v0.3.1

What's Changed

• Improves shell/format.sh for local environment setups by @atuleu in #658
• Add v0 pre-trained weights for DenseNet169 by @ianstenbit in #660
• Restructure training scripts to avoid duplication by @ianstenbit in #659
• Introduce an Object Detection API to KerasCV by @LukeWood in #609
• Use aliasing for weights config to avoid duplicate weight files by @ianstenbit in #661
• Added no-op augment_bounding_boxes() methods by @divyashreepathihalli in #656
• Porting over RegNets from keras.applications by @AdityaKane2001 in #590
• Revert "Porting over RegNets from keras.applications (#590)" by @LukeWood in #674
• applications -> models by @LukeWood in #683
• Add IoU loss by @quantumalaviya in #634
• Make initial learning rate flag-controlled in basic_training by @ianstenbit in #687
• Add a contribution guide for training scripts by @ianstenbit in #626
• Fix classes docstring to match code behavior by @ianstenbit in #689
• Add GPU-accelerated testing by @ianstenbit in #692
• Fix flag type for initial_learning_rate by @ianstenbit in #694
• Add script version to training history script by @ianstenbit in #688
• Add initial ResNet50V2 weights by @ianstenbit in #695
• Switch to SGD for basic_training by @ianstenbit in #698
• Introduce re-usable ObjectDetection components to KerasCV by @LukeWood in #686
• Removed bias from Conv2D if followed by BatchNorm. by @sebastian-sz in #697
• Add MobileNetV3 models by @Rishit-dagli in #526
• Introduce a PascalVOC loader as an API by @LukeWood in #703
• skip tests to try to prevent OOMs by @LukeWood in #708
• Add TFDS+Pandas as test deps for GPU tests by @ianstenbit in #709
• Add augmenter layer by @ianstenbit in #704
• Move loaders namespace to datasets for API consistency by @LukeWood in #711
• Add instructions for adding test deps by @ianstenbit in #714
• Encode labels in the tf.data pipeline for Object Detection models by @LukeWood in #705
• Add ragged bounding box support and utils to pad and filter ragged bounding boxes to keras cv by @divyashreepathihalli in #677
• Make ReduceLrOnPlateau a bit less patient for basic imagenet training by @ianstenbit in #723
• update demo scripts by @divyashreepathihalli in #722
• Update the API & train_step() of RetinaNet to encourage TPU compatible forward passes by @LukeWood in #721
• Add ConvNeXt by @sayakpaul in #678
• Restructure model tests to try to reduce OOM by @ianstenbit in #736
• Create ImageNet loader in keras_cv.datasets by @ianstenbit in #735
• Add improved ResNet50V2 weights by @ianstenbit in #741
• Support validation_data in fit() for KerasCV RetinaNet by @LukeWood in #743
• Add support for model kwargs to basic training script by @ianstenbit in #742
• Make loss reduction consistent with model garden by @LukeWood in #747
• Add support for segmentation mask in BaseImageAugmentationLayer by @ianstenbit in #748

New Contributors

• @Rishit-dagli made their first contribution in #526

Full Changelog: v0.2.10...v0.3.1