = meshFace->GetFirstNormal(); + + // std::shared_ptr orientedBoundingBox(new open3d::geometry::OrientedBoundingBox(o3dFace->GetMinimalOrientedBoundingBox())); + faceCenter = o3dFace->GetCenter(); + /* + To make sure we select the right meshFace, we add another metric: + Indeed, from experimentation, sometimes the wrong mesh face is selected, because it is parallel to the correct one + (so the normal don't play a role) and the center of the face is closer to the cluster center than the correct face. + To prevent this, we take into the account the angle between the line linking the center of the meshFace considered + and the center of the point cloud cluster and the normal of the cluster. This value should be close to pi/2 + + The following two lines are not super optimized but more readable thatn the optimized version + */ + + double clusterNormalToJunctionLineAngle = std::abs(std::acos(clusterNormal.dot((clusterCenter - faceCenter).normalized()))); + + double currentDistance = (clusterCenter - faceCenter).norm() * std::pow(std::cos(clusterNormalToJunctionLineAngle), 2) / std::pow(clusterNormal.dot(faceNormal), 2); + if (currentDistance < distance) + { + distance = currentDistance; + meshIndex = std::distance(meshes.begin(), std::find(meshes.begin(), meshes.end(), piece)); + faceIndex = std::distance(piece.begin(), std::find(piece.begin(), piece.end(), meshFace)); + testMesh = meshFace; + } + } + } + // diffCheck::visualizer::Visualizer vis; + // vis.AddPointCloud(cluster); + // vis.AddMesh(meshes[meshIndex][faceIndex]); + // vis.Run(); + std::shared_ptr completed_segment = existingPointCloudSegments[meshIndex]; + for (Eigen::Vector3d point : cluster->Points) + { + bool pointInFace = false; + std::shared_ptr o3dFace = meshes[meshIndex][faceIndex]->Cvt2O3DTriangleMesh(); + std::vector faceTriangles = o3dFace->triangles_; + for (Eigen::Vector3i triangle : faceTriangles) + { + Eigen::Vector3d v0 = o3dFace->vertices_[triangle[0]]; + Eigen::Vector3d v1 = o3dFace->vertices_[triangle[1]]; + Eigen::Vector3d v2 = o3dFace->vertices_[triangle[2]]; + Eigen::Vector3d n = (v1 - v0).cross(v2 - v0); + double referenceTriangleArea = n.norm()*0.5; + Eigen::Vector3d n1 = (v1 - v0).cross(point - v0); + double area1 = n1.norm()*0.5; + Eigen::Vector3d n2 = (v2 - v1).cross(point - v1); + double area2 = n2.norm()*0.5; + Eigen::Vector3d n3 = (v0 - v2).cross(point - v2); + double area3 = n3.norm()*0.5; + double res = ( area1 + area2 + area3 - referenceTriangleArea) / referenceTriangleArea; + if (res < associationThreshold) + { + pointInFace = true; + break; + } + } + if (pointInFace) + { + completed_segment->Points.push_back(point); + completed_segment->Normals.push_back(cluster->Normals[std::distance(cluster->Points.begin(), std::find(cluster->Points.begin(), cluster->Points.end(), point))]); + } + } + std::vector indicesToRemove; + for (int i = 0; i < cluster->Points.size(); ++i) + { + if (std::find(completed_segment->Points.begin(), completed_segment->Points.end(), cluster->Points[i]) != completed_segment->Points.end()) + { + indicesToRemove.push_back(i); + } + } + + for (auto it = indicesToRemove.rbegin(); it != indicesToRemove.rend(); ++it) + { + std::swap(cluster->Points[*it], cluster->Points.back()); + cluster->Points.pop_back(); + std::swap(cluster->Normals[*it], cluster->Normals.back()); + cluster->Normals.pop_back(); + } + } + }; } // namespace diffCheck::segmentation \ No newline at end of file diff --git a/src/diffCheck/segmentation/DFSegmentation.hh b/src/diffCheck/segmentation/DFSegmentation.hh index f6807a1b..251f0ed5 100644 --- a/src/diffCheck/segmentation/DFSegmentation.hh +++ b/src/diffCheck/segmentation/DFSegmentation.hh @@ -5,7 +5,7 @@ namespace diffCheck::segmentation { class DFSegmentation { - public: + public: ///< main segmentation methods /** @brief Downsamples and segments the point cloud using Cilantro's ConnectedComponentExtraction3f method. It uses the normals' variations to detect different parts in the point cloud. * @param pointCloud the point cloud to segment * @param normalThresholdDegree the normal threshold in degrees do differentiate segments. The higher the number, the more tolerent the segmentation will be to normal differences @@ -25,15 +25,28 @@ namespace diffCheck::segmentation float radiusNeighborhoodSize = 10.f, bool colorClusters = false); - /** @brief Associates point cloud segments to mesh faces. It uses the center of mass of the segments and the mesh faces to find correspondances. For each mesh face it then iteratively associate the points of the segment that are actually on the mesh face. + public: ///< segmentation refinement methods + /** @brief Associates point cloud segments to mesh faces and merges them. It uses the center of mass of the segments and the mesh faces to find correspondances. For each mesh face it then iteratively associate the points of the segment that are actually on the mesh face. * @param referenceMesh the vector of mesh faces to associate with the segments * @param clusters the vector of clusters from cilantro to associate with the mesh faces of the reference mesh - * @param associationThreshold the threshold to consider the points of a segment and a mesh face as associable. The lower the number, the more strict the association will be and some poinnts on the mesh face might be wrongfully excluded. + * @param associationThreshold the threshold to consider the points of a segment and a mesh face as associable. It is the ratio between the surface of the closest mesh triangle and the sum of the areas of the three triangles that form the rest of the pyramid described by the mesh triangle and the point we want to associate or not. The lower the number, the more strict the association will be and some poinnts on the mesh face might be wrongfully excluded. * @return std::shared_ptr The unified segments */ - static std::shared_ptr DFSegmentation::AssociateClusters( + static std::shared_ptr DFSegmentation::AssociateClustersToMeshes( std::vector> referenceMesh, std::vector> &clusters, double associationThreshold); + + /** @brief Iterated through clusters and finds the corresponding mesh face. It then associates the points of the cluster that are on the mesh face to the segment already associated with the mesh face. + * @param unassociatedClusters the clusters from the normal-based segmentatinon that haven't been associated yet. + * @param existingPointCloudSegments the already associated segments + * @param Meshes the mesh faces for all the model. This is used to associate the clusters to the mesh faces. + * @param associationThreshold the threshold to consider the points of a segment and a mesh face as associable. It is the ratio between the surface of the closest mesh triangle and the sum of the areas of the three triangles that form the rest of the pyramid described by the mesh triangle and the point we want to associate or not. The lower the number, the more strict the association will be and some poinnts on the mesh face might be wrongfully excluded. + */ + static void DFSegmentation::CleanUnassociatedClusters( + std::vector> &unassociatedClusters, + std::vector> &existingPointCloudSegments, + std::vector>> Meshes, + double associationThreshold); }; } // namespace diffCheck::segmentation \ No newline at end of file diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 42644f20..1254f823 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -16,7 +16,7 @@ int main() std::vector> segments; std::vector meshPaths; - std::string meshesFolderPath = R"(C:\Users\localuser\Desktop\again_other_meshes_for_diffCheck\)"; + std::string meshesFolderPath = R"(C:\Users\localuser\Desktop\again_other_meshes_for_diffCheck\6\)"; for (int i = 1; i <= 4; i++) { @@ -26,25 +26,30 @@ int main() meshSrc.push_back(mesh); } - std::string pathPcdSrc = R"(C:\Users\localuser\Desktop\cleaned_AC_pc_90deg.ply)"; + std::string pathPcdSrc = R"(C:\Users\localuser\Desktop\again_other_meshes_for_diffCheck\source_pc.ply)"; pcdSrc->LoadFromPLY(pathPcdSrc); - pcdSrc->EstimateNormals(); + pcdSrc->EstimateNormals(false, 40); + auto intermediateTime = std::chrono::high_resolution_clock::now(); segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation( pcdSrc, 2.0f, - 100, + 200, true, - 30, + 100, 0.5f, false); std::cout << "number of segments:" << segments.size()<< std::endl; std::shared_ptr unifiedSegments = - diffCheck::segmentation::DFSegmentation::AssociateSegments(meshSrc, segments, .1); - - diffCheck::visualizer::Visualizer vis; + diffCheck::segmentation::DFSegmentation::AssociateClustersToMeshes(meshSrc, segments, .15); + + diffCheck::segmentation::DFSegmentation::CleanUnassociatedClusters(segments, std::vector>{unifiedSegments}, std::vector>>{meshSrc}, .15); + + std::cout << "number of points in unified segments:" << unifiedSegments->Points.size() << std::endl; + + diffCheck::visualizer::Visualizer vis(std::string("DiffCheckApp"), 1000, 800, 50, 50, false, true, false); for (auto segment : segments) { // colorize the segments with random colors @@ -55,9 +60,9 @@ int main() segment->Colors.clear(); for (int i = 0; i < segment->Points.size(); i++) { - segment->Colors.push_back(Eigen::Vector3d(r, g, b)); + segment->Colors.push_back(Eigen::Vector3d(0, 0, 0)); } - // vis.AddPointCloud(segment); + vis.AddPointCloud(segment); } for(auto mesh : meshSrc) @@ -67,14 +72,18 @@ int main() for (int i = 0; i < unifiedSegments->Points.size(); i++) { - unifiedSegments->Colors.push_back(Eigen::Vector3d(0, 0, 0)); + unifiedSegments->Colors.push_back(Eigen::Vector3d(0, 0, 1)); } vis.AddPointCloud(unifiedSegments); auto endTime = std::chrono::high_resolution_clock::now(); auto duration = std::chrono::duration_cast(endTime - initTime); - std::cout << "Computation time:" << duration.count() << std::endl; + auto segmentationTime = std::chrono::duration_cast(endTime - intermediateTime); + std::cout << "Total computation time:" << duration.count() << std::endl; + std::cout << "Segmentation time:" << segmentationTime.count() << std::endl; vis.Run(); + + return 0; } \ No newline at end of file diff --git a/src/diffCheckBindings.cc b/src/diffCheckBindings.cc index 9ed74228..7113c685 100644 --- a/src/diffCheckBindings.cc +++ b/src/diffCheckBindings.cc @@ -178,5 +178,14 @@ PYBIND11_MODULE(diffcheck_bindings, m) { py::arg("use_knn_neighborhood") = true, py::arg("knn_neighborhood_size") = 10, py::arg("radius_neighborhood_size") = 0.1, - py::arg("color_clusters") = false); + py::arg("color_clusters") = false) + .def_static("associate_clusters", &diffCheck::segmentation::DFSegmentation::AssociateClustersToMeshes, + py::arg("reference_mesh"), + py::arg("clusters"), + py::arg("association_threshold") = 0.1) + .def_static("clean_unassociated_clusters", &diffCheck::segmentation::DFSegmentation::CleanUnassociatedClusters, + py::arg("unassociated_clusters"), + py::arg("existing_point_cloud_segments"), + py::arg("meshes"), + py::arg("association_threshold") = 0.1); } \ No newline at end of file From b688ec96493a618ff9dd88752cb5f4489a37f91b Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Wed, 10 Jul 2024 15:59:06 +0200 Subject: [PATCH 33/35] UPDATE-WIP: add IsPointOnFace function, and angle threshold parameter for cluster to mesh face association --- src/diffCheck/segmentation/DFSegmentation.cc | 125 ++++++++----------- src/diffCheck/segmentation/DFSegmentation.hh | 17 ++- 2 files changed, 67 insertions(+), 75 deletions(-) diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index 38cf552c..dbc3ed4d 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -97,6 +97,7 @@ namespace diffCheck::segmentation std::shared_ptr DFSegmentation::AssociateClustersToMeshes( std::vector> referenceMesh, std::vector> &clusters, + double angleThreshold, double associationThreshold) { std::shared_ptr unifiedPointCloud = std::make_shared(); @@ -111,12 +112,12 @@ namespace diffCheck::segmentation // Getting the center of the mesh face Eigen::Vector3d faceCenter; - // open3d::geometry::OrientedBoundingBox orientedBoundingBox = o3dFace->GetMinimalOrientedBoundingBox(); faceCenter = o3dFace->GetCenter(); // Getting the normal of the mesh face Eigen::Vector3d faceNormal = face->GetFirstNormal(); + faceNormal.normalize(); // iterate through the segments to find the closest ones compared to the face center taking the normals into account Eigen::Vector3d segmentCenter; @@ -138,7 +139,7 @@ namespace diffCheck::segmentation double currentDistance = (faceCenter - segmentCenter).norm() / std::abs(segmentNormal.dot(faceNormal)); // if the distance is smaller than the previous one, update the distance and the corresponding segment - if (currentDistance < faceDistance) + if (std::abs(faceNormal.dot(segmentNormal)) > angleThreshold && currentDistance < faceDistance) { correspondingSegment = segment; faceDistance = currentDistance; @@ -146,46 +147,12 @@ namespace diffCheck::segmentation } // get the triangles of the face. - std::vector faceTriangles = o3dFace->triangles_; + std::vector faceTriangles = face->Faces; for (Eigen::Vector3d point : correspondingSegment->Points) { bool pointInFace = false; - /* - To check if the point is in the face, we take into account all the triangles forming the face. - We calculate the area of each triangle, then check if the sum of the areas of the tree triangles - formed by two of the points of the referencr triangle and our point is equal to the reference triangle area - (within a user-defined margin). If it is the case, the triangle is in the face. - */ - for (Eigen::Vector3i triangle : faceTriangles) - { - // reference triangle - Eigen::Vector3d v0 = o3dFace->vertices_[triangle[0]]; - Eigen::Vector3d v1 = o3dFace->vertices_[triangle[1]]; - Eigen::Vector3d v2 = o3dFace->vertices_[triangle[2]]; - Eigen::Vector3d n = (v1 - v0).cross(v2 - v0); - double referenceTriangleArea = n.norm()*0.5; - - // triangle 1 - Eigen::Vector3d n1 = (v1 - v0).cross(point - v0); - double area1 = n1.norm()*0.5; - - // triangle 2 - Eigen::Vector3d n2 = (v2 - v1).cross(point - v1); - double area2 = n2.norm()*0.5; - - // triangle 3 - Eigen::Vector3d n3 = (v0 - v2).cross(point - v2); - double area3 = n3.norm()*0.5; - - double res = ( area1 + area2 + area3 - referenceTriangleArea) / referenceTriangleArea; - if (res < associationThreshold) - { - pointInFace = true; - break; - } - } - if (pointInFace) + if (DFSegmentation::IsPointOnFace(face, point, associationThreshold)) { unifiedPointCloud->Points.push_back(point); unifiedPointCloud->Normals.push_back( @@ -224,6 +191,7 @@ namespace diffCheck::segmentation std::vector> &unassociatedClusters, std::vector> &existingPointCloudSegments, std::vector>> meshes, + double angleThreshold, double associationThreshold) { for (std::shared_ptr cluster : unassociatedClusters) @@ -239,7 +207,7 @@ namespace diffCheck::segmentation { clusterNormal += normal; } - clusterNormal /= cluster->GetNumPoints(); + clusterNormal.normalize(); std::shared_ptr testMesh; int meshIndex; @@ -254,9 +222,8 @@ namespace diffCheck::segmentation std::shared_ptr o3dFace = meshFace->Cvt2O3DTriangleMesh(); - Eigen::Vector3d faceNormal = meshFace->GetFirstNormal(); - - // std::shared_ptr orientedBoundingBox(new open3d::geometry::OrientedBoundingBox(o3dFace->GetMinimalOrientedBoundingBox())); + faceNormal = meshFace->GetFirstNormal(); + faceNormal.normalize(); faceCenter = o3dFace->GetCenter(); /* To make sure we select the right meshFace, we add another metric: @@ -265,13 +232,13 @@ namespace diffCheck::segmentation To prevent this, we take into the account the angle between the line linking the center of the meshFace considered and the center of the point cloud cluster and the normal of the cluster. This value should be close to pi/2 - The following two lines are not super optimized but more readable thatn the optimized version + The following two lines are not super optimized but more readable than the optimized version */ double clusterNormalToJunctionLineAngle = std::abs(std::acos(clusterNormal.dot((clusterCenter - faceCenter).normalized()))); - + double currentDistance = (clusterCenter - faceCenter).norm() * std::pow(std::cos(clusterNormalToJunctionLineAngle), 2) / std::pow(clusterNormal.dot(faceNormal), 2); - if (currentDistance < distance) + if (std::abs(faceNormal.dot(clusterNormal)) > angleThreshold && currentDistance < distance) { distance = currentDistance; meshIndex = std::distance(meshes.begin(), std::find(meshes.begin(), meshes.end(), piece)); @@ -280,43 +247,19 @@ namespace diffCheck::segmentation } } } - // diffCheck::visualizer::Visualizer vis; - // vis.AddPointCloud(cluster); - // vis.AddMesh(meshes[meshIndex][faceIndex]); - // vis.Run(); + std::shared_ptr completed_segment = existingPointCloudSegments[meshIndex]; for (Eigen::Vector3d point : cluster->Points) { - bool pointInFace = false; - std::shared_ptr o3dFace = meshes[meshIndex][faceIndex]->Cvt2O3DTriangleMesh(); - std::vector faceTriangles = o3dFace->triangles_; - for (Eigen::Vector3i triangle : faceTriangles) - { - Eigen::Vector3d v0 = o3dFace->vertices_[triangle[0]]; - Eigen::Vector3d v1 = o3dFace->vertices_[triangle[1]]; - Eigen::Vector3d v2 = o3dFace->vertices_[triangle[2]]; - Eigen::Vector3d n = (v1 - v0).cross(v2 - v0); - double referenceTriangleArea = n.norm()*0.5; - Eigen::Vector3d n1 = (v1 - v0).cross(point - v0); - double area1 = n1.norm()*0.5; - Eigen::Vector3d n2 = (v2 - v1).cross(point - v1); - double area2 = n2.norm()*0.5; - Eigen::Vector3d n3 = (v0 - v2).cross(point - v2); - double area3 = n3.norm()*0.5; - double res = ( area1 + area2 + area3 - referenceTriangleArea) / referenceTriangleArea; - if (res < associationThreshold) - { - pointInFace = true; - break; - } - } - if (pointInFace) + std::vector faceTriangles = meshes[meshIndex][faceIndex]->Faces; + if (IsPointOnFace(meshes[meshIndex][faceIndex], point, associationThreshold)) { completed_segment->Points.push_back(point); completed_segment->Normals.push_back(cluster->Normals[std::distance(cluster->Points.begin(), std::find(cluster->Points.begin(), cluster->Points.end(), point))]); } } std::vector indicesToRemove; + for (int i = 0; i < cluster->Points.size(); ++i) { if (std::find(completed_segment->Points.begin(), completed_segment->Points.end(), cluster->Points[i]) != completed_segment->Points.end()) @@ -324,7 +267,6 @@ namespace diffCheck::segmentation indicesToRemove.push_back(i); } } - for (auto it = indicesToRemove.rbegin(); it != indicesToRemove.rend(); ++it) { std::swap(cluster->Points[*it], cluster->Points.back()); @@ -334,4 +276,39 @@ namespace diffCheck::segmentation } } }; + + bool DFSegmentation::IsPointOnFace( + std::shared_ptr face, + Eigen::Vector3d point, + double associationThreshold) + { + /* + To check if the point is in the face, we take into account all the triangles forming the face. + We calculate the area of each triangle, then check if the sum of the areas of the tree triangles + formed by two of the points of the referencr triangle and our point is equal to the reference triangle area + (within a user-defined margin). If it is the case, the triangle is in the face. + */ + std::vector faceTriangles = face->Faces; + for (Eigen::Vector3i triangle : faceTriangles) + { + Eigen::Vector3d v0 = face->Vertices[triangle[0]]; + Eigen::Vector3d v1 = face->Vertices[triangle[1]]; + Eigen::Vector3d v2 = face->Vertices[triangle[2]]; + Eigen::Vector3d n = (v1 - v0).cross(v2 - v0); + double referenceTriangleArea = n.norm()*0.5; + Eigen::Vector3d n1 = (v1 - v0).cross(point - v0); + double area1 = n1.norm()*0.5; + Eigen::Vector3d n2 = (v2 - v1).cross(point - v1); + double area2 = n2.norm()*0.5; + Eigen::Vector3d n3 = (v0 - v2).cross(point - v2); + double area3 = n3.norm()*0.5; + double res = ( area1 + area2 + area3 - referenceTriangleArea) / referenceTriangleArea; + if (res < associationThreshold) + { + return true; + break; + } + } + return false; + } } // namespace diffCheck::segmentation \ No newline at end of file diff --git a/src/diffCheck/segmentation/DFSegmentation.hh b/src/diffCheck/segmentation/DFSegmentation.hh index 251f0ed5..7dc126fa 100644 --- a/src/diffCheck/segmentation/DFSegmentation.hh +++ b/src/diffCheck/segmentation/DFSegmentation.hh @@ -29,24 +29,39 @@ namespace diffCheck::segmentation /** @brief Associates point cloud segments to mesh faces and merges them. It uses the center of mass of the segments and the mesh faces to find correspondances. For each mesh face it then iteratively associate the points of the segment that are actually on the mesh face. * @param referenceMesh the vector of mesh faces to associate with the segments * @param clusters the vector of clusters from cilantro to associate with the mesh faces of the reference mesh + * @param angleThreshold the threshold to consider the a cluster as potential candidate for association. the value passed is the minimum cosine of the angles. A value of 0.99 requires perfect alignment, while a value of 0.8 is more permissive. A value of 0 allows any angle between the normal of the cluster and the normal of the mesh face. * @param associationThreshold the threshold to consider the points of a segment and a mesh face as associable. It is the ratio between the surface of the closest mesh triangle and the sum of the areas of the three triangles that form the rest of the pyramid described by the mesh triangle and the point we want to associate or not. The lower the number, the more strict the association will be and some poinnts on the mesh face might be wrongfully excluded. * @return std::shared_ptr The unified segments */ static std::shared_ptr DFSegmentation::AssociateClustersToMeshes( std::vector> referenceMesh, std::vector> &clusters, - double associationThreshold); + double angleThreshold = 0.95, + double associationThreshold = 0.1); /** @brief Iterated through clusters and finds the corresponding mesh face. It then associates the points of the cluster that are on the mesh face to the segment already associated with the mesh face. * @param unassociatedClusters the clusters from the normal-based segmentatinon that haven't been associated yet. * @param existingPointCloudSegments the already associated segments * @param Meshes the mesh faces for all the model. This is used to associate the clusters to the mesh faces. + * * @param angleThreshold the threshold to consider the a cluster as potential candidate for association. the value passed is the minimum cosine of the angles. A value of 0.99 requires perfect alignment, while a value of 0.8 is more permissive. A value of 0 allows any angle between the normal of the cluster and the normal of the mesh face. * @param associationThreshold the threshold to consider the points of a segment and a mesh face as associable. It is the ratio between the surface of the closest mesh triangle and the sum of the areas of the three triangles that form the rest of the pyramid described by the mesh triangle and the point we want to associate or not. The lower the number, the more strict the association will be and some poinnts on the mesh face might be wrongfully excluded. */ static void DFSegmentation::CleanUnassociatedClusters( std::vector> &unassociatedClusters, std::vector> &existingPointCloudSegments, std::vector>> Meshes, + double angleThreshold = 0.95, + double associationThreshold = 0.1); + + private: ///< helper methods + /** @brief private method to check if a point is on a face of a triangle mesh triangle, within a certain association threshold. This takes into account the fact that, in 3D, a point can be "above" a triangle of a triangle mesh but still considered as being on the mesh face. + * @param face the triangle mesh face to check the point against + * @param point the point to check + * @param associationThreshold the threshold to consider the point associable to the mesh. It is the ratio between the surface of the closest mesh triangle and the sum of the areas of the three triangles that form the rest of the pyramid described by the mesh triangle and the point we want to associate or not. The lower the number, the more strict the association will be and some poinnts on the mesh face might be wrongfully excluded. + */ + static bool DFSegmentation::IsPointOnFace( + std::shared_ptr face, + Eigen::Vector3d point, double associationThreshold); }; } // namespace diffCheck::segmentation \ No newline at end of file From 111c484c0f9c3bfa6c94eba58c9a48faf5bac2f6 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Wed, 10 Jul 2024 16:55:22 +0200 Subject: [PATCH 34/35] UPDATE: adding some preventive checks to the methods in DFSegmentation --- src/diffCheck/segmentation/DFSegmentation.cc | 63 +++++++++++++++----- 1 file changed, 48 insertions(+), 15 deletions(-) diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index dbc3ed4d..1f07e354 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -104,37 +104,37 @@ namespace diffCheck::segmentation std::vector> segmentsRemainder; // iterate through the mesh faces given as function argument + if (referenceMesh.size() == 0) + { + DIFFCHECK_WARN("No mesh faces to associate with the clusters. Returning the first clusters untouched."); + return clusters[0]; + } for (std::shared_ptr face : referenceMesh) { std::shared_ptr correspondingSegment; - std::shared_ptr o3dFace; - o3dFace = face->Cvt2O3DTriangleMesh(); // Getting the center of the mesh face - Eigen::Vector3d faceCenter; - faceCenter = o3dFace->GetCenter(); + Eigen::Vector3d faceCenter = face->Cvt2O3DTriangleMesh()->GetCenter(); // Getting the normal of the mesh face - Eigen::Vector3d faceNormal = face->GetFirstNormal(); faceNormal.normalize(); - // iterate through the segments to find the closest ones compared to the face center taking the normals into account + // iterate through the segments to find the closest one compared to the face center taking the normals into account Eigen::Vector3d segmentCenter; Eigen::Vector3d segmentNormal; double faceDistance = std::numeric_limits::max(); + if (clusters.size() == 0) + { + DIFFCHECK_WARN("No clusters to associate with the mesh faces. Returning the first mesh face untouched."); + return clusters[0]; + } for (auto segment : clusters) { - for (auto point : segment->Points) - { - segmentCenter += point; - } + for (auto point : segment->Points){segmentCenter += point;} segmentCenter /= segment->GetNumPoints(); - for (auto normal : segment->Normals) - { - segmentNormal += normal; - } + for (auto normal : segment->Normals){segmentNormal += normal;} segmentNormal.normalize(); double currentDistance = (faceCenter - segmentCenter).norm() / std::abs(segmentNormal.dot(faceNormal)); @@ -149,6 +149,11 @@ namespace diffCheck::segmentation // get the triangles of the face. std::vector faceTriangles = face->Faces; + if (correspondingSegment == nullptr) + { + DIFFCHECK_WARN("No segment found for the face. Skipping the face."); + continue; + } for (Eigen::Vector3d point : correspondingSegment->Points) { bool pointInFace = false; @@ -165,6 +170,11 @@ namespace diffCheck::segmentation } } // removing points from the segment that are in the face + if (unifiedPointCloud->GetNumPoints() == 0) + { + DIFFCHECK_WARN("No point was associated to this segment. Skipping the segment."); + continue; + } for(Eigen::Vector3d point : unifiedPointCloud->Points) { correspondingSegment->Points.erase( @@ -174,6 +184,7 @@ namespace diffCheck::segmentation point), correspondingSegment->Points.end()); } + // removing the corresponding segment if it is empty after the point transfer if (correspondingSegment->GetNumPoints() == 0) { clusters.erase( @@ -194,10 +205,21 @@ namespace diffCheck::segmentation double angleThreshold, double associationThreshold) { + if (unassociatedClusters.size() == 0) + { + DIFFCHECK_WARN("No unassociated clusters. Nothing is done"); + return; + } for (std::shared_ptr cluster : unassociatedClusters) { Eigen::Vector3d clusterCenter; Eigen::Vector3d clusterNormal; + + if (cluster->GetNumPoints() == 0) + { + DIFFCHECK_WARN("Empty cluster. Skipping the cluster."); + continue; + } for (Eigen::Vector3d point : cluster->Points) { clusterCenter += point; @@ -213,8 +235,19 @@ namespace diffCheck::segmentation int meshIndex; int faceIndex ; double distance = std::numeric_limits::max(); + + if (meshes.size() == 0) + { + DIFFCHECK_WARN("No meshes to associate with the clusters. Skipping the cluster."); + continue; + } for (std::vector> piece : meshes) { + if (piece.size() == 0) + { + DIFFCHECK_WARN("Empty piece in the meshes vector. Skipping the mesh face vector."); + continue; + } for (std::shared_ptr meshFace : piece) { Eigen::Vector3d faceCenter; @@ -259,7 +292,7 @@ namespace diffCheck::segmentation } } std::vector indicesToRemove; - + for (int i = 0; i < cluster->Points.size(); ++i) { if (std::find(completed_segment->Points.begin(), completed_segment->Points.end(), cluster->Points[i]) != completed_segment->Points.end()) From 38c12c51e897d96805783cd8ab39260e8304e356 Mon Sep 17 00:00:00 2001 From: DamienGilliard <127743632+DamienGilliard@users.noreply.github.com> Date: Wed, 10 Jul 2024 19:57:28 +0200 Subject: [PATCH 35/35] CAP: Association functions implemented, defensive checks added, and general cleanup --- src/diffCheck/segmentation/DFSegmentation.cc | 21 +++++++------ src/diffCheck/segmentation/DFSegmentation.hh | 8 ++--- src/diffCheckApp.cc | 31 +++++++++++++------- src/diffCheckBindings.cc | 2 ++ 4 files changed, 39 insertions(+), 23 deletions(-) diff --git a/src/diffCheck/segmentation/DFSegmentation.cc b/src/diffCheck/segmentation/DFSegmentation.cc index 1f07e354..383a792f 100644 --- a/src/diffCheck/segmentation/DFSegmentation.cc +++ b/src/diffCheck/segmentation/DFSegmentation.cc @@ -3,6 +3,7 @@ #include #include #include +#include namespace diffCheck::segmentation { @@ -101,7 +102,6 @@ namespace diffCheck::segmentation double associationThreshold) { std::shared_ptr unifiedPointCloud = std::make_shared(); - std::vector> segmentsRemainder; // iterate through the mesh faces given as function argument if (referenceMesh.size() == 0) @@ -139,7 +139,7 @@ namespace diffCheck::segmentation double currentDistance = (faceCenter - segmentCenter).norm() / std::abs(segmentNormal.dot(faceNormal)); // if the distance is smaller than the previous one, update the distance and the corresponding segment - if (std::abs(faceNormal.dot(segmentNormal)) > angleThreshold && currentDistance < faceDistance) + if (std::abs(sin(acos(faceNormal.dot(segmentNormal)))) < angleThreshold && currentDistance < faceDistance) { correspondingSegment = segment; faceDistance = currentDistance; @@ -231,9 +231,8 @@ namespace diffCheck::segmentation } clusterNormal.normalize(); - std::shared_ptr testMesh; - int meshIndex; - int faceIndex ; + int meshIndex = std::numeric_limits::max(); + int faceIndex = std::numeric_limits::max() ; double distance = std::numeric_limits::max(); if (meshes.size() == 0) @@ -270,17 +269,21 @@ namespace diffCheck::segmentation double clusterNormalToJunctionLineAngle = std::abs(std::acos(clusterNormal.dot((clusterCenter - faceCenter).normalized()))); - double currentDistance = (clusterCenter - faceCenter).norm() * std::pow(std::cos(clusterNormalToJunctionLineAngle), 2) / std::pow(clusterNormal.dot(faceNormal), 2); - if (std::abs(faceNormal.dot(clusterNormal)) > angleThreshold && currentDistance < distance) + double currentDistance = (clusterCenter - faceCenter).norm() * std::pow(std::cos(clusterNormalToJunctionLineAngle), 2) / std::pow(clusterNormal.dot(faceNormal), 2); + if (std::abs(sin(acos(faceNormal.dot(clusterNormal)))) < angleThreshold && currentDistance < distance) { distance = currentDistance; meshIndex = std::distance(meshes.begin(), std::find(meshes.begin(), meshes.end(), piece)); faceIndex = std::distance(piece.begin(), std::find(piece.begin(), piece.end(), meshFace)); - testMesh = meshFace; } } } - + if (meshIndex >= meshes.size() || faceIndex >= meshes[meshIndex].size()) + { + // this one generates a lot of warnings + DIFFCHECK_WARN("No mesh face found for the cluster. Skipping the cluster."); + continue; + } std::shared_ptr completed_segment = existingPointCloudSegments[meshIndex]; for (Eigen::Vector3d point : cluster->Points) { diff --git a/src/diffCheck/segmentation/DFSegmentation.hh b/src/diffCheck/segmentation/DFSegmentation.hh index 7dc126fa..33ef92bf 100644 --- a/src/diffCheck/segmentation/DFSegmentation.hh +++ b/src/diffCheck/segmentation/DFSegmentation.hh @@ -29,28 +29,28 @@ namespace diffCheck::segmentation /** @brief Associates point cloud segments to mesh faces and merges them. It uses the center of mass of the segments and the mesh faces to find correspondances. For each mesh face it then iteratively associate the points of the segment that are actually on the mesh face. * @param referenceMesh the vector of mesh faces to associate with the segments * @param clusters the vector of clusters from cilantro to associate with the mesh faces of the reference mesh - * @param angleThreshold the threshold to consider the a cluster as potential candidate for association. the value passed is the minimum cosine of the angles. A value of 0.99 requires perfect alignment, while a value of 0.8 is more permissive. A value of 0 allows any angle between the normal of the cluster and the normal of the mesh face. + * @param angleThreshold the threshold to consider the a cluster as potential candidate for association. the value passed is the minimum sine of the angles. A value of 0 requires perfect alignment (angle = 0), while a value of 0.1 allows an angle of 5.7 degrees. * @param associationThreshold the threshold to consider the points of a segment and a mesh face as associable. It is the ratio between the surface of the closest mesh triangle and the sum of the areas of the three triangles that form the rest of the pyramid described by the mesh triangle and the point we want to associate or not. The lower the number, the more strict the association will be and some poinnts on the mesh face might be wrongfully excluded. * @return std::shared_ptr The unified segments */ static std::shared_ptr DFSegmentation::AssociateClustersToMeshes( std::vector> referenceMesh, std::vector> &clusters, - double angleThreshold = 0.95, + double angleThreshold = 0.1, double associationThreshold = 0.1); /** @brief Iterated through clusters and finds the corresponding mesh face. It then associates the points of the cluster that are on the mesh face to the segment already associated with the mesh face. * @param unassociatedClusters the clusters from the normal-based segmentatinon that haven't been associated yet. * @param existingPointCloudSegments the already associated segments * @param Meshes the mesh faces for all the model. This is used to associate the clusters to the mesh faces. - * * @param angleThreshold the threshold to consider the a cluster as potential candidate for association. the value passed is the minimum cosine of the angles. A value of 0.99 requires perfect alignment, while a value of 0.8 is more permissive. A value of 0 allows any angle between the normal of the cluster and the normal of the mesh face. + * * @param angleThreshold the threshold to consider the a cluster as potential candidate for association. the value passed is the minimum sine of the angles. A value of 0 requires perfect alignment (angle = 0), while a value of 0.1 allows an angle of 5.7 degrees. * @param associationThreshold the threshold to consider the points of a segment and a mesh face as associable. It is the ratio between the surface of the closest mesh triangle and the sum of the areas of the three triangles that form the rest of the pyramid described by the mesh triangle and the point we want to associate or not. The lower the number, the more strict the association will be and some poinnts on the mesh face might be wrongfully excluded. */ static void DFSegmentation::CleanUnassociatedClusters( std::vector> &unassociatedClusters, std::vector> &existingPointCloudSegments, std::vector>> Meshes, - double angleThreshold = 0.95, + double angleThreshold = 0.1, double associationThreshold = 0.1); private: ///< helper methods diff --git a/src/diffCheckApp.cc b/src/diffCheckApp.cc index 1254f823..6342b382 100644 --- a/src/diffCheckApp.cc +++ b/src/diffCheckApp.cc @@ -16,9 +16,9 @@ int main() std::vector> segments; std::vector meshPaths; - std::string meshesFolderPath = R"(C:\Users\localuser\Desktop\again_other_meshes_for_diffCheck\6\)"; + std::string meshesFolderPath = R"(C:\Users\localuser\Desktop\meshes_for_diffCheck\9\)"; - for (int i = 1; i <= 4; i++) + for (int i = 1; i <= 7; i++) { std::string meshPath = meshesFolderPath + std::to_string(i) + ".ply"; std::shared_ptr mesh = std::make_shared(); @@ -26,26 +26,37 @@ int main() meshSrc.push_back(mesh); } - std::string pathPcdSrc = R"(C:\Users\localuser\Desktop\again_other_meshes_for_diffCheck\source_pc.ply)"; + std::string pathPcdSrc = R"(C:\Users\localuser\Desktop\meshes_for_diffCheck\source_pc_2.ply)"; pcdSrc->LoadFromPLY(pathPcdSrc); - pcdSrc->EstimateNormals(false, 40); + pcdSrc->EstimateNormals(false, 100); + pcdSrc->VoxelDownsample(0.01); auto intermediateTime = std::chrono::high_resolution_clock::now(); segments = diffCheck::segmentation::DFSegmentation::NormalBasedSegmentation( pcdSrc, - 2.0f, - 200, + 6.0f, + 25, true, - 100, + 20, 0.5f, false); std::cout << "number of segments:" << segments.size()<< std::endl; std::shared_ptr unifiedSegments = - diffCheck::segmentation::DFSegmentation::AssociateClustersToMeshes(meshSrc, segments, .15); + diffCheck::segmentation::DFSegmentation::AssociateClustersToMeshes( + meshSrc, + segments, + .1, + .9); - diffCheck::segmentation::DFSegmentation::CleanUnassociatedClusters(segments, std::vector>{unifiedSegments}, std::vector>>{meshSrc}, .15); + std::cout << "Association done. refinement in progress" << std::endl; + + diffCheck::segmentation::DFSegmentation::CleanUnassociatedClusters(segments, + std::vector>{unifiedSegments}, + std::vector>>{meshSrc}, + .1, + .9); std::cout << "number of points in unified segments:" << unifiedSegments->Points.size() << std::endl; @@ -67,7 +78,7 @@ int main() } for(auto mesh : meshSrc) { - vis.AddMesh(mesh); + //vis.AddMesh(mesh); } for (int i = 0; i < unifiedSegments->Points.size(); i++) diff --git a/src/diffCheckBindings.cc b/src/diffCheckBindings.cc index 7113c685..27efd7c8 100644 --- a/src/diffCheckBindings.cc +++ b/src/diffCheckBindings.cc @@ -182,10 +182,12 @@ PYBIND11_MODULE(diffcheck_bindings, m) { .def_static("associate_clusters", &diffCheck::segmentation::DFSegmentation::AssociateClustersToMeshes, py::arg("reference_mesh"), py::arg("clusters"), + py::arg("angle_threshold") = 0.95, py::arg("association_threshold") = 0.1) .def_static("clean_unassociated_clusters", &diffCheck::segmentation::DFSegmentation::CleanUnassociatedClusters, py::arg("unassociated_clusters"), py::arg("existing_point_cloud_segments"), py::arg("meshes"), + py::arg("angle_threshold") = 0.95, py::arg("association_threshold") = 0.1); } \ No newline at end of file

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