Implement the new bounding box API (#441)

* Begin updating bounding box format

* Update to fix unit tests

* Fix fill utils

* reformat

* Update to pass lint

* Reformat

* Update per comments

* fix lint errors

* Update bounding box tool

* Reformat string names

* add rel_xyxy format

* add dtype to MaP and Recall

* Rename to convert_format

* Address comments

* Fix lint error

* Fix realization test

* fix broken test

examples/layers/preprocessing/cut_mix_demo.py

@@ -33,6 +33,10 @@ def resize(image, label, num_classes=10):
     return image, label
 
 
+def to_dict(images, labels):
+    return {"images": images, "labels": labels}
+
+
 def main():
     data, ds_info = tfds.load("oxford_flowers102", with_info=True, as_supervised=True)
     train_ds = data["train"]
@@ -43,6 +47,7 @@ def main():
         train_ds.map(lambda x, y: resize(x, y, num_classes=num_classes))
         .shuffle(10 * BATCH_SIZE)
         .batch(BATCH_SIZE)
+        .map(to_dict)
     )
     cutmix = preprocessing.CutMix()
     train_ds = train_ds.map(

keras_cv/bounding_box/__init__.py

@@ -12,14 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from keras_cv.bounding_box.convert_to_corners import convert_to_corners
+from keras_cv.bounding_box.converters import convert_format
+from keras_cv.bounding_box.formats import CENTER_XYWH
+from keras_cv.bounding_box.formats import XYWH
+from keras_cv.bounding_box.formats import XYXY
 from keras_cv.bounding_box.pad_batch_to_shape import pad_batch_to_shape
-
-# These are the indexes used in Tensors to represent each corresponding side.
-LEFT, TOP, RIGHT, BOTTOM = 0, 1, 2, 3
-
-# Regardless of format these constants are consistent.
-# Class is held in the 5th index
-CLASS = 4
-# Confidence exists only on y_pred, and is in the 6th index.
-CONFIDENCE = 5