CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog.

[Unreleased]

Added

• Add README.md files to notebooks directories and its subdirectories (openvinotoolkit#993)

Changed

• Remove config flag from OpenVINOInferencer (openvinotoolkit#939)

Deprecated

 Fixed

[v0.4.0] - 2023-03-01

Added

• Add Dobot notebook (openvinotoolkit#928)
• Add ShanghaiTech Campus video anomaly detection dataset (openvinotoolkit#869)
• Add pyupgrade to pre-commit configs, and refactor based on pyupgrade and refurb (openvinotoolkit#845)
• Add CFA model implementation (openvinotoolkit#783)
• Add RKDE model implementation (openvinotoolkit#821)
• Add Visual Anomaly (VisA) dataset adapter (openvinotoolkit#824)
• Add Synthetic anomalous dataset for validation and testing (openvinotoolkit#822)
• Add Detection task type support (openvinotoolkit#822)
• Add UCSDped and Avenue dataset implementation (openvinotoolkit#822)
• Add base classes for video dataset and video datamodule (openvinotoolkit#822)
• Add base classes for image dataset and image dataModule (openvinotoolkit#822)
• ✨ Add CSFlow model (openvinotoolkit#657)
• Log loss for existing trainable models (openvinotoolkit#804)
• Add section for community project (openvinotoolkit#768)
• ✨ Add torchfx feature extractor (openvinotoolkit#675)
• Add tiling notebook (openvinotoolkit#712)
• Add posargs to tox to enable testing a single file (openvinotoolkit#695)
• Add option to load metrics with kwargs (openvinotoolkit#688)
• 🐞 Add device flag to TorchInferencer (openvinotoolkit#601)

Changed

• Bump OpenVINO version to 2022.3.0 (openvinotoolkit#932)
• Remove the dependecy on a specific torchvision and torchmetrics packages.
• Bump PyTorch Lightning version to v.1.9.* (openvinotoolkit#870)
• Make input image normalization and center cropping configurable from config (openvinotoolkit#822)
• Improve flexibility and configurability of subset splitting (openvinotoolkit#822)
• Switch to new datamodules design (openvinotoolkit#822)
• Make normalization and center cropping configurable through config (openvinotoolkit#795)
• Switch to new changelog format. (openvinotoolkit#777)
• Rename feature to task (openvinotoolkit#769)
• make device configurable in OpenVINO inference (openvinotoolkit#755)
• 🚨 Fix torchmetrics version (openvinotoolkit#754)
• Improve NNCF initilization (openvinotoolkit#740)
• Migrate markdownlint + issue templates (openvinotoolkit#738)
• 🐞 Patch Timm Feature Extractor (openvinotoolkit#714)
• Padim arguments improvements (openvinotoolkit#664)
• 📊 Update DFM results (openvinotoolkit#674)
• Optimize anomaly score calculation for PatchCore (openvinotoolkit#633)

Deprecated

• Deprecated PreProcessor class (openvinotoolkit#795)
• Deprecate OptimalF1 metric in favor of AnomalyScoreThreshold and F1Score (openvinotoolkit#796)

Fixed

• Fix bug in anomalib/data/utils/image.py to check if the path is directory (openvinotoolkit#919)
• Fix bug in MVTec dataset download (openvinotoolkit#842)
• Add early stopping to CS-Flow model (openvinotoolkit#817)
• Fix remote container by removing version pinning in Docker files (openvinotoolkit#797)
• Fix PatchCore performance deterioration by reverting changes to Average Pooling layer (openvinotoolkit#791)
• Fix zero seed (openvinotoolkit#766)
• Fix #699 (openvinotoolkit#700)
• 🐞 Fix folder dataset for classification tasks (openvinotoolkit#708)
• Update torchmetrics to fix compute_on_cpu issue (openvinotoolkit#711)
• Correct folder mask path (openvinotoolkit#660)
• Fix >100% confidence issue for OpenVINO inference (openvinotoolkit#667)
• Update pre-commit links and some other minor fixes (openvinotoolkit#672)
• Fix black formatting issues. (openvinotoolkit#674)

[v0.3.7] - 2022-10-28

What's Changed

• Feature/comet logging by @sherpan in openvinotoolkit#517
• 🐞 Fix linting issues by @ashwinvaidya17 in openvinotoolkit#535
• 🐞 Bug Fix: Solve NaN values of anomaly scores for PatchCore model by @bsl546 in openvinotoolkit#549
• 🐞 Bug Fix: Help description for argument task by @youngquan in openvinotoolkit#547
• reutrn results of load_state_dict func by @zywvvd in openvinotoolkit#546
• 🔨 Pass pre-trained from config to ModelLightning by @samet-akcay in openvinotoolkit#529
• Benchmarking tool with Comet by @sherpan in openvinotoolkit#545
• Add map_location when loading the weights by @samet-akcay in openvinotoolkit#562
• Add patchcore to openvino export test + upgrade lightning by @ashwinvaidya17 in openvinotoolkit#565
• 🐞 Fix category check for folder dataset in anomalib CLI by @samet-akcay in openvinotoolkit#567
• Refactor PreProcessor and fix Visualizer denormalization issue. by @samet-akcay in openvinotoolkit#570
• 🔨 Check for successful openvino conversion by @ashwinvaidya17 in openvinotoolkit#571
• Comet HPO by @sherpan in openvinotoolkit#563
• Fix patchcore image-level score computation by @djdameln in openvinotoolkit#580
• Fix anomaly map computation in CFlow when batch size is 1. by @samet-akcay in openvinotoolkit#589
• Documentation refactor by @samet-akcay in openvinotoolkit#576
• ✨ Add notebook for hpo by @ashwinvaidya17 in openvinotoolkit#592
• 🐞 Fix comet HPO by @ashwinvaidya17 in openvinotoolkit#597
• ✨ Replace keys from benchmarking script by @ashwinvaidya17 in openvinotoolkit#595
• Update README.md by @Owaiskhan9654 in openvinotoolkit#623
• 🐳 Containerize CI by @ashwinvaidya17 in openvinotoolkit#616
• add deprecation warning to denormalize class by @djdameln in openvinotoolkit#629
• Anomalib CLI Improvements - Update metrics and create post_processing section in the config file by @samet-akcay in openvinotoolkit#607
• Convert adaptive_threshold to Enum in configs by @samet-akcay in openvinotoolkit#637
• Create meta_data.json with ONNX export as well as OpenVINO export by @calebmm in openvinotoolkit#636
• 🖌 refactor export callback by @ashwinvaidya17 in openvinotoolkit#640
• 🐞 Address docs build by @ashwinvaidya17 in openvinotoolkit#639
• Optimized inference with onnx for patchcore. by @acai66 in openvinotoolkit#652

New Contributors

• @sherpan made their first contribution in openvinotoolkit#517
• @bsl546 made their first contribution in openvinotoolkit#549
• @youngquan made their first contribution in openvinotoolkit#547
• @zywvvd made their first contribution in openvinotoolkit#546
• @Owaiskhan9654 made their first contribution in openvinotoolkit#623
• @calebmm made their first contribution in openvinotoolkit#636
• @acai66 made their first contribution in openvinotoolkit#652

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v0.3.6...v0.3.7

[v.0.3.6] - 2022-09-02

What's Changed

• Add publish workflow + update references to main by @ashwinvaidya17 in openvinotoolkit#480
• Fix Dockerfile by @ORippler in openvinotoolkit#478
• Fix onnx export by rewriting GaussianBlur by @ORippler in openvinotoolkit#476
• DFKDE refactor to accept any layer name like other models by @ashishbdatta in openvinotoolkit#482
• 🐞 Log benchmarking results in sub folder by @ashwinvaidya17 in openvinotoolkit#483
• 🐞 Fix Visualization keys in new CLI by @ashwinvaidya17 in openvinotoolkit#487
• fix Perlin augmenter for non divisible image sizes by @djdameln in openvinotoolkit#490
• 📝 Update the license headers by @samet-akcay in openvinotoolkit#491
• change default parameter values for DRAEM by @djdameln in openvinotoolkit#495
• Add reset methods to metrics by @ashwinvaidya17 in openvinotoolkit#488
• Feature Extractor Refactor by @ashishbdatta in openvinotoolkit#451
• Convert AnomalyMapGenerator to nn.Module by @samet-akcay in openvinotoolkit#497
• Add github pr labeler to automatically label PRs by @samet-akcay in openvinotoolkit#498
• Add coverage by @ashwinvaidya17 in openvinotoolkit#499
• 🐞 Change if check by @ashwinvaidya17 in openvinotoolkit#501
• SSPCAB implementation by @djdameln in openvinotoolkit#500
• 🛠 Refactor Normalization by @ashwinvaidya17 in openvinotoolkit#496
• Enable generic exporting of a trained model to ONNX or OpenVINO IR by @ashishbdatta in openvinotoolkit#509
• Updated documentation to add examples for exporting model by @ashishbdatta in openvinotoolkit#515
• Ignore pixel metrics in classification task by @djdameln in openvinotoolkit#516
• Update export documentation by @djdameln in openvinotoolkit#521
• FIX: PaDiM didn't use config.model.pre_trained. by @jingt2ch in openvinotoolkit#514
• Reset adaptive threshold between epochs by @djdameln in openvinotoolkit#527
• Add PRO metric by @djdameln in openvinotoolkit#508
• Set full_state_update attribute in custom metrics by @djdameln in openvinotoolkit#531
• 🐞 Set normalization method from anomaly module by @ashwinvaidya17 in openvinotoolkit#530

New Contributors

• @ashishbdatta made their first contribution in openvinotoolkit#482
• @jingt2ch made their first contribution in openvinotoolkit#514

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v0.3.5...v0.3.6

[v.0.3.5] - 2022-08-02

What's Changed

• 🐞 Fix inference for draem by @djdameln in openvinotoolkit#470
• 🐞 🛠 Bug fix in the inferencer by @samet-akcay in openvinotoolkit#475

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v0.3.4...v0.3.5

[v.0.3.4] - 2022-08-01

What's Changed

• Add encoding to LONG_DESCRIPTION in setup.py by @samet-akcay in openvinotoolkit#419
• Fix visualization by @ORippler in openvinotoolkit#417
• Fix openvino circular import issue by @samet-akcay in openvinotoolkit#416
• Fix inferener arg names and weight path issue. by @samet-akcay in openvinotoolkit#422
• Remove the redundant loss_val by @samet-akcay in openvinotoolkit#425
• 📃 Add documentation for gradio inference by @ashwinvaidya17 in openvinotoolkit#427
• Add pre_train as a configurable parameter by @samet-akcay in openvinotoolkit#431
• 🛠 Fix config files and refactor dfkde by @samet-akcay in openvinotoolkit#435
• Add metric visualizations by @ORippler in openvinotoolkit#429
• Fix: data split issue by @jeongHwarr in openvinotoolkit#404
• 🚚 Move perlin noise to common folder by @ashwinvaidya17 in openvinotoolkit#424
• Support null seed by @ashwinvaidya17 in openvinotoolkit#437
• 🐞 Change if statement by @ashwinvaidya17 in openvinotoolkit#439
• Fix visualizer for classification, mode=simple by @ORippler in openvinotoolkit#442
• Feature/aupro test by @ORippler in openvinotoolkit#444
• Replace PyTorchLightning extras dependency by @ashwinvaidya17 in openvinotoolkit#455
• 🛠 Fix tox configuration by @samet-akcay in openvinotoolkit#446
• Ignore ipynb files to detect the repo language by @samet-akcay in openvinotoolkit#456
• Move configuration from tox to pyproject by @samet-akcay in openvinotoolkit#458
• Add Torch Inferencer and Update Openvino and Gradio Inferencers. by @samet-akcay in openvinotoolkit#453
• Address markdownlint issues by @samet-akcay in openvinotoolkit#460
• 🐞 Fix HPO by @ashwinvaidya17 in openvinotoolkit#462
• Remove docs requirements by @ashwinvaidya17 in openvinotoolkit#467
• Add codacy badge to readme by @samet-akcay in openvinotoolkit#468

New Contributors

• @ORippler made their first contribution in openvinotoolkit#417
• @jeongHwarr made their first contribution in openvinotoolkit#404

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/0.3.3...0.3.4

[v.0.3.3] - 2022-07-05

What's Changed

• 🚚 Move initialization log message to base class by @djdameln in openvinotoolkit#363
• 🚚 Move logging from train.py to the getter functions by @samet-akcay in openvinotoolkit#365
• 🚜 Refactor loss computation by @djdameln in openvinotoolkit#364
• 📝 Add a technical blog post to explain how to run anomalib. by @ashwinvaidya17 in openvinotoolkit#359
• 📚 Add datamodule jupyter notebooks. by @samet-akcay in openvinotoolkit#357
• 📝 Add benchmarking notebook by @ashwinvaidya17 in openvinotoolkit#353
• ➕ Add PyPI downloads badge to the readme. by @samet-akcay in openvinotoolkit#370
• 📃 Update README.md by @innat in openvinotoolkit#382
• 💻 Create Anomalib CLI by @samet-akcay in openvinotoolkit#378
• 🐞 Fix configs to remove logging heatmaps from classification models. by @samet-akcay in openvinotoolkit#387
• ✨ Add FastFlow model training testing inference via Anomalib API by @samet-akcay in openvinotoolkit#386
• 🐞 PaDim occasionally NaNs in anomaly map by @VdLMV in openvinotoolkit#392
• 🖼 Inference + Visualization by @djdameln in openvinotoolkit#390

New Contributors

• @innat made their first contribution in openvinotoolkit#382
• @VdLMV made their first contribution in openvinotoolkit#392

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v.0.3.2...v.0.3.3

[v.0.3.2] - 2022-06-09

What's Changed

• Refactor AnomalyModule and LightningModules to explicitly define class arguments. by @samet-akcay in openvinotoolkit#315
• 🐞 Fix inferencer in Gradio by @ashwinvaidya17 in openvinotoolkit#332
• fix too many open images warning by @djdameln in openvinotoolkit#334
• Upgrade wandb version by @ashwinvaidya17 in openvinotoolkit#340
• Minor fix: Update folder dataset + notebooks link by @ashwinvaidya17 in openvinotoolkit#338
• Upgrade TorchMetrics version by @djdameln in openvinotoolkit#342
• 🚀 Set pylint version in tox.ini by @ashwinvaidya17 in openvinotoolkit#345
• Add metrics configuration callback to benchmarking by @ashwinvaidya17 in openvinotoolkit#346
• ➕ Add FastFlow Model by @samet-akcay in openvinotoolkit#336
• ✨ Add toy dataset to the repository by @ashwinvaidya17 in openvinotoolkit#350
• Add DRAEM Model by @djdameln in openvinotoolkit#344
• 📃Update documentation by @ashwinvaidya17 in openvinotoolkit#280
• 🏷️ Refactor Datamodule names by @samet-akcay in openvinotoolkit#354
• ✨ Add Reverse Distillation by @ashwinvaidya17 in openvinotoolkit#343

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v.0.3.1...v.0.3.2

[v.0.3.1] - 2022-05-17

What's Changed

• 🔧 Properly assign values to dataframe in folder dataset. by @samet-akcay in openvinotoolkit#272
• ➕ Add warnings ⚠️ for inproper task setting in config files. by @samet-akcay in openvinotoolkit#274
• Updated CHANGELOG.md by @samet-akcay in openvinotoolkit#276
• ➕ Add long description to setup.py to make README.md PyPI friendly. by @samet-akcay in openvinotoolkit#279
• ✨ Add hash check to data download by @ashwinvaidya17 in openvinotoolkit#284
• ➕ Add Gradio by @julien-blanchon in openvinotoolkit#283
• 🔨 Fix nncf key issue in nightly job by @ashwinvaidya17 in openvinotoolkit#238
• Visualizer improvements pt1 by @djdameln in openvinotoolkit#293
• 🧪 Fix nightly by @ashwinvaidya17 in openvinotoolkit#299
• 🧪 Add tests for benchmarking script by @ashwinvaidya17 in openvinotoolkit#297
• ➕ add input_info to nncf config when not defined by user by @djdameln in openvinotoolkit#307
• 🐞 Increase tolerance + nightly path fix by @ashwinvaidya17 in openvinotoolkit#318
• ➕ Add jupyter notebooks directory and first tutorial for getting-started by @samet-akcay in openvinotoolkit#292

New Contributors

• @julien-blanchon made their first contribution in openvinotoolkit#283

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v0.3.0...v.0.3.1

[v.0.3.0] - 2022-04-25

What's Changed

• 🛠 ⚠️ Fix configs to properly use pytorch-lightning==1.6 with GPU by @samet-akcay in openvinotoolkit#234
• 🛠 Fix get_version in setup.py to avoid hard-coding version. by @samet-akcay in openvinotoolkit#229
• 🐞 Fix image loggers by @ashwinvaidya17 in openvinotoolkit#233
• Configurable metrics by @djdameln in openvinotoolkit#230
• Make OpenVINO throughput optional in benchmarking by @ashwinvaidya17 in openvinotoolkit#239
• 🔨 Minor fix: Ensure docs build runs only on isea-server by @ashwinvaidya17 in openvinotoolkit#245
• 🏷 Rename --model_config_path to config by @samet-akcay in openvinotoolkit#246
• Revert "🏷 Rename --model_config_path to config" by @samet-akcay in openvinotoolkit#247
• ➕ Add --model_config_path deprecation warning to inference.py by @samet-akcay in openvinotoolkit#248
• Add console logger by @samet-akcay in openvinotoolkit#241
• Add segmentation mask to inference output by @ashwinvaidya17 in openvinotoolkit#242
• 🛠 Fix broken mvtec link, and split url to fit to 120 by @samet-akcay in openvinotoolkit#264
• 🛠 Fix mask filenames in folder dataset by @samet-akcay in openvinotoolkit#249

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v0.2.6...v0.3.0

[v.0.2.6] - 2022-04-12

What's Changed

• ✏️ Add torchtext==0.9.1 to support Kaggle environments. by @samet-akcay in openvinotoolkit#165
• 🛠 Fix KeyError:'label' in classification folder dataset by @samet-akcay in openvinotoolkit#175
• 📝 Added MVTec license to the repo by @samet-akcay in openvinotoolkit#177
• load best model from checkpoint by @djdameln in openvinotoolkit#195
• Replace SaveToCSVCallback with PL CSVLogger by @samet-akcay in openvinotoolkit#198
• WIP Refactor test by @ashwinvaidya17 in openvinotoolkit#197
• 🔧 Dockerfile enhancements by @LukasBommes in openvinotoolkit#172
• 🛠 Fix visualization issue for fully defected images by @djdameln in openvinotoolkit#194
• ✨ Add hpo search using wandb by @ashwinvaidya17 in openvinotoolkit#82
• Separate train and validation transformations by @alexriedel1 in openvinotoolkit#168
• 🛠 Fix docs workflow by @ashwinvaidya17 in openvinotoolkit#200
• 🔄 CFlow: Switch soft permutation to false by default to speed up training. by @samet-akcay in openvinotoolkit#201
• Return only image, path and label for classification tasks in Mvtec and Btech datasets. by @samet-akcay in openvinotoolkit#196
• 🗑 Remove freia as dependency and include it in anomalib/models/components by @samet-akcay in openvinotoolkit#174
• Visualizer show classification and segmentation by @alexriedel1 in openvinotoolkit#178
• ↗️ Bump up pytorch-lightning version to 1.6.0 or higher by @samet-akcay in openvinotoolkit#193
• 🛠 Refactor DFKDE model by @ashwinvaidya17 in openvinotoolkit#207
• 🛠 Minor fixes: Update callbacks to AnomalyModule by @ashwinvaidya17 in openvinotoolkit#208
• 🛠 Minor update: Update pre-commit docs by @ashwinvaidya17 in openvinotoolkit#206
• ✨ Directory streaming by @ashwinvaidya17 in openvinotoolkit#210
• ✏️ Updated documentation for development on Docker by @LukasBommes in openvinotoolkit#217
• 🏷 Fix Mac M1 dependency conflicts by @dreaquil in openvinotoolkit#158
• 🐞 Set tiling off in pathcore to correctly reproduce the stats. by @samet-akcay in openvinotoolkit#222
• 🐞fix support for non-square images by @ashwinvaidya17 in openvinotoolkit#204
• Allow specifying feature layer and pool factor in DFM by @nahuja-intel in openvinotoolkit#215
• 📝 Add GANomaly metrics to readme by @ashwinvaidya17 in openvinotoolkit#224
• ↗️ Bump the version to 0.2.6 by @samet-akcay in openvinotoolkit#223
• 📝 🛠 Fix inconsistent benchmarking throughput/time by @ashwinvaidya17 in openvinotoolkit#221
• assign test split for folder dataset by @alexriedel1 in openvinotoolkit#220
• 🛠 Refactor model implementations by @djdameln in openvinotoolkit#225

New Contributors

• @LukasBommes made their first contribution in openvinotoolkit#172
• @dreaquil made their first contribution in openvinotoolkit#158
• @nahuja-intel made their first contribution in openvinotoolkit#215

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v.0.2.5...v0.2.6

[v.0.2.5] - 2022-03-25

What's Changed

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

New Contributors

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

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v.0.2.4...v.0.2.5

[v.0.2.4] - 2021-12-22

What's Changed

• Bump up the version to 0.2.4 by @samet-akcay in openvinotoolkit#45
• fix heatmap color scheme by @djdameln in openvinotoolkit#44

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v.0.2.3...v.0.2.4

[v.0.2.3] - 2021-12-23

What's Changed

• Address docs build failing issue by @ashwinvaidya17 in openvinotoolkit#39
• Fix docs pipeline 📄 by @ashwinvaidya17 in openvinotoolkit#41
• Feature/dick/anomaly score normalization by @djdameln in openvinotoolkit#35
• Shuffle train dataloader by @samet-akcay in openvinotoolkit#42

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v0.2.2...v.0.2.3

[v0.2.0 Pre-release] - 2021-12-14

What's Changed

• Address compatibility issues with OTE, that are caused by the legacy code. by @samet-akcay in #24
• Initial docs string by @ashwinvaidya17 in #9
• Load model did not work correctly as DFMModel did not inherit by @ashwinvaidya17 in #5
• Refactor/samet/data by @samet-akcay in #8
• Delete make.bat by @samet-akcay in #11
• TorchMetrics by @djdameln in #7
• ONNX node naming by @djdameln in #13
• Add FPS counter to TimerCallback by @ashwinvaidya17 in #12

Contributors

• @ashwinvaidya17
• @djdameln
• @samet-akcay

Full Changelog: https://github.com/openvinotoolkit/anomalib/commits/v0.2.0