Release Notes

v2.0.0

🚀 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

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