Add remaining bbox utils (#1804)

* - Add formats, iou, utils for bounding box

* - Add `AnchorGenerator`, `BoxMatcher` and `NonMaxSupression` layers

* - Remove scope_name  not required.

* use default keras name scope

* - Correct format error

* - Remove layers as of now and keep them at model level till keras core supports them

* - Correct api_gen

keras_nlp/api/bounding_box/__init__.py

@@ -18,6 +18,19 @@
 """
 
 from keras_nlp.src.bounding_box.converters import convert_format
+from keras_nlp.src.bounding_box.formats import CENTER_XYWH
+from keras_nlp.src.bounding_box.formats import REL_XYWH
+from keras_nlp.src.bounding_box.formats import REL_XYXY
+from keras_nlp.src.bounding_box.formats import REL_YXYX
+from keras_nlp.src.bounding_box.formats import XYWH
+from keras_nlp.src.bounding_box.formats import XYXY
+from keras_nlp.src.bounding_box.formats import YXYX
+from keras_nlp.src.bounding_box.iou import compute_ciou
+from keras_nlp.src.bounding_box.iou import compute_iou
 from keras_nlp.src.bounding_box.to_dense import to_dense
 from keras_nlp.src.bounding_box.to_ragged import to_ragged
+from keras_nlp.src.bounding_box.utils import as_relative
+from keras_nlp.src.bounding_box.utils import clip_boxes
+from keras_nlp.src.bounding_box.utils import clip_to_image
+from keras_nlp.src.bounding_box.utils import is_relative
 from keras_nlp.src.bounding_box.validate_format import validate_format

keras_nlp/src/bounding_box/formats.py

@@ -0,0 +1,162 @@
+# Copyright 2024 The KerasNLP Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+formats.py contains axis information for each supported format.
+"""
+
+from keras_nlp.src.api_export import keras_nlp_export
+
+
+@keras_nlp_export("keras_nlp.bounding_box.XYXY")
+class XYXY:
+    """XYXY contains axis indices for the XYXY format.
+
+    All values in the XYXY format should be absolute pixel values.
+
+    The XYXY format consists of the following required indices:
+
+    - LEFT: left of the bounding box
+    - TOP: top of the bounding box
+    - RIGHT: right of the bounding box
+    - BOTTOM: bottom of the bounding box
+    """
+
+    LEFT = 0
+    TOP = 1
+    RIGHT = 2
+    BOTTOM = 3
+
+
+@keras_nlp_export("keras_nlp.bounding_box.REL_XYXY")
+class REL_XYXY:
+    """REL_XYXY contains axis indices for the REL_XYXY format.
+
+    REL_XYXY is like XYXY, but each value is relative to the width and height of
+    the origin image. Values are percentages of the origin images' width and
+    height respectively.
+
+    The REL_XYXY format consists of the following required indices:
+
+    - LEFT: left of the bounding box
+    - TOP: top of the bounding box
+    - RIGHT: right of the bounding box
+    - BOTTOM: bottom of the bounding box
+    """
+
+    LEFT = 0
+    TOP = 1
+    RIGHT = 2
+    BOTTOM = 3
+
+
+@keras_nlp_export("keras_nlp.bounding_box.CENTER_XYWH")
+class CENTER_XYWH:
+    """CENTER_XYWH contains axis indices for the CENTER_XYWH format.
+
+    All values in the CENTER_XYWH format should be absolute pixel values.
+
+    The CENTER_XYWH format consists of the following required indices:
+
+    - X: X coordinate of the center of the bounding box
+    - Y: Y coordinate of the center of the bounding box
+    - WIDTH: width of the bounding box
+    - HEIGHT: height of the bounding box
+    """
+
+    X = 0
+    Y = 1
+    WIDTH = 2
+    HEIGHT = 3
+
+
+@keras_nlp_export("keras_nlp.bounding_box.XYWH")
+class XYWH:
+    """XYWH contains axis indices for the XYWH format.
+
+    All values in the XYWH format should be absolute pixel values.
+
+    The XYWH format consists of the following required indices:
+
+    - X: X coordinate of the left of the bounding box
+    - Y: Y coordinate of the top of the bounding box
+    - WIDTH: width of the bounding box
+    - HEIGHT: height of the bounding box
+    """
+
+    X = 0
+    Y = 1
+    WIDTH = 2
+    HEIGHT = 3
+
+
+@keras_nlp_export("keras_nlp.bounding_box.REL_XYWH")
+class REL_XYWH:
+    """REL_XYWH contains axis indices for the XYWH format.
+
+    REL_XYXY is like XYWH, but each value is relative to the width and height of
+    the origin image. Values are percentages of the origin images' width and
+    height respectively.
+
+    - X: X coordinate of the left of the bounding box
+    - Y: Y coordinate of the top of the bounding box
+    - WIDTH: width of the bounding box
+    - HEIGHT: height of the bounding box
+    """
+
+    X = 0
+    Y = 1
+    WIDTH = 2
+    HEIGHT = 3
+
+
+@keras_nlp_export("keras_nlp.bounding_box.YXYX")
+class YXYX:
+    """YXYX contains axis indices for the YXYX format.
+
+    All values in the YXYX format should be absolute pixel values.
+
+    The YXYX format consists of the following required indices:
+
+    - TOP: top of the bounding box
+    - LEFT: left of the bounding box
+    - BOTTOM: bottom of the bounding box
+    - RIGHT: right of the bounding box
+    """
+
+    TOP = 0
+    LEFT = 1
+    BOTTOM = 2
+    RIGHT = 3
+
+
+@keras_nlp_export("keras_nlp.bounding_box.REL_YXYX")
+class REL_YXYX:
+    """REL_YXYX contains axis indices for the REL_YXYX format.
+
+    REL_YXYX is like YXYX, but each value is relative to the width and height of
+    the origin image. Values are percentages of the origin images' width and
+    height respectively.
+
+    The REL_YXYX format consists of the following required indices:
+
+    - TOP: top of the bounding box
+    - LEFT: left of the bounding box
+    - BOTTOM: bottom of the bounding box
+    - RIGHT: right of the bounding box
+    """
+
+    TOP = 0
+    LEFT = 1
+    BOTTOM = 2
+    RIGHT = 3