v.0.2.5

What's Changed

• Bugfix: fix random val/test split issue by @djdameln in #48
• Fix Readmes by @ashwinvaidya17 in #46
• Updated changelog by @samet-akcay in #49
• add distinction between image and pixel threshold in postprocessor by @djdameln in #50
• Fix docstrings by @ashwinvaidya17 in #22
• Fix networkx requirement by @LeonidBeynenson in #52
• Add min-max normalization by @djdameln in #53
• Change hardcoded dataset path to environ variable by @ashwinvaidya17 in #51
• Added cflow algorithm by @blakshma in #47
• perform metric computation on cpu by @djdameln in #64
• Fix Inferencer by @ashwinvaidya17 in #60
• Updated readme for cflow and change default config to reflect results by @blakshma in #68
• Fixed issue with model loading by @blakshma in #69
• Docs/sa/fix readme by @samet-akcay in #71
• Updated coreset subsampling method to improve accuracy by @blakshma in #73
• Revert "Updated coreset subsampling method to improve accuracy" by @samet-akcay in #79
• Replace SupportIndex with int by @samet-akcay in #76
• Added reference to official CFLOW repo by @blakshma in #81
• Fixed issue with k_greedy method by @blakshma in #80
• Fix Mix Data type issue on inferencer by @samet-akcay in #77
• Create CODE_OF_CONDUCT.md by @samet-akcay in #86
• ✨ Add GANomaly by @ashwinvaidya17 in #70
• Reorder auc only when needed by @djdameln in #91
• Bump up the pytorch lightning to master branch due to vulnurability issues by @samet-akcay in #55
• 🚀 CI: Nightly Build by @ashwinvaidya17 in #66
• Refactor by @ashwinvaidya17 in #87
• Benchmarking Script by @ashwinvaidya17 in #17
• 🐞 Fix tensor detach and gpu count issues in benchmarking script by @ashwinvaidya17 in #100
• Return predicted masks in predict step by @djdameln in #103
• Add Citation to the Readme by @samet-akcay in #106
• Nightly build by @ashwinvaidya17 in #104
• c_idx cast to LongTensor in random sparse projection by @alexriedel1 in #113
• Update Nightly by @ashwinvaidya17 in #126
• Updated logos by @samet-akcay in #131
• Add third-party-programs.txt file and update license by @LeonidBeynenson in #132
• 🔨 Increase inference + openvino support by @ashwinvaidya17 in #122
• Fix/da/image size bug by @djdameln in #135
• Fix/da/image size bug by @djdameln in #140
• optimize compute_anomaly_score by using torch native funcrtions by @alexriedel1 in #141
• Fix IndexError in adaptive threshold computation by @djdameln in #146
• Feature/data/btad by @samet-akcay in #120
• Update for nncf_task by @AlexanderDokuchaev in #145
• fix non-adaptive thresholding bug by @djdameln in #152
• Calculate feature map shape patchcore by @alexriedel1 in #148
• Add transform_config to the main config.yaml file. by @samet-akcay in #156
• Add Custom Dataset Training Support by @samet-akcay in #154
• Added extension as an option when saving the result images. by @samet-akcay in #162
• Update anomalib version and requirements by @samet-akcay in #163

New Contributors

• @LeonidBeynenson made their first contribution in #52
• @blakshma made their first contribution in #47
• @alexriedel1 made their first contribution in #113
• @AlexanderDokuchaev made their first contribution in #145

Full Changelog: v.0.2.4...v.0.2.5