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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,23 +1,23 @@ | ||
| """Mesh smoothing with two different methods""" | ||
| from vedo import Plotter, dataurl | ||
|
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| vp = Plotter(N=3) | ||
| plt = Plotter(N=3) | ||
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| # Load a mesh and show it | ||
| vol = vp.load(dataurl+"embryo.tif") | ||
| vol = plt.load(dataurl+"embryo.tif") | ||
| m0 = vol.isosurface().normalize().lw(0.1).c("violet") | ||
| vp.show(m0, __doc__, at=0) | ||
| plt.show(m0, __doc__+"\nOriginal Mesh:", at=0) | ||
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| # Adjust mesh using Laplacian smoothing | ||
| m1 = m0.clone().smoothLaplacian(niter=20, relaxfact=0.1, edgeAngle=15, featureAngle=60) | ||
| m1.color("pink").legend("laplacian") | ||
| vp.show(m1, at=1) | ||
| m1.color("pink") | ||
| plt.show(m1, "Laplacian smoothing", at=1, viewup='z') | ||
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| # Adjust mesh using a windowed sinc function interpolation kernel | ||
| m2 = m0.clone().smoothWSinc(niter=15, passBand=0.1, edgeAngle=15, featureAngle=60) | ||
| m2.color("lg").legend("window sinc") | ||
| vp.show(m2, at=2) | ||
| m2 = m0.clone().smoothWSinc(niter=20, passBand=0.1, edgeAngle=15, featureAngle=60) | ||
| m2.color("lg") | ||
| plt.show(m2, "WindowSinc smoothing", at=2) | ||
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| vp.backgroundColor([0.8, 1, 1], at=0) # set first renderer color | ||
| plt.backgroundColor([0.8, 1, 1], at=0) # set first renderer color | ||
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| vp.show(zoom=1.4, interactive=True) | ||
| plt.show(zoom=1.4, interactive=True) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,17 +1,24 @@ | ||
| """Click a sphere to highlight it""" | ||
| from vedo import Sphere, Plotter | ||
| from vedo import Text2D, Sphere, Plotter | ||
| import numpy as np | ||
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| pts = np.random.rand(30,2)*20 | ||
| spheres = [Sphere().pos(p).color('k5') for p in pts] | ||
| spheres = [] | ||
| for i in range(25): | ||
| p = np.random.rand(2) | ||
| s = Sphere(r=0.05).pos(p).color('k5') | ||
| s.name = f"sphere nr.{i} at {p}" | ||
| spheres.append(s) | ||
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| def func(evt): | ||
| if not evt.actor: return | ||
| sil = evt.actor.silhouette().lineWidth(6).c('red5') | ||
| msg.text("You clicked: "+evt.actor.name) | ||
| plt.remove(silcont.pop()).add(sil) | ||
| silcont.append(sil) | ||
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| silcont = [None] | ||
| msg = Text2D("", pos="bottom-center", c='k', bg='r9', alpha=0.8) | ||
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| plt = Plotter(axes=1, bg='black') | ||
| plt.addCallback('mouse click', func) | ||
| plt.show(spheres, __doc__, zoom=1.2) | ||
| plt.show(spheres, msg, __doc__, zoom=1.2) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,28 +1,31 @@ | ||
| """Visualize scalar values interactively | ||
| by hovering the mouse on a mesh | ||
| Press c to clear""" | ||
| Press c to clear the path""" | ||
| from vedo import * | ||
|
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| def func(evt): ### called every time the mouse moves! | ||
| if not evt.actor: return # no hits, return. (NB: evt is a dictionary) | ||
| pt = evt.picked3d # 3d coords of picked point under mouse | ||
| def func(evt): ### called every time the mouse moves! | ||
| if not evt.actor: return # no hits, return. (NB: evt is a dictionary) | ||
| pt = evt.picked3d # 3d coords of picked point under mouse | ||
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| pid = evt.actor.closestPoint(pt, returnPointId=True) | ||
| txt = f"Point: {precision(pt[:2],2)}\n" \ | ||
| f"Height: {precision(arr[pid],3)}\n"\ | ||
| txt = f"Point: {precision(pt[:2] ,2)}\n" \ | ||
| f"Height: {precision(arr[pid],3)}\n" \ | ||
| f"Ground speed: {precision(evt.speed3d*100,2)}" | ||
| arw = Arrow(pt - evt.delta3d, pt, s=0.001, c='orange5') | ||
| vig = evt.actor.vignette(txt, point=pt, offset=(0.4,0.6), | ||
| s=0.04, c='k', font="VictorMono").followCamera() | ||
| msg = Text2D(txt, pos='bottom-left', font="VictorMono") | ||
| if len(plt.actors) > 3: | ||
| plt.remove(plt.actors[-2:]) # remove the old vig and msg | ||
| plt.add([arw, vig, msg]) # add Arrow and the new vig and msg | ||
| msg.text(txt) # update text message | ||
| if len(plt.actors)>3: | ||
| plt.pop() # remove the old vignette | ||
| plt.add([arw, vig]) # add Arrow and the new vig | ||
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| hil = ParametricShape('RandomHills').cmap('terrain').addScalarBar() | ||
| arr = hil.getPointArray("Scalars") | ||
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| plt = Plotter(axes=1, bg2='lightblue') | ||
| plt.addCallback('MouseMove', func) # the callback function | ||
| plt.addCallback('KeyPress', lambda e: plt.remove(plt.actors[2:], render=True)) | ||
| plt.show(hil, __doc__, viewup='z') | ||
| plt.addCallback('mouse moving', func) # the callback function | ||
| plt.addCallback('keyboard', lambda e: plt.remove(plt.actors[3:], render=True)) | ||
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| msg = Text2D("", pos='bottom-left', font="VictorMono") | ||
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| plt.show(hil, msg, __doc__, viewup='z') |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,15 +1,17 @@ | ||
| """Normal jpg/png pictures can be loaded, | ||
| cropped, rotated and positioned in 3D | ||
| """ | ||
| from vedo import Plotter, dataurl | ||
| cropped, rotated and positioned in 3D.""" | ||
| from vedo import Plotter, Picture, dataurl | ||
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| vp = Plotter(axes=3) | ||
| plt = Plotter(axes=7) | ||
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| pic = Picture(dataurl+"images/dog.jpg") | ||
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| for i in range(5): | ||
| p = vp.load(dataurl+"images/dog.jpg") # returns Picture | ||
| p.crop(bottom=0.2) # crop 20% | ||
| p.scale(1-i/10.0).alpha(0.8) # picture can be scaled in size | ||
| p.rotateX(20*i).pos(0,0,30*i) # (can concatenate methods) | ||
| p = pic.clone() | ||
| p.crop(bottom=0.20) # crop 20% from bottom | ||
| p.scale(1-i/10.0).rotateX(20*i).z(30*i) | ||
| p.alpha(0.8) | ||
| plt += p | ||
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| vp += __doc__ | ||
| vp.show() | ||
| plt += __doc__ | ||
| plt.show() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,14 +1,16 @@ | ||
| # Jupyter Notebooks | ||
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||
| Here you will find a set of notebooks. | ||
| It allows to embed a redering window into a jupyter notebook via | ||
| Here you will find a set of notebooks. | ||
| It allows to embed a redering window into a jupyter notebook via | ||
| [K3D](https://github.com/K3D-tools/K3D-jupyter) | ||
| (or optionally with `itkwidgets` or [panel](https://github.com/pyviz/panel)). | ||
| (or optionally with `itkwidgets`, `ipyvtk` or [panel](https://github.com/pyviz/panel)). | ||
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| On top of this `K3D` allows to export an interactive | ||
| [snapshot](https://vedo.embl.es/examples/K3D_snapshot.html) | ||
| of the rendered scene. | ||
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| `jupyter notebook examples/notebooks/basic/embryo.ipynb` | ||
| ### note that notebook support (except for `ipyvtk`) is rather limited and not all functionalities are available, in particular: | ||
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|  | ||
| - axes are very basic | ||
| - text2d is not available | ||
| - limited possibilities for scene interaction |
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