v1.0.1

What's Changed

• 📚 Update the getting started notebook by @samet-akcay in #1800
• Hot-fix wrong requirement for setup.py by @harimkang in #1823
• 🐞Fix the error if the device in masks_to_boxes is not both CPU and CUDA by @danylo-boiko in #1839
• 🛠️ Update changelog by @ashwinvaidya17 in #1842
• Fix dobot notebook by @djdameln in #1852
• Refactored-assert-statements-with-explicit-error-handling by @sahusiddharth in #1825
• Remove input_size argument from models #1827 by @Shakib-IO in #1856
• Add requirements into pyproject.toml & Refactor anomalib install get_requirements by @harimkang in #1808
• Made-imagenette-path-configurable-in-config by @sahusiddharth in #1833
• 🔨 Update OpenVINO predict to handle normalization inside the method. by @samet-akcay in #1875
• 🛠️ Ensure images are loaded in RGB format by @davnn in #1866
• 🚀 Allow validation splits from training data by @davnn in #1865
• 🐞 Fix CLI config and update the docs. by @samet-akcay in #1886
• ✨ Upgrade TorchMetrics by @ashwinvaidya17 in #1879
• Address minor WinCLIP issues by @djdameln in #1889
• 📚 Add action to check broken links by @AlexanderDokuchaev in #1838
• Use LabelName ENUM for label assignment by @TurboJonte in #1881
• Changed prediction label assignment for OpenVINO inferencer by @TurboJonte in #1872
• Merge v1.0.1 to main by @samet-akcay in #1905
• 🐞 Disable tty prompt for gpg signing by @ashwinvaidya17 in #1915
• Update publish.yml by @samet-akcay in #1916
• Create dependabot.yml by @samet-akcay in #1914
• Bump torchmetrics from 0.10.3 to 1.3.2 by @dependabot in #1925

New Contributors

• @sahusiddharth made their first contribution in #1825
• @Shakib-IO made their first contribution in #1856
• @davnn made their first contribution in #1866
• @TurboJonte made their first contribution in #1881

Full Changelog: v1.0.0...v1.0.1

v1.0.0

What's Changed

• [Chore] Modify README custom dataset by @Kiminjo in #1314
• Version bump by @ashwinvaidya17 in #1305
• 🩹 Fix docs build by @ashwinvaidya17 in #1307
• Fix the readthedocs config by @samet-akcay in #1322
• Fix PRO metric calculation on GPU by @blaz-r in #1317
• Change the documentation URL in README.md and add commands to run each inferencer by @samet-akcay in #1326
• Fix dockerfile cuda version by @phcarval in #1330
• Add setuptools as a requirement (via pkg_resources) by @murilo-cunha in #1168
• adding KMeans PyTorch Implementation to cfa model by @aadhamm in #998
• Fix patchcore interpolation by @jpcbertoldo in #1335
• Efficient ad reduced memory footprint by @MG109 in #1340
• Allow dynamic batch-sizes when exporting to ONNX, instead if fixed input shapes by @BeeAlarmed in #1347
• Add support to backbone URI in config. by @mzweilin in #1343
• fix(docs): typo by @pirnerjonas in #1353
• Add extra checks to TorchInferencer model and metadata loading by @samet-akcay in #1350
• Fix tiling for Reverse Distillation and STFPM by @blaz-r in #1319
• README: Synchronize OV version with requirements by @sovrasov in #1358
• Update the broken link in training.rst by @samet-akcay in #1363
• Fix EfficientAD to use width and height of the input by @abc-125 in #1355
• chore(deps): update timm to 0.6.13 by @Gornoka in #1373
• Handle dict objects in TorchInferencer by @samet-akcay in #1354
• Missing indentation in metrics.rst docs by @caiolang in #1379
• Add tag to workflow by @ashwinvaidya17 in #1382
• Address tiler issues by @djdameln in #1411
• Refactor Reverse Distillation to match official code by @abc-125 in #1389
• Patch for the WinError183 on the OpenVino export mode by @ggiret-thinkdeep in #1386
• Add DSR model by @phcarval in #1142
• Fix unexpected key pixel_metrics.AUPRO.fpr_limit by @WenjingKangIntel in #1055
• Improved speed and memory usage of mean+std calculation by @belfner in #1457
• preexisting OpenCV version check added to setup.py, ran formatting pre-commit hooks on previous contribution. by @abdullamatar in #1424
• 🐞 Hotfix: Limit Gradio Version by @samet-akcay in #1458
• Fix/efficient ad normalize before every validation by @abc-125 in #1441
• Fix DRAEM by @blaz-r in #1431
• Adding U-Flow method by @mtailanian in #1415
• 📘 Announce anomalib v1 on the main README.md by @samet-akcay in #1542
• Fixed DSR by @phcarval in #1486
• Refactor/extensions custom dataset by @abc-125 in #1562
• 📚 Modify the PR template by @samet-akcay in #1611
• Fix result image URLs by @f0k in #1510
• 🐞 Fix broken 501 notebooks by @adrianboguszewski in #1630
• Fixed shape error, allowing arbitary image sizes for EfficientAD by @holzweber in #1537
• 🚀 V1 by @ashwinvaidya17 in #1663
• 🔨 Fix the broken images on README.md by @samet-akcay in #1666
• 📚 Remove github pages by @samet-akcay in #1667
• 🔒 Validate path before processing by @samet-akcay in #1668
• 📚 Update RKDE lighting model file header (hence docs) with paper URL by @tobybreckon in #1671
• 🔒 Address checkmarx issues. by @samet-akcay in #1672
• 📚 Update contribution guidelines by @samet-akcay in #1677
• 🐞 Fix GMM test by @ashwinvaidya17 in #1696
• 🔨 Refactor Visualisation by @ashwinvaidya17 in #1693
• 📚 Add docs for the depth data by @willyfh in #1694
• 📚 Add docs for the U-Flow model by @willyfh in #1695
• 📚 Fix indentation and add license for the ShanghaiTech Campus Dataset by @willyfh in #1701
• 📚 Add docs for the DSR model by @willyfh in #1700
• 📚 Add news section to docs by @samet-akcay in #1689
• 📚 Update the CHANGELOG.md file by @samet-akcay in #1709
• 📚 Add the missing paper link for the DFM and FastFlow models by @willyfh in #1704
• 📚 Add GOVERNANCE.mdfile by @samet-akcay in #1716
• 🔒 Add bandit checks to pre-commit by @samet-akcay in #1710
• 📚 Add sdd and contributing guidelines to the documentation by @samet-akcay in #1708
• Fix scheduler num_steps for EfficientAD by @blaz-r in #1705
• 🔒 Add GPG keys to sign the python wheel to publish on pypi by @samet-akcay in #1687
• Fixed OpenVINO notebooks by @adrianboguszewski in #1678
• 📚 Add test documentation to the readme file by @samet-akcay in #1734
• Test OpenVINO export by @adrianboguszewski in #1681
• 🔨 Allow string types in CLI enums by @ashwinvaidya17 in #1741
• 🔨 Refactor type alias by @ashwinvaidya17 in #1742
• 🗑️Remove HPO and Benchmarking from CLI by @ashwinvaidya17 in #1743
• 🚨Fix predict_step in AnomalyModule by @ashwinvaidya17 in #1746
• 📚 Documentation update: fix a typo of README by @youngquan in #1753
• 💥 Create a script to upgrade v0.* configuration format to v1 by @samet-akcay in #1738
• 🔨 Remove CDF normalization and temporarily remove pipelines. by @samet-akcay in #1761
• Fix the imports to fit in OpenVINO 2023.3 by @prob1995 in #1756
• 🚀 Remove pl dependency from Anomalib CLI & Add install subcommand by @harimkang in #1748
• 🐞Fix visualization by @ashwinvaidya17 in #1766
• 📚 Add Secure development knowledge section to SECURE.md file by @samet-akcay in #1751
• 🔨 Add default metrics to Engine by @samet-akcay in #1769
• 🔨 Rename DynamicBufferModule to DynamicBufferMixin by @danylo-boiko in #1776
• 🔒 Replace md5 with sha-256 by @samet-akcay in #1680
• 🔨 Refactor Engine.predict method by @ashwinvaidya17 in #1772
• change Dockerfile to fix #1775 by @thinhngo-x in #1781
• Add explicit requirements to docs build workflow by @ashwinvaidya17 in #1787
• 🔨 📄 Change config location by @ashwinvaidya17 in #1786
• 🩹Minor fixes by @ashwinvaidya17 in #1788
• 🔨 📄 Change config location 2 by @ashwinvaidya17 in #1789
• 📚 Update the installation instructions by @samet-akcay in #1790
• ⏳ Restore Images by @ashwinvaidya17 in #1791
• 🚀 Replace albumentations with torchvision transforms by...

Hazelnut Toy Dataset

This relase contains the hazelnut toy dataset that is used to demonstrate custom data operations that could be done with anomalib. It is a toy dataset for quick demonstration and experimentation.

v0.7.0

What's Changed

[v0.7.0] - 2023-08-28

Added

• AUPRO binning capability by @Yann-CV in #1145
• Add support for receiving dataset paths as a list by @harimkang in #1265
• Add modelAPI compatible OpenVINO export by @ashwinvaidya17 in #1219

Changed

• Enable training with only normal images for MVTec by @djdameln in #1241
• Improve default settings of EfficientAD by @nelson1425 in #1143
• Added the tracer_kwargs to the TorchFXFeatureExtractor class by @JoaoGuibs in #1214
• Replace cdist in Patchcore by @blaz-r in #1267
• Ignore hidden directories when creating Folder dataset by @samet-akcay in #1268

Fixed

• Fix typechecking error for toch.onnx.export by @ORippler in #1159
• Fix benchmarking type error by @blaz-r in #1155
• Fix incorrect shape mismatch between anomaly map and ground truth mask by @alexriedel1 in #1182
• Fix dataset keys in benchmarking notebook by @samet-akcay in #1242
• Remove config from argparse in OpenVINO inference script by @samet-akcay in #1257
• Fix EfficientAD number of steps for optimizer lr change by @samet-akcay in #1266
• Fix unable to read the mas image by @samet-akcay in #1277

New Contributors

• @nelson1425 made their first contribution in #1143
• @Seanny123 made their first contribution in #1246
• @JoaoGuibs made their first contribution in #1214
• @harimkang made their first contribution in #1265
• @Yann-CV made their first contribution in #1145

Full Changelog: v0.6.0...v0.7.0

DSR Pretrained Weights

Description

This release contains the pre-trained weights for the DSR model. The weights are obtained from https://github.com/VitjanZ/DSR_anomaly_detection.

v0.6.0

What's Changed

[v0.6.0] - 2023-06-15

Added

• EfficientAD by @alexriedel1 in #1073
• AI-VAD bbox post-processing by @djdameln in #1103
• Add dataset categories to data modules by @samet-akcay in #1105
• Pass codedov token from environment by @ashwinvaidya17 in #1102

Changed

• OV API2.0 by @paularamo in #1098

Deprecated

• OV API1.0 by @paularamo in #1098

Fixed

• Fix Fastflow ONNX export. by @jasonvanzelm in #1108
• Fix tile import typo by @xbkaishui in #1106
• Fix pre-commit issues caused by the EfficientAD PR by @samet-akcay in #1114
• Bump requests from 2.26.0 to 2.31.0 in /requirements by @dependabot in #1100

New Contributors

• @xbkaishui made their first contribution in #1106
• @jasonvanzelm made their first contribution in #1108

Full Changelog: v0.5.1...v0.6.0

EfficientAD Pretrained Weights

Description

This release contains the pre-trained weights for the small and medium teacher networks of the EfficientAD model. Please refer to the paper for more details.

v0.5.1

What's Changed

Added

• 🧪 Add tests for tools by @ashwinvaidya17 in #1069
• Add kolektor dataset by @Ravindu987 in #983

Changed

• Rename metadata_path to metadata in OpenvinoInferencer in #1101
• 📝 [Notebooks] - Simplify the dobot notebooks. by @samet-akcay in #1084
• Upgrade python to 3.10 by @samet-akcay in #1035
• 📝 [Notebooks] - Install anomalib via pip in the Jupyter Notebooks by @samet-akcay in #1091
• Update code-scan workflow to use Trivy by @yunchu in #1097

Fixed

• Fix init_state_dict bug in wrap_nncf_model in #1101
• Fix mypy pep561 by @WenjingKangIntel in #1088
• 📝 [Notebooks] Fix the broken formatting by @samet-akcay in #1090

Full Changelog: v0.5.0...v0.5.1

v0.5.0

[v0.5.0] - 2023-05-09

Added

• 📚 Add OpenVINO Inference to getting started notebook. by @samet-akcay in #897
• Mvtec 3d by @alexriedel1 in #907
• MVTec 3D and Folder3D by @alexriedel1 in #942
• add reorder=True argument in aupro by @triet1102 in #944
• always reorder inputs when computing AUROC by @djdameln in #945
• always reorder for aupr metric by @triet1102 in #975
• Add README.md files to notebooks directories and its subdirectories (#993)
• Set transformations from the config file by @alexriedel1 in #990
• Add contributors to README.md by @samet-akcay in #995
• Add codeowners file by @samet-akcay in #1019
• Configure reference frame for multi-frame video clips by @djdameln in #1023
• [Algo] Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection by @djdameln in #1040

Changed

• Switch to src layout by @samet-akcay in #921
• Remove config flag from OpenVINOInferencer (#939)
• Add ruff as the main linter by @samet-akcay in #936
• Add a new workflow for code scanning by @yunchu in #940
• Enable bandit scanning by @yunchu in #954
• 🐳 Update Containers and Readme by @ashwinvaidya17 in #952
• Refactor AUPRO metric by @triet1102 in #991
• enable auto-fixing for ruff in pre-commit by @djdameln in #1004
• Refactor strings and ints into enum.Enum by @WenjingKangIntel in #1044
• Modify codecov upload by @ashwinvaidya17 in #1080

Deprecated

• Remove torchvision and torchtext by @samet-akcay in #903
• Remove codacy from ci docs by @ashwinvaidya17 in #924
• Remove config dependency from OpenVINOInferencer by @samet-akcay in #939
• Remove config from torch inferencer by @samet-akcay in #1001

Fixed

• Bugfix code logic to allow for passing of nn.Module to TorchFXFeatureExtractor by @ORippler in #935
• fix broken links to tutorials (ex guides) by @sergiev in #957
• Fixed outdated info in readme by @blaz-r in #969
• Fix ruff isort integration by @samet-akcay in #976
• Fix/samples dataframe annotation by @samet-akcay in #981
• Fixed openvino_inferencer in gradio_inference by @blaz-r in #972
• Fix issue in tutorial by @Ravindu987 in #997
• Fix tarfile vulnerability by @djdameln in #1003
• Cuda 11.4 dockerfile fix by @phcarval in #1021
• Make anomalib PEP 561 compliant for mypy by @WenjingKangIntel in #1038
• [Bug: 839] Crop in SSPCAB implementation by @isaacncz in #1057
• [Bug: 865] datamodule.setup() assertion failed by @isaacncz in #1058
• Fix logger message for test_split_ratio by @ugotsoul in #1071
• Fix notebook readme formatting by @samet-akcay in #1075

New Contributors

• @triet1102 made their first contribution in #944
• @sergiev made their first contribution in #957
• @blaz-r made their first contribution in #969
• @ineiti made their first contribution in #987
• @Ravindu987 made their first contribution in #997
• @phcarval made their first contribution in #1021
• @WenjingKangIntel made their first contribution in #1038
• @isaacncz made their first contribution in #1057
• @ugotsoul made their first contribution in #1071

Full Changelog: v0.4.0...v0.5.0

v0.4.0

What's Changed

Added

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

Changed

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

Deprecated

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

Fixed

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

New Contributors

• @jpcbertoldo made their first contribution in #660
• @tanemaki made their first contribution in #766
• @Jonas1302 made their first contribution in #771
• @yunchu made their first contribution in #885
• @strelka145 made their first contribution in #919

Full Changelog: v0.3.7...v0.4.0