v0.4.2

What's Changed

• Fix demos with dict format by @LukeWood in #1259
• Fix inference for jittered resize by @LukeWood in #1260
• API polish on NMS layer by @LukeWood in #1261
• Refactor preserve_rel to a more readable set of methods by @ianstenbit in #1264
• Update resizing demo to match other demos and use new bbox format by @ianstenbit in #1266
• add utility function to mask invalid detections by @LukeWood in #1265
• [Cleanup] Use flag-specified values in RetinaNet example script by @ianstenbit in #1271
• [YOLOX] Step 1/? : add GIoU loss and update IoU loss by @quantumalaviya in #1006
• Wrong install documentation string on readme by @MrinalTyagi in #1284
• Fix callback import error by @LukeWood in #1279
• [Cleanup] remove print statements in tests by @ianstenbit in #1287
• Update the internal UNet API to return a Keras model by @ianstenbit in #1286
• Make 3d namespacing consistent by @ianstenbit in #1288
• Fix the pascal VOC loader to use the dictionary format by @LukeWood in #1289
• Make include_rescaling and include_top required positionals by @LukeWood in #1291
• Fixed a small error in the RetinaNet training script by @quantumalaviya in #1295
• Test compilation of cv_layers.MultiClassNonMaxSuppression by @bhack in #1270
• Added missing name to DarknetConvBlock variables. by @sebastian-sz in #1298
• fix example training script for RetinaNet by @LukeWood in #1302
• Remove gt_ prefix from OD models compute_loss by @ianstenbit in #1304
• Another small fix to RetinaNet training example by @quantumalaviya in #1306
• [3D Object Detection] Rename GlobalRandomFlipY -> GlobalRandomFlip by @ianstenbit in #1303
• [Custom ops] Update docs + build without custom ops by default by @ianstenbit in #1312
• Implement RepeatedAugmentation as a KerasCV API by @LukeWood in #1293
• [1/3~] Begin cleaning up ops namespace by @LukeWood in #1299
• Add RandomTranslation to KerasCV by @LukeWood in #1314
• Fix layers/init.py by @ianstenbit in #1316
• Add RandomTranslation to serialization test by @LukeWood in #1315
• Update multi_class_non_max_suppression.py by @LukeWood in #1318
• Update RetinaNet + RCNN to use 'classification' instead of cls by @LukeWood in #1313
• Add ConvMixer Models by @IMvision12 in #1281
• Remove extra models from CI tests for ViT by @ianstenbit in #1322
• [api-polish] Renaming api's by @arnavrneo in #1267
• Refine readme.md by @LukeWood in #1292
• Update README.md by @LukeWood in #1328
• Fix typo in FasterRCNN compile error message by @ianstenbit in #1324
• fix AnchorGenerator output shape for object detection models by @tomrtk in #1305
• Switch to core Keras GroupNormalization by @fchollet in #1333
• Reformat with black 23.1 to fix CI by @ianstenbit in #1337
• Remove unused target_gather layer. This lives in utils by @ianstenbit in #1341
• Add pre-trained weights for ConvMixer_512_16 by @ianstenbit in #1325
• Add gs:// path loading to weights by @LukeWood in #1340
• Support pure-dictionary input format for OD models by @ianstenbit in #1348
• Removed the redundant call by @soma2000-lang in #1352
• add serialization test to losses by @LukeWood in #1345
• Fixes weight loading for gs:// by @LukeWood in #1355
• remove pad_batch_to_shape by @LukeWood in #1346
• v0.4.2 by @LukeWood in #1354

New Contributors

• @MrinalTyagi made their first contribution in #1284
• @arnavrneo made their first contribution in #1267
• @tomrtk made their first contribution in #1305
• @soma2000-lang made their first contribution in #1352

Full Changelog: v0.4.1...v0.4.2