Remove bounding box utils and refactor retinanet (#2039)

* remove bounding box utils and refactor retinanet

* Remove bbox utils from KerasHub, adding proper docstrings

* nit

* Import obj_det when satisfies keras version and nit

* Correct api names and use assert for boudning box support

* fix resize error and skip tests version < 3.8.0

* fix tuple error for skip test cases

* skip retinanet test cases for keras < 3.8.0

* correct re string value

* mark all tests at once, remove hardcoding and try with re for version parse

* remove extra resizing layer

* add previous alias for backward compatibility

* api changes

* Simpler bounding box preprocessing

* Fix bounding box check for old keras

---------

Co-authored-by: Matt Watson <mattdangerw@gmail.com>

Author: sineeli

keras_hub/api/__init__.py

@@ -4,7 +4,6 @@
 since your modifications would be overwritten.
 """
 
-from keras_hub.api import bounding_box
 from keras_hub.api import layers
 from keras_hub.api import metrics
 from keras_hub.api import models

keras_hub/api/bounding_box/__init__.py

@@ -5,11 +5,14 @@
 """
 
 from keras_hub.src.layers.modeling.alibi_bias import AlibiBias
+from keras_hub.src.layers.modeling.anchor_generator import AnchorGenerator
+from keras_hub.src.layers.modeling.box_matcher import BoxMatcher
 from keras_hub.src.layers.modeling.cached_multi_head_attention import (
     CachedMultiHeadAttention,
 )
 from keras_hub.src.layers.modeling.f_net_encoder import FNetEncoder
 from keras_hub.src.layers.modeling.masked_lm_head import MaskedLMHead
+from keras_hub.src.layers.modeling.non_max_supression import NonMaxSuppression
 from keras_hub.src.layers.modeling.position_embedding import PositionEmbedding
 from keras_hub.src.layers.modeling.reversible_embedding import (
     ReversibleEmbedding,
@@ -55,7 +58,6 @@
 from keras_hub.src.models.resnet.resnet_image_converter import (
     ResNetImageConverter,
 )
-from keras_hub.src.models.retinanet.anchor_generator import AnchorGenerator
 from keras_hub.src.models.retinanet.retinanet_image_converter import (
     RetinaNetImageConverter,
 )

keras_hub/api/layers/__init__.py

@@ -193,10 +193,6 @@
 from keras_hub.src.models.image_classifier_preprocessor import (
     ImageClassifierPreprocessor,
 )
-from keras_hub.src.models.image_object_detector import ImageObjectDetector
-from keras_hub.src.models.image_object_detector_preprocessor import (
-    ImageObjectDetectorPreprocessor,
-)
 from keras_hub.src.models.image_segmenter import ImageSegmenter
 from keras_hub.src.models.image_segmenter_preprocessor import (
     ImageSegmenterPreprocessor,
@@ -232,6 +228,16 @@
 from keras_hub.src.models.mobilenet.mobilenet_image_classifier import (
     MobileNetImageClassifier,
 )
+from keras_hub.src.models.object_detector import ObjectDetector
+from keras_hub.src.models.object_detector import (
+    ObjectDetector as ImageObjectDetector,
+)
+from keras_hub.src.models.object_detector_preprocessor import (
+    ObjectDetectorPreprocessor,
+)
+from keras_hub.src.models.object_detector_preprocessor import (
+    ObjectDetectorPreprocessor as ImageObjectDetectorPreprocessor,
+)
 from keras_hub.src.models.opt.opt_backbone import OPTBackbone
 from keras_hub.src.models.opt.opt_causal_lm import OPTCausalLM
 from keras_hub.src.models.opt.opt_causal_lm_preprocessor import (