Changelog

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

The format is based on Keep a Changelog.

[Unreleased]

Added

🚀 Update OpenVINO and ONNX export to support fixed input shape by @adrianboguszewski in #2006
Add data_path argument to predict entrypoint and add properties for retrieving model path by @djdameln in #2018

Changed

Use default model-specific eval transform when only train_transform specified by @djdameln(https://github.com/djdameln) in (#1953)
🔨Rename OptimalF1 to F1Max for consistency with the literature, by @samet-akcay in #1980
🐞Update OptimalF1 score to use BinaryPrecisionRecallCurve and remove num_classes by @ashwinvaidya17 in #1972

Deprecated

Fixed

New Contributors

Full Changelog:

[v1.0.1] - 2024-03-27

Added

Add requirements into pyproject.toml & Refactor anomalib install get_requirements by @harimkang in #1808

Changed

📚 Update the getting started notebook by @samet-akcay in #1800
🔨Refactored-assert-statements-with-explicit-error-handling by @sahusiddharth in #1825
🔨Made-imagenette-path-configurable-in-config by @sahusiddharth in #1833
🛠️ Update changelog by @ashwinvaidya17 in #1842
Remove input_size argument from models #1827 by @Shakib-IO in #1856
🚀 Allow validation splits from training data by @davnn in #1865
🛠️ Ensure images are loaded in RGB format by @davnn in #1866
🔨 Update OpenVINO predict to handle normalization inside the method. by @samet-akcay in #1875
✨ Upgrade TorchMetrics by @ashwinvaidya17 in #1879
Address minor WinCLIP issues by @djdameln in #1889

Deprecated

Fixed

🐞 Fix single-frame video input size by @djdameln (#1910)
🐞 Fix dobot notebook by @djdameln in #1852
🐞 Fix CLI config and update the docs. by @samet-akcay in #1886
🐞 Fix the error if the device in masks_to_boxes is not both CPU and CUDA by @danylo-boiko in #1839
🐞 Hot-fix wrong requirement for setup.py by @harimkang in #1823
🐞 Use right interpolation method in WinCLIP resize (#1889)
🐞 Fix the error if the device in masks_to_boxes is not both CPU and CUDA by @danylo-boiko in #1839

New Contributors

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

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v1.0.0...v1.0.1

[v1.0.0] - 2024-02-29

Added

🚀 Add KMeans PyTorch Implementation to cfa model by @aadhamm in #998
🚀 Add DSR model by @phcarval in #1142
⚙️ Add setuptools as a requirement (via pkg_resources) by @murilo-cunha in #1168
🚀 Add support to backbone URI in config. by @mzweilin in #1343
⚙️ Add extra checks to TorchInferencer model and metadata loading by @samet-akcay in #1350
⚙️ Handle dict objects in TorchInferencer by @samet-akcay in #1354
⚙️ Add tag to workflow by @ashwinvaidya17 in #1382
🚀 Adding U-Flow method by @mtailanian in #1415
🚀 V1 by @ashwinvaidya17 in #1663
📚 Announce anomalib v1 on the main README.md by @samet-akcay in #1542
📚 Add docs for the depth data by @willyfh in #1694
📚 Add docs for the U-Flow model by @willyfh in #1695
📚 Add docs for the DSR model by @willyfh in #1700
📚 Add news section to docs by @samet-akcay in #1689
📚 Add test documentation to the readme file by @samet-akcay in #1734
🔨 Allow string types in CLI enums by @ashwinvaidya17 in #1741
🚀 Remove pl dependency from Anomalib CLI & Add install subcommand by @harimkang in #1748
📚 Add Secure development knowledge section to SECURE.md file by @samet-akcay in #1751
🔨 Add default metrics to Engine by @samet-akcay in #1769
Enable image-level normalization flag by @ashwinvaidya17 in #1771
Add explicit requirements to docs build workflow by @ashwinvaidya17 in #1787
Add test case to model transform tests by @djdameln in #1795
📚 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

Changed

🔨 Version bump by @ashwinvaidya17 in #1305
🔨 Modify README custom dataset by @Kiminjo in #1314
🔨 Change the documentation URL in README.md and add commands to run each inferencer by @samet-akcay in #1326
🔨 Allow dynamic batch-sizes when exporting to ONNX, instead if fixed input shapes by @BeeAlarmed in #1347
🔨 README: Synchronize OV version with requirements by @sovrasov in #1358
🔨 update timm to 0.6.13 by @Gornoka in #1373
🔨 Refactor Reverse Distillation to match official code by @abc-125 in #1389
🔨 Address tiler issues by @djdameln in #1411
🔨 preexisting OpenCV version check added to setup.py, ran formatting pre-commit hooks on previous contribution. by @abdullamatar in #1424
🔨 Improved speed and memory usage of mean+std calculation by @belfner in #1457
🔨 Changed default inference device to AUTO in #1534
🔨 Refactor/extensions custom dataset by @abc-125 in #1562
📚 Modify the PR template by @samet-akcay in #1611
📚 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
🔒 Replace md5 with sha-256 by @samet-akcay in #1680
🔨 Refactor Visualisation by @ashwinvaidya17 in #1693
🚀 Replace albumentations with torchvision transforms by @djdameln in #1706
💥 Create a script to upgrade v0.* configuration format to v1 by @samet-akcay in #1738
🔨 Refactor type alias by @ashwinvaidya17 in #1742
🔨 Remove Lightning dependencies from the CLI and Add anomalib install subcommand by @harimkang in #1748
🔨 Refactor Engine.predict method by @ashwinvaidya17 in #1772
🔨 Rename DynamicBufferModule to DynamicBufferMixin by @danylo-boiko in #1776
🔨 Refactor Engine args: Create workspace directory from API by @samet-akcay in #1773
Change Dockerfile to fix #1775 by @thinhngo-x in #1781
🔨 📄 Change config location 2 by @ashwinvaidya17 in #1789
Update setup logic in model and datamodule by @djdameln in #1794
Cleanup notebooks by @djdameln in #1796
🔨 Remove access denied error by @samet-akcay in #1797
📚 Update the installation instructions by @samet-akcay in #1790

Deprecated

Support only Python 3.10 and greater in #1299
🗑️ Remove HPO and Benchmarking from CLI by @ashwinvaidya17 in #1743
🔨 Remove CDF normalization and temporarily remove pipelines. by @samet-akcay in #1761

Fixed

🐞 Fix unexpected key pixel_metrics.AUPRO.fpr_limit by @WenjingKangIntel in #1055
📚 Fix docs build by @ashwinvaidya17 in #1307
🐞 Fix tiling for Reverse Distillation and STFPM by @blaz-r in #1319
📚 Fix the readthedocs config by @samet-akcay in #1322
🐞 Fix PRO metric calculation on GPU by @blaz-r in #1317
🐞 Fix dockerfile cuda version by @phcarval in #1330
🐞 Fix patchcore interpolation by @jpcbertoldo in #1335
🔨 Efficient ad reduced memory footprint by @MG109 in #1340
📚 Fix(docs): typo by @pirnerjonas in #1353
🐞 Fix EfficientAD to use width and height of the input by @abc-125 in #1355
📚 Fix the broken link in training.rst by @samet-akcay in #1363
📚 Missing indentation in metrics.rst docs by @caiolang in #1379
🐞 Patch for the WinError183 on the OpenVino export mode by @ggiret-thinkdeep in #1386
🐞 Fix DRAEM by @blaz-r in #1431
🐞 Fix/efficient ad normalize before every validation by @abc-125 in #1441
🐞 Hotfix: Limit Gradio Version by @samet-akcay in #1458
🔨 Fixed DSR by @phcarval in #1486
📚 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
📚 Fix the broken images on README.md by @samet-akcay in #1666
Fixed OpenVINO notebooks by @adrianboguszewski in #1678
🐞 Fix GMM test by @ashwinvaidya17 in #1696
📚 Fix indentation and add license for the ShanghaiTech Campus Dataset by @willyfh in #1701
🚨Fix predict_step in AnomalyModule by @ashwinvaidya17 in #1746
Fix the imports to fit in OpenVINO 2023.3 by @prob1995 in #1756
📚 Documentation update: fix a typo of README by @youngquan in #1753
🐞Fix visualization by @ashwinvaidya17 in #1766
🩹Minor fixes by @ashwinvaidya17 in #1788
⏳ Restore Images by @ashwinvaidya17 in #1791

New Contributors

@Kiminjo made their first contribution in #1314
@murilo-cunha made their first contribution in #1168
@aadhamm made their first contribution in #998
@MG109 made their first contribution in #1340
@BeeAlarmed made their first contribution in #1347
@pirnerjonas made their first contribution in #1353
@sovrasov made their first contribution in #1358
@abc-125 made their first contribution in #1355
@Gornoka made their first contribution in #1373
@caiolang made their first contribution in #1379
@ggiret-thinkdeep made their first contribution in #1386
@belfner made their first contribution in #1457
@abdullamatar made their first contribution in #1424
@mtailanian made their first contribution in #1415
@f0k made their first contribution in #1510
@holzweber made their first contribution in #1537
@tobybreckon made their first contribution in #1671
@prob1995 made their first contribution in #1756
@danylo-boiko made their first contribution in #1776
@thinhngo-x made their first contribution in #1781

Full Changelog: https://github.com/openvinotoolkit/anomalib/compare/v0.7.0...v1.0.0

[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 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

[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: https://github.com/openvinotoolkit/anomalib/compare/v0.5.1...v0.6.0

[v0.5.1] - 2023-05-24

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

[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: https://github.com/openvinotoolkit/anomalib/compare/v0.4.0...v0.5.0

[v0.4.0] - 2023-03-01

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

Configure reference frame for multi-frame video clips (#1023)
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)

[v0.3.7] - 2022-10-28

What's Changed

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

New Contributors

@sherpan made their first contribution in #517
@bsl546 made their first contribution in #549
@youngquan made their first contribution in #547
@zywvvd made their first contribution in #546
@Owaiskhan9654 made their first contribution in #623
@calebmm made their first contribution in #636
@acai66 made their first contribution in #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 #480
Fix Dockerfile by @ORippler in #478
Fix onnx export by rewriting GaussianBlur by @ORippler in #476
DFKDE refactor to accept any layer name like other models by @ashishbdatta in #482
🐞 Log benchmarking results in sub folder by @ashwinvaidya17 in #483
🐞 Fix Visualization keys in new CLI by @ashwinvaidya17 in #487
fix Perlin augmenter for non divisible image sizes by @djdameln in #490
📝 Update the license headers by @samet-akcay in #491
change default parameter values for DRAEM by @djdameln in #495
Add reset methods to metrics by @ashwinvaidya17 in #488
Feature Extractor Refactor by @ashishbdatta in #451
Convert AnomalyMapGenerator to nn.Module by @samet-akcay in #497
Add github pr labeler to automatically label PRs by @samet-akcay in #498
Add coverage by @ashwinvaidya17 in #499
🐞 Change if check by @ashwinvaidya17 in #501
SSPCAB implementation by @djdameln in #500
🛠 Refactor Normalization by @ashwinvaidya17 in #496
Enable generic exporting of a trained model to ONNX or OpenVINO IR by @ashishbdatta in #509
Updated documentation to add examples for exporting model by @ashishbdatta in #515
Ignore pixel metrics in classification task by @djdameln in #516
Update export documentation by @djdameln in #521
FIX: PaDiM didn't use config.model.pre_trained. by @jingt2ch in #514
Reset adaptive threshold between epochs by @djdameln in #527
Add PRO metric by @djdameln in #508
Set full_state_update attribute in custom metrics by @djdameln in #531
🐞 Set normalization method from anomaly module by @ashwinvaidya17 in #530

New Contributors

@ashishbdatta made their first contribution in #482
@jingt2ch made their first contribution in #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 #470
🐞 🛠 Bug fix in the inferencer by @samet-akcay in #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 #419
Fix visualization by @ORippler in #417
Fix openvino circular import issue by @samet-akcay in #416
Fix inferener arg names and weight path issue. by @samet-akcay in #422
Remove the redundant loss_val by @samet-akcay in #425
📃 Add documentation for gradio inference by @ashwinvaidya17 in #427
Add pre_train as a configurable parameter by @samet-akcay in #431
🛠 Fix config files and refactor dfkde by @samet-akcay in #435
Add metric visualizations by @ORippler in #429
Fix: data split issue by @jeongHwarr in #404
🚚 Move perlin noise to common folder by @ashwinvaidya17 in #424
Support null seed by @ashwinvaidya17 in #437
🐞 Change if statement by @ashwinvaidya17 in #439
Fix visualizer for classification, mode=simple by @ORippler in #442
Feature/aupro test by @ORippler in #444
Replace PyTorchLightning extras dependency by @ashwinvaidya17 in #455
🛠 Fix tox configuration by @samet-akcay in #446
Ignore ipynb files to detect the repo language by @samet-akcay in #456
Move configuration from tox to pyproject by @samet-akcay in #458
Add Torch Inferencer and Update Openvino and Gradio Inferencers. by @samet-akcay in #453
Address markdownlint issues by @samet-akcay in #460
🐞 Fix HPO by @ashwinvaidya17 in #462
Remove docs requirements by @ashwinvaidya17 in #467
Add codacy badge to readme by @samet-akcay in #468

New Contributors

@ORippler made their first contribution in #417
@jeongHwarr made their first contribution in #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 #363
🚚 Move logging from train.py to the getter functions by @samet-akcay in #365
🚜 Refactor loss computation by @djdameln in #364
📝 Add a technical blog post to explain how to run anomalib. by @ashwinvaidya17 in #359
📚 Add datamodule jupyter notebooks. by @samet-akcay in #357
📝 Add benchmarking notebook by @ashwinvaidya17 in #353
➕ Add PyPI downloads badge to the readme. by @samet-akcay in #370
📃 Update README.md by @innat in #382
💻 Create Anomalib CLI by @samet-akcay in #378
🐞 Fix configs to remove logging heatmaps from classification models. by @samet-akcay in #387
✨ Add FastFlow model training testing inference via Anomalib API by @samet-akcay in #386
🐞 PaDim occasionally NaNs in anomaly map by @VdLMV in #392
🖼 Inference + Visualization by @djdameln in #390

New Contributors

@innat made their first contribution in #382
@VdLMV made their first contribution in #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 #315
🐞 Fix inferencer in Gradio by @ashwinvaidya17 in #332
fix too many open images warning by @djdameln in #334
Upgrade wandb version by @ashwinvaidya17 in #340
Minor fix: Update folder dataset + notebooks link by @ashwinvaidya17 in #338
Upgrade TorchMetrics version by @djdameln in #342
🚀 Set pylint version in tox.ini by @ashwinvaidya17 in #345
Add metrics configuration callback to benchmarking by @ashwinvaidya17 in #346
➕ Add FastFlow Model by @samet-akcay in #336
✨ Add toy dataset to the repository by @ashwinvaidya17 in #350
Add DRAEM Model by @djdameln in #344
📃Update documentation by @ashwinvaidya17 in #280
🏷️ Refactor Datamodule names by @samet-akcay in #354
✨ Add Reverse Distillation by @ashwinvaidya17 in #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 #272
➕ Add warnings ⚠️ for inproper task setting in config files. by @samet-akcay in #274
Updated CHANGELOG.md by @samet-akcay in #276
➕ Add long description to setup.py to make README.md PyPI friendly. by @samet-akcay in #279
✨ Add hash check to data download by @ashwinvaidya17 in #284
➕ Add Gradio by @julien-blanchon in #283
🔨 Fix nncf key issue in nightly job by @ashwinvaidya17 in #238
Visualizer improvements pt1 by @djdameln in #293
🧪 Fix nightly by @ashwinvaidya17 in #299
🧪 Add tests for benchmarking script by @ashwinvaidya17 in #297
➕ add input_info to nncf config when not defined by user by @djdameln in #307
🐞 Increase tolerance + nightly path fix by @ashwinvaidya17 in #318
➕ Add jupyter notebooks directory and first tutorial for getting-started by @samet-akcay in #292

New Contributors

@julien-blanchon made their first contribution in #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 #234
🛠 Fix get_version in setup.py to avoid hard-coding version. by @samet-akcay in #229
🐞 Fix image loggers by @ashwinvaidya17 in #233
Configurable metrics by @djdameln in #230
Make OpenVINO throughput optional in benchmarking by @ashwinvaidya17 in #239
🔨 Minor fix: Ensure docs build runs only on isea-server by @ashwinvaidya17 in #245
🏷 Rename --model_config_path to config by @samet-akcay in #246
Revert "🏷 Rename --model_config_path to config" by @samet-akcay in #247
➕ Add --model_config_path deprecation warning to inference.py by @samet-akcay in #248
Add console logger by @samet-akcay in #241
Add segmentation mask to inference output by @ashwinvaidya17 in #242
🛠 Fix broken mvtec link, and split url to fit to 120 by @samet-akcay in #264
🛠 Fix mask filenames in folder dataset by @samet-akcay in #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 #165
🛠 Fix KeyError:'label' in classification folder dataset by @samet-akcay in #175
📝 Added MVTec license to the repo by @samet-akcay in #177
load best model from checkpoint by @djdameln in #195
Replace SaveToCSVCallback with PL CSVLogger by @samet-akcay in #198
WIP Refactor test by @ashwinvaidya17 in #197
🔧 Dockerfile enhancements by @LukasBommes in #172
🛠 Fix visualization issue for fully defected images by @djdameln in #194
✨ Add hpo search using wandb by @ashwinvaidya17 in #82
Separate train and validation transformations by @alexriedel1 in #168
🛠 Fix docs workflow by @ashwinvaidya17 in #200
🔄 CFlow: Switch soft permutation to false by default to speed up training. by @samet-akcay in #201
Return only image, path and label for classification tasks in Mvtec and Btech datasets. by @samet-akcay in #196
🗑 Remove freia as dependency and include it in anomalib/models/components by @samet-akcay in #174
Visualizer show classification and segmentation by @alexriedel1 in #178
↗️ Bump up pytorch-lightning version to 1.6.0 or higher by @samet-akcay in #193
🛠 Refactor DFKDE model by @ashwinvaidya17 in #207
🛠 Minor fixes: Update callbacks to AnomalyModule by @ashwinvaidya17 in #208
🛠 Minor update: Update pre-commit docs by @ashwinvaidya17 in #206
✨ Directory streaming by @ashwinvaidya17 in #210
✏️ Updated documentation for development on Docker by @LukasBommes in #217
🏷 Fix Mac M1 dependency conflicts by @dreaquil in #158
🐞 Set tiling off in pathcore to correctly reproduce the stats. by @samet-akcay in #222
🐞fix support for non-square images by @ashwinvaidya17 in #204
Allow specifying feature layer and pool factor in DFM by @nahuja-intel in #215
📝 Add GANomaly metrics to readme by @ashwinvaidya17 in #224
↗️ Bump the version to 0.2.6 by @samet-akcay in #223
📝 🛠 Fix inconsistent benchmarking throughput/time by @ashwinvaidya17 in #221
assign test split for folder dataset by @alexriedel1 in #220
🛠 Refactor model implementations by @djdameln in #225

New Contributors

@LukasBommes made their first contribution in #172
@dreaquil made their first contribution in #158
@nahuja-intel made their first contribution in #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 #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: 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 #45
fix heatmap color scheme by @djdameln in #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 #39
Fix docs pipeline 📄 by @ashwinvaidya17 in #41
Feature/dick/anomaly score normalization by @djdameln in #35
Shuffle train dataloader by @samet-akcay in #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

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CHANGELOG.md

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[v1.0.1] - 2024-03-27

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[v1.0.0] - 2024-02-29

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[v0.7.0] - 2023-08-28

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[v0.6.0] - 2023-06-15

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[v0.5.1] - 2023-05-24

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[v0.5.0] - 2023-05-09

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[v0.4.0] - 2023-03-01

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[v0.3.7] - 2022-10-28

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[v.0.3.6] - 2022-09-02

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[v.0.3.5] - 2022-08-02

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[v.0.3.4] - 2022-08-01

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[v.0.3.3] - 2022-07-05

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[v.0.3.2] - 2022-06-09

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[v.0.3.1] - 2022-05-17

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[v.0.3.0] - 2022-04-25

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[v.0.2.6] - 2022-04-12

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[v.0.2.5] - 2022-03-25

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[v.0.2.4] - 2021-12-22

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[v.0.2.3] - 2021-12-23

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

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