Cspnet architecture. (#2091)

* cspnet architecture to support multiple models

* add timm conversion script

* add test case

* fix format

* fix testcase

* add preset details.

* add timm conversion test

* register preprocessor

* register presets

* nit

* fix label typo

Author: sachinprasadhs

keras_hub/api/layers/__init__.py

@@ -42,6 +42,9 @@
     BASNetImageConverter,
 )
 from keras_hub.src.models.clip.clip_image_converter import CLIPImageConverter
+from keras_hub.src.models.cspnet.cspnet_image_converter import (
+    CSPNetImageConverter,
+)
 from keras_hub.src.models.deeplab_v3.deeplab_v3_image_converter import (
     DeepLabV3ImageConverter,
 )

keras_hub/api/models/__init__.py

@@ -61,11 +61,12 @@
 from keras_hub.src.models.clip.clip_text_encoder import CLIPTextEncoder
 from keras_hub.src.models.clip.clip_tokenizer import CLIPTokenizer
 from keras_hub.src.models.clip.clip_vision_encoder import CLIPVisionEncoder
-from keras_hub.src.models.csp_darknet.csp_darknet_backbone import (
-    CSPDarkNetBackbone,
+from keras_hub.src.models.cspnet.cspnet_backbone import CSPNetBackbone
+from keras_hub.src.models.cspnet.cspnet_image_classifier import (
+    CSPNetImageClassifier,
 )
-from keras_hub.src.models.csp_darknet.csp_darknet_image_classifier import (
-    CSPDarkNetImageClassifier,
+from keras_hub.src.models.cspnet.cspnet_image_classifier_preprocessor import (
+    CSPNetImageClassifierPreprocessor,
 )
 from keras_hub.src.models.deberta_v3.deberta_v3_backbone import (
     DebertaV3Backbone,