v2.0.0

Release Notes

v2.0.0

Added

• 🚀 Add Dataclasses and PostProcessor by @djdameln in #2098
• 🚀 Add dataclass validators by @samet-akcay in #2307
• 🚀 Add Customisable Image Visualizer by @samet-akcay in #2334
• 🚀 Metrics redesign by @djdameln in #2326
• 🚀 Add PreProcessor to AnomalyModule by @samet-akcay in #2358
• 🚀 Add Multi-GPU Training Support by @ashwinvaidya17 in #2435
• 🔨 Refactor: Add missing auxiliary attributes to AnomalibModule by @samet-akcay in #2460
• 🔨 Rename AnomalyModule to AnomalibModule by @samet-akcay in #2423
• 🚀 Add AUPIMO metric by jpcbertoldo in #1726 and refactored by ashwinvaidya17 in #2329
• 📚 Add AUPIMO tutorials notebooks in #2330 and #2336
• 🚀 Add XPU accelerator by @ashwinvaidya17 in #2530
• Add beta release support by @samet-akcay in #2493
• Add merge group to main branch by @ashwinvaidya17 in #2520
• Add non-strict mode to AnomalibMetric by @djdameln in #2508
• Add DCO merge group workflow configuration by @ashwinvaidya17 in #2528
• Add configuration options to PostProcessor by @djdameln in #2547
• Add MVTec backward compatibility by @samet-akcay in #2602
• Add unit tests for MinMax metric by @djdameln in #2516

Removed

• 🗑️ Remove RKDE by @ashwinvaidya17 in #2455
• 🗑️ Remove rich methods by @ashwinvaidya17 in #2283
• 🔨 Replace imgaug with Native PyTorch Transforms by @samet-akcay in #2436
• 🗑️ Remove task type by @djdameln in #2450

Changed

• Refactor Lightning's trainer.model to trainer.lightning_module by @samet-akcay in #2255
• Update open-clip-torch requirement from <2.26.1,>=2.23.0 to >=2.23.0,<2.26.2 by @dependabot in #2189
• Update sphinx requirement by @dependabot in #2235
• Update ruff configuration by @samet-akcay in #2269
• Revert "Update open-clip-torch requirement from <2.26.1,>=2.23.0 to >=2.23.0,<2.26.2" by @samet-akcay in #2270
• 🔨 Lint: U* 🔨 Refactor BaseThreshold to Threshold by @samet-akcay in #2278
• 🔨 Enable Ruff Rules: PLW1514 and PLR6201 by @samet-akcay in #2284
• 🔨 Update nncf export by @ashwinvaidya17 in #2286
• 🔨 Linting: Enable PLR6301, # could be a function, class method or static method by @samet-akcay in #2288
• 🔨 Restructure unit tests and fix ruff issues by @samet-akcay in https://github.com/openvinotoolkit/anomalib/pull/2306pdate Ruff Config - Add Missing Copyright Headers by @samet-akcay in #2281
• 🔨 optimization/quantization added into 500 series by @paularamo in #2197
• 🚀 Made OpenVINOInferencer and TorchInferencer predict accept all the following types: str, Path, np.ndarray, PIL.Image.Image, torch.Tensor by @adrianboguszewski in #2565

Fixed

• 🐞Replace package_available with module_available by @harimkang in #2407
• Fix multi-GPU support for post-processor by @djdameln in #2499
• fix minmax by @alexriedel1 in #2512
• 🛠️ Fix pre-commit issues by @ashwinvaidya17 in #2517
• Minor fixes by @ashwinvaidya17 in #2522
• 🐞Fix ollama by @ashwinvaidya17 in #2519
• fix synthetic anomaly datasets by @alexriedel1 in #2497
• Fix compatibility issue with cPython<=3.11.3 by @Kogia-sima in #2416
• Fix onnx input parameter name by @terrarier2111 in #2525
• Fix latest torch and torchvision compatibility by @djdameln in #2548
• Fix post-processing visualization issues by @djdameln in #2534
• Keep weights in state dict when exporting by @ashwinvaidya17 in #2582

New Contributors

• @Kogia-sima made their first contribution in #2416
• @terrarier2111 made their first contribution in #2525

v1.1.3

What's Changed

• [Hotfix] Model setup hotfix by @djdameln in #2575

Full Changelog: v1.1.0...v1.1.3

v1.1.2

What's Changed

• [Hotfix] check model attribute in setup method by @djdameln in #2574

Full Changelog: v1.1.1...v1.1.2

v2.0.0b3

v2.0.0

Added

• 🚀 Add XPU accelerator and strategy by @ashwinvaidya17 in #2530

• 🚀 Add Dataclasses and PostProcessor by @djdameln in #2098

• 🚀 Add dataclass validators by @samet-akcay in #2307

• 🚀 Add Customisable Image Visualizer by @samet-akcay in #2334

• 🚀 Metrics redesign by @djdameln in #2326

• 🚀 Add PreProcessor to AnomalyModule by @samet-akcay in #2358

• 🚀 Add Multi-GPU Training Support by @ashwinvaidya17 in #2435

• 🔨 Refactor: Add missing auxiliary attributes to AnomalibModule by @samet-akcay in #2460

• 🔨 Rename AnomalyModule to AnomalibModule by @samet-akcay in #2423

• 🚀 Add AUPIMO metric by jpcbertoldo in #1726 and refactored by ashwinvaidya17 in #2329

• 📚 Add AUPIMO tutorials notebooks in #2330 and #2336

Removed

• 🗑️ Remove RKDE by @ashwinvaidya17 in #2455
• 🗑️ Remove rich methods by @ashwinvaidya17 in #2283
• 🔨 Replace imgaug with Native PyTorch Transforms by @samet-akcay in #2436
• 🗑️ Remove task type by @djdameln in #2450

Changed

• Refactor Lightning's trainer.model to trainer.lightning_module by @samet-akcay in #2255
• Update open-clip-torch requirement from <2.26.1,>=2.23.0 to >=2.23.0,<2.26.2 by @dependabot in #2189
• Update sphinx requirement by @dependabot in #2235
• Update ruff configuration by @samet-akcay in #2269
• Revert "Update open-clip-torch requirement from <2.26.1,>=2.23.0 to >=2.23.0,<2.26.2" by @samet-akcay in #2270
• 🔨 Lint: U* 🔨 Refactor BaseThreshold to Threshold by @samet-akcay in #2278
• 🔨 Enable Ruff Rules: PLW1514 and PLR6201 by @samet-akcay in #2284
• 🔨 Update nncf export by @ashwinvaidya17 in #2286
• 🔨 Linting: Enable PLR6301, # could be a function, class method or static method by @samet-akcay in #2288
• 🔨 Restructure unit tests and fix ruff issues by @samet-akcay in https://github.com/openvinotoolkit/anomalib/pull/2306pdate Ruff Config - Add Missing Copyright Headers by @samet-akcay in #2281
• 🔨 optimization/quantization added into 500 series by @paularamo in #2197

Fixed

• 🐞Replace package_available with module_available by @harimkang in #2407

v2.0.0b2

v2.0.0

Added

• 🚀 Add Dataclasses and PostProcessor by @djdameln in #2098

• 🚀 Add dataclass validators by @samet-akcay in #2307

• 🚀 Add Customisable Image Visualizer by @samet-akcay in #2334

• 🚀 Metrics redesign by @djdameln in #2326

• 🚀 Add PreProcessor to AnomalyModule by @samet-akcay in #2358

• 🚀 Add Multi-GPU Training Support by @ashwinvaidya17 in #2435

• 🔨 Refactor: Add missing auxiliary attributes to AnomalibModule by @samet-akcay in #2460

• 🔨 Rename AnomalyModule to AnomalibModule by @samet-akcay in #2423

• 🚀 Add AUPIMO metric by jpcbertoldo in #1726 and refactored by ashwinvaidya17 in #2329

• 📚 Add AUPIMO tutorials notebooks in #2330 and #2336

Removed

• 🗑️ Remove RKDE by @ashwinvaidya17 in #2455
• 🗑️ Remove rich methods by @ashwinvaidya17 in #2283
• 🔨 Replace imgaug with Native PyTorch Transforms by @samet-akcay in #2436
• 🗑️ Remove task type by @djdameln in #2450

Changed

• Refactor Lightning's trainer.model to trainer.lightning_module by @samet-akcay in #2255
• Update open-clip-torch requirement from <2.26.1,>=2.23.0 to >=2.23.0,<2.26.2 by @dependabot in #2189
• Update sphinx requirement by @dependabot in #2235
• Update ruff configuration by @samet-akcay in #2269
• Revert "Update open-clip-torch requirement from <2.26.1,>=2.23.0 to >=2.23.0,<2.26.2" by @samet-akcay in #2270
• 🔨 Lint: U* 🔨 Refactor BaseThreshold to Threshold by @samet-akcay in #2278
• 🔨 Enable Ruff Rules: PLW1514 and PLR6201 by @samet-akcay in #2284
• 🔨 Update nncf export by @ashwinvaidya17 in #2286
• 🔨 Linting: Enable PLR6301, # could be a function, class method or static method by @samet-akcay in #2288
• 🔨 Restructure unit tests and fix ruff issues by @samet-akcay in https://github.com/openvinotoolkit/anomalib/pull/2306pdate Ruff Config - Add Missing Copyright Headers by @samet-akcay in #2281
• 🔨 optimization/quantization added into 500 series by @paularamo in #2197

Fixed

• 🐞Replace package_available with module_available by @harimkang in #2407

v1.2.0

[v1.2.0]

Added

• 🚀 Add ensembling methods for tiling to Anomalib by @blaz-r in #1226
• 📚 optimization/quantization added into 500 series by @paularamo in #2197
• 🚀 Add PIMO by @ashwinvaidya17 in #2329
• 📚 Add PIMO tutorial advanced i (fixed) by @jpcbertoldo in #2336
• 🚀 Add VLM based Anomaly Model by @ashwinvaidya17 in #2344
• 📚 Add PIMO tutorials/02 advanced ii by @jpcbertoldo in #2347
• 📚 Add PIMO tutorials/03 advanced iii by @jpcbertoldo in #2348
• 📚 Add PIMO tutorials/04 advanced iv by @jpcbertoldo in #2352
• 🚀 Add datumaro annotation dataloader by @ashwinvaidya17 in #2377
• 📚 Add training from a checkpoint example by @samet-akcay in #2389

Changed

• 🔨 Refactor folder3d to avoid complex-structure (C901) issue by @samet-akcay in #2185
• Update open-clip-torch requirement from <2.26.1,>=2.23.0 to >=2.23.0,<2.26.2 by @dependabot in #2189
• Update sphinx requirement by @dependabot in #2235
• Refactor Lightning's trainer.model to trainer.lightning_module by @samet-akcay in #2255
• Revert "Update open-clip-torch requirement from <2.26.1,>=2.23.0 to >=2.23.0,<2.26.2" by @samet-akcay in #2270
• Update ruff configuration by @samet-akcay in #2269
• Update timm requirement by @dependabot in #2274
• Refactor BaseThreshold to Threshold by @samet-akcay in #2278
• 🔨 Lint: Update Ruff Config - Add Missing Copyright Headers by @samet-akcay in #2281
• Reduce rich methods by @ashwinvaidya17 in #2283
• Enable Ruff Rules: PLW1514 and PLR6201 by @samet-akcay in #2284
• Update nncf export by @ashwinvaidya17 in #2286
• Linting: Enable PLR6301, # could be a function, class method or static method by @samet-akcay in #2288
• 🐞 Update setuptools requirement for PEP 660 support by @samet-akcay in #2320
• 🔨 Update the issue templates by @samet-akcay in #2363
• 🐞 Defer OpenVINO import to avoid unnecessary warnings by @samet-akcay in #2385
• 🔨 Make single GPU benchmarking 5x more efficient by @mzweilin in #2390
• 🐞 Export the flattened config in benchmark CSV. by @mzweilin in #2391
• 🔨 Export experiment duration in seconds in CSV. by @mzweilin in #2392
• 🐞 Fix installation package issues by @samet-akcay in #2395

Deprecated

• 🔨 Deprecate try import and replace it with Lightning's package_available by @samet-akcay in #2373

Fixed

• Add check before loading metrics data from checkpoint by @blaz-r in #2323
• Fix transforms for draem, dsr and rkde by @blaz-r in #2324
• Makes batch size dynamic by @Marcus1506 in #2339

New Contributors

• @Marcus1506 made their first contribution in #2339

Full Changelog: v1.1.1...v1.2.0

v1.1.1

v1.1.1

Added

• 📚Ppipelines how-to guide by @ashwinvaidya17 in #2109

Changed

• Set permissions for github workflows by @djdameln in #2127
• Update timm requirement from <=1.0.3,>=0.5.4 to >=0.5.4,<=1.0.7 by @dependabot in #2151
• 🚀 Use gh actions runners for pre-commit checks by @ashwinvaidya17 in #2160
• Bump AlexanderDokuchaev/md-dead-link-check from 0.8 to 0.9 by @dependabot in #2162
• Added accuracy control quantization by @adrianboguszewski in #2070

Deprecated

• 🔨Remove device postfix by @ashwinvaidya17 in #2233

Fixed

• Fix: get MLFLOW_TRACKING_UTI from env variables as default by @CarlosNacher in #2107
• Fix normalization by @alexriedel1 in #2130
• Fix image-level heatmap normalization by @djdameln in #2131
• Fix: efficient ad model_size str fixes by @Gornoka in #2159
• Fix the CI by @samet-akcay in #2178
• Fix BTech Dataset by @samet-akcay in #2180

New Contributors

• @CarlosNacher made their first contribution in #2107

Full Changelog: v1.1.0...v1.1.1

v1.1.0

[v1.1.0]

Added

• 🚀 Add support for MLFlow logger by @DoMaLi94 in #1847
• 📚 Add Transform behaviour+documentation by @djdameln in #1953
• 📚 Add documentation on how to use the tiler by @blaz-r in #1960
• 💬 Add Discord badge to README.md by @samet-akcay in #2012
• 🚀 Add Auto-Encoder based FRE by @nahuja-intel in #2025
• 🚀 Add compression and quantization for OpenVINO export by @adrianboguszewski in #2052
• 🚀 Add Anomalib Pipelines by @ashwinvaidya17 in #2060
• 🚀 Add from_config API: Create a path between API & configuration file (CLI) by @harimkang in #2065
• 🚀 Add data filter in tar extract by @ashwinvaidya17 in #2084

Changed

• 🔨 Move all export functionalities to AnomalyModule as base methods by @thinhngo-x in (#1803)
• ⬆️ Update torch and lightning package versions by @samet-akcay in #1949
• 🔨 Use default model-specific eval transform when only train_transform specified by @djdameln(https://github.com/djdameln) in (#1953)
• 🔨 Replace @abstractproperty since it is deprecated by @samet-akcay in #1964
• 🛠️ Update OptimalF1 Score by @ashwinvaidya17 in #1972
• 🔨 Rename OptimalF1 to F1Max for consistency with the literature, by @samet-akcay in #1980
• 🔨 WinCLIP: set device in text embedding collection and apply forward pass with no grad, by @djdameln in #1984
• 🔨 WinCLIP improvements by @djdameln in #1985
• 🚀 Update OpenVINO and ONNX export to support fixed input shape by @adrianboguszewski in #2006
• 🔨 Update lightning inference by @djdameln in #2018
• ⬆️ Upgrade wandb by @ashwinvaidya17 in #2040
• 🔨 Refactor Export by @ashwinvaidya17 in #2057
• ⬆️ Update pyproject.toml so liccheck can pick the license by @samet-akcay in #2074
• ⬆️ Update timm requirement from <=0.9.16,>=0.5.4 to >=0.5.4,<=1.0.3 by @dependabot in #2075
• 🔨 Update model README.md files by @samet-akcay in #2076

Deprecated

• 🗑️ Remove labeler and update codeowners by @samet-akcay in #1946
• 🗑️ Remove requirements directory by @samet-akcay in #1945
• 🗑️ Remove Docker related files by @ashwinvaidya17 in #2039
• 🗑️ Remove references to nightly tests by @ashwinvaidya17 in #2048
• 🗑️ Remove unnecessary jsonargparse dependencies by @davnn in #2046

Fixed

• 🐞 Fix dimensionality mismatch issue caused by the new kornia version by @samet-akcay in #1944
• 🐞 Fix DFM PyTorch inference by @adrianboguszewski in #1952
• 🐞 Fix anomaly map shape to also work with tiling by @blaz-r in #1959
• 🐞 Fix EfficientAD's pretrained weigths load path by @seyeon923 in #1966
• 🐞 fixbug: use BinaryPrecisionRecallCurve instead of PrecisionRecallCurve by @rglkt in #1956
• 🚨 Hotfix: compute precision recall on raw scores by @ashwinvaidya17 in #1973
• 🐞 Minor fix to remove input_size from Padim config by @ashwinvaidya17 in #1988
• 🐞 Fix Reverse Distillation export to ONNX by @adrianboguszewski in #1990
• 🐞 Fix DSR training when no GPU by @adrianboguszewski in #2004
• 🐞 Fix efficient ad by @abc-125 in #2015
• 🐞 Fix keys in data configs to fit AnomalibDataModule parameters by @abc-125 in #2032
• 🐞 Fix Export docstring in CLI by @ashwinvaidya17 in #2058
• 🐞 Fix UFlow links by @ashwinvaidya17 in #2059

New Contributors

• @seyeon923 made their first contribution in #1966
• @rglkt made their first contribution in #1956
• @DoMaLi94 made their first contribution in #1847

Full Changelog: v1.0.1...v1.1.0

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...