0.7.1

Summary

KerasCV is now compatible with Keras 3 (TensorFlow, Jax and PyTorch backends). Users utilizing tf-nightly or Keras 3.0 can expect seamless compatibility with KerasCV. KerasCV also works with Keras 2.0 (with TensorFlow).

What's Changed

• Update the comment of the num_classes parameter of deeplab v3 by @aaudevart in #2071
• Set read-only tokens for all GitHub workflows by @pnacht in #2075
• Add the Segment Anything Model to KerasCV by @tirthasheshpatel in #1987
• Export SD submodels by @jbischof in #2080
• adding deeplab_v3_plus_presets by @divyashreepathihalli in #2051
• [Yolov8 detector] Fix example in docstring by @cosmo3769 in #2082
• Bump python version requirement to 3.9 by @mattdangerw in #2079
• [SAM] Fixed shape issue in example in docstring by @cosmo3769 in #2083
• Use "masks" and "boxes" as prompt keys for SAM by @ianstenbit in #2084
• Support partial prompting in SAM by @ianstenbit in #2085
• Explicitly specify full package for more modules, as shown in #2001 by @BjarneHerland in #2077
• Update VITDet to conform to KerasCV scaling standards by @ianstenbit in #2086
• Resolve mean/std swap for VITDet backbone by @ianstenbit in #2087
• Support importing Keras3 as Keras instead of Keras Core by @ianstenbit in #2089
• remove tests from pypi build by @haifeng-jin in #2094
• Export task models as both models.task.Model and models.Model by @ianstenbit in #2093
• Fix CSPDarkNetBackbone export by @ianstenbit in #2096
• Fix PyTorch tests by @ianstenbit in #2097
• Doc updates to switch branding to Keras 3 by @ianstenbit in #2092
• Fix a flaky test for Segment Anything by @ianstenbit in #2090
• Fix decoding of LabelEncoder for RetinaNet by @ianstenbit in #2099
• Use the proper title for example by @Philmod in #2109
• Fixes Fine-tuning Stable Diffusion by @ID6109 in #2113
• Fixed typo in README.md by @AniketP04 in #2106
• Update mask_invalid_detections.py by @VBPMP in #2117
• Fix the issue (#2102): Add cast to float32 from float16 into Stable D… in #2124
• Fix RetinaNet shape issue by @tirthasheshpatel in #2119
• update reviewers names by @divyashreepathihalli in #2130
• update keras-cv json file name by @divyashreepathihalli in #2128
• Improve keras 3 detection by @divyashreepathihalli in #2132
• Fix Segment Anything Model saving bug by @tirthasheshpatel in #2138
• Adds Nightly package for keras-cv by @sampathweb in #2139
• Set a security policy by @pnacht in #2142
• add Random ops shim by @divyashreepathihalli in #2145
• Replace RandomGenerator with SeedGenerator by @sampathweb in #2150
• Revert "Replace RandomGenerator with SeedGenerator" by @sampathweb in #2161
• Keras 3 compatibility by @divyashreepathihalli in #2170
• fix noise scheduler error in stable diffusion by @divyashreepathihalli in #2171
• Fix the issue(#2158): Add some file names into .gitignore by @y-vectorfield in #2159
• fix shapes error if images was a list. by @divyashreepathihalli in #2173
• Removed setup.py develop from documentation, replaced with pip instal… by @EdIzaguirre in #2118
• Remove keras-nightly pin by @sampathweb in #2174
• fix model None error by @divyashreepathihalli in #2176
• update version error by @divyashreepathihalli in #2175
• Fixes Saving Format related test failures for Keras 3 by @sampathweb in #2180
• Version bump to 0.7.1.dev0 by @sampathweb in #2183
• convert to tensor before smart resize (#2184) by @sampathweb in #2185
• version bump to 0.7.1 by @sampathweb in #2186

New Contributors

• @aaudevart made their first contribution in #2071
• @pnacht made their first contribution in #2075
• @mattdangerw made their first contribution in #2079
• @BjarneHerland made their first contribution in #2077
• @Philmod made their first contribution in #2109
• @AniketP04 made their first contribution in #2106
• @VBPMP made their first contribution in #2117
• @y-vectorfield made their first contribution in #2159
• @EdIzaguirre made their first contribution in #2118

Full Changelog: v0.6.4...v0.7.1