v2.1.0

Release Notes

v2.1.0

Added

• Add MVTec LOCO dataset by @samet-akcay in #2607
• 🚀 Add VAD dataset by @abc-125 in #2603
• 🚀 Add Real-IAD dataset by @samet-akcay in #2545
• 🚀 Add MVTecAD2 dataset by @samet-akcay in #2562
• 🚀 Add FUVAS Video Anomaly Detection Model by @samet-akcay in #2654
• 📚 Add feature request template by @samet-akcay in #2659
• Enable tiled ensembe in v2 by @blaz-r in #2660
• Add log for Tiled Ensemble PR by @rajeshgangireddy in #2683
• Adding Zizmor and minor refactor by @AlexanderBarabanov in #2685
• Add issue-management workflow by @samet-akcay in #2746
• Tabular datamodule (Custom dataset from DataFrame, CSV, or Parquet) by @manuelkonrad in #2713
• feat: Implement type-safe deprecation decorator with version support by @samet-akcay in #2771
• feat(ci): add conventional commit enforcement and automation by @samet-akcay in #2773
• Enable Visualization for NumPy Input/Output by @samet-akcay in #2764
• 🚀 feat(data): add MPDD dataset by @samet-akcay in #2816
• docs(utils): update benchmarking docs by @alfieroddan in #2814
• 🚀 feat(build): migrate to UV dependency management by @samet-akcay in #2796
• 🚀 feat(model): Add Dinomaly Model by @rajeshgangireddy in #2835

Changed

• Intermediate environment variable usage in workflows by @AlexanderBarabanov in #2617
• 🐞 Replace the mandatory PatchCore center crop with an optional one, add the same to CFA by @abc-125 in #2623
• Update MVTecLOCO by @ashwinvaidya17 in #2651
• Semgrep and Bandit config refactor by @AlexanderBarabanov in #2646
• docs: update installation guide with correct repository URL by @gggg8657 in #2662
• update references to old github org by @djdameln in #2682
• Return metrics from train by @ashwinvaidya17 in #2702
• Make OpenVINO fully optional in Anomalib by @samet-akcay in #2719
• Docs: update custom pre-processing class to import from correct origin by @lucianchauvin in #2731
• Addressing Zizmor and CodeQL findings by @AlexanderBarabanov in #2742
• Security composite actions minor changes by @AlexanderBarabanov in #2748
• 📚 Update Data Docs by @samet-akcay in #2755
• Update generate_output_filename function by @samet-akcay in #2760
• Bump softprops/action-gh-release from 2.2.2 to 2.3.2 by @dependabot[bot] in #2770
• 📚 Docs: Refactor EfficientAdModel example and update output shapes by @samet-akcay in #2766
• refactor(visualizer): remove unnecessary warning log in visualize_image_item by @samet-akcay in #2778
• 🔧 chore(ci): migrate from individual commit message validation to PR title validation by @samet-akcay in #2791
• fix(export): enhance model export with flexible kwargs support for ONNX and OpenVINO by @samet-akcay in #2780
• 🔧 chore: pre-commit autoupdate by @samet-akcay in #2790
• 🔧 chore: fix the security issues highlighted by semgrep scans by @samet-akcay in #2792
• 🔧 chore(ci): overhaul issue management process with new templates and enhanced workflow by @samet-akcay in #2799
• 🔄 refactor(notebooks): restructure directory layout by @samet-akcay in #2804
• 🔧 chore: reorder license, docstring, imports, then code by @eugene123tw in #2822
• 🔧 chore(ci): enable Renovate and OpenSSF Scorecard reports by @AlexanderBarabanov in #2845
• 🔄 refactor(model): memory usage optimisation by @alfieroddan in #2813
• ♻️ refactor(cli): show import error in CLI by @ashwinvaidya17 in #2856
• 🚀 feat(model): add UniNet by @ashwinvaidya17 in #2797
• chore(deps): update dependency zizmorcore/zizmor to v1.11.0 by @oep-renovate[bot] in #2850
• chore(deps): pin dependencies by @oep-renovate[bot] in #2855

Fixed

• 🐞 Fix model-specific transforms for DRÆM and DSR by @abc-125 in #2624
• 🐞 fix: remove custom state dict handling in WinClip to fix inference tensor issues by @samet-akcay in #2630
• 🐞 Fix MVTecLOCO args by @samet-akcay in #2650
• Fix SuperSimpleNet pretrained weights. by @blaz-r in #2712
• 🔒 Security Fix: Mitigate Remote Code Execution Risk in torch.load by @samet-akcay in #2729
• 🔨 Fix Arbitrary imports in get_datamodule() by @rajeshgangireddy in #2736
• Fix the wrong variable to be printed on the warning message by @samet-akcay in #2754
• Fix AUPR curve axis labels to follow standard convention by @samet-akcay in #2772
• fix(data): enhance ToNumpyMixin for improved tensor conversion by @samet-akcay in #2775
• fix(visualization): modify the image font loading logic by @samet-akcay in #2783
• 🐞fix(data): Fixed bug where MVTecLOCO GT Masks were not loaded correctly by @AveraGE0 in #2805
• 🐞 fix(docs): replace problematic emojis and improve CI workflow by @samet-akcay in #2809
• fix(model): remove in-place ops in CombinedDensityEstimator.predict f… by @grannycola in #2808
• fix(data): MVTecAD2 CLI bug fix enum serialisation by @alfieroddan in #2817
• 🔒 fix: semgrep security issues by replacing inefficient torch.Tensor() constructors by @samet-akcay in #2824
• fix(imports): update OpenVINO import paths in inferencer and post-pro… by @samet-akcay in #2829
• 🐞 fix(model): EfficientAD NotImplementedError: ('{} cannot be pickled', '_SingleProcessDataLoaderIter') by @alexriedel1 in #2837
• 🐞 fix(data): update_augmentations when no model is attached by @samet-akcay in #2720
• fix(deploy): Fix discrepancy between lightning and standalone inferencers by @ashwinvaidya17 in #2843
• fix(docs): revert correct symlink by @AlexanderBarabanov in #2854

New Contributors

• @AlexanderBarabanov made their first contribution in #2617
• @gggg8657 made their first contribution in #2662
• @rajeshgangireddy made their first contribution in #2683
• @lucianchauvin made their first contribution in #2731
• @manuelkonrad made their first contribution in #2713
• @AveraGE0 made their first contribution in #2805
• @grannycola made their first contribution in #2808
• @alfieroddan made their first contribution in #2814
• @oep-renovate[bot] made their first contribution in #2850

Full Changelog: v2.0.0...v2.1.0

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