OpenVINO Training Extensions Files

What's Changed

• 🧹Refactor Classification Entity by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4239
• Refactor OTX Models by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4241
• Update dev version and changelog by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4281
• Promote/demote detection models by @Daankrol in https://github.com/open-edge-platform/training_extensions/pull/4278
• 🗑️ Remove unused transforms by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4269
• Promote DinoV2 as "Accuracy" template by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4287
• Bump the pip-others group across 1 directory with 5 updates by @dependabot[bot] in https://github.com/open-edge-platform/training_extensions/pull/4292
• Delete Visual Prompting Task by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4291
• Fix DataInputParams Serialization by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4293
• Refactor Data Entity (SSeg, KP) by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4282
• Hot Fix Classification by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4297
• Enable TV MaskRCNN for Geti by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4296
• Align KP Detection Validation with Model API by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4300
• Update Documentation by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4294
• 🧹 Minor cleanup by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4299
• Promote/Demote Inst Seg Algo by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4301
• Reduce Integration Test Scope by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4303
• Improve PR comment event trigger by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4307
• Update permissions in PR comment trigger workflow by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4309
• Update PR comment trigger by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4312
• Add workflow step to update PR description with run link and status by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4314
• Enhance PR comment trigger to include last commit message and workflow result by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4316
• Refactor PR comment trigger by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4318
• Support linear classifier fine-tuning for classification models by @gyuilLim in https://github.com/open-edge-platform/training_extensions/pull/4298
• 🧹 Refactor detection entity by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4322
• Update integration test commands to include run-category-only flag options by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4325
• Bump rich from 13.9.4 to 14.0.0 by @dependabot[bot] in https://github.com/open-edge-platform/training_extensions/pull/4324
• Fix integration test commands run-category-only flag by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4329
• updated repo with mobilenet_v4 by @GauravSRC in https://github.com/open-edge-platform/training_extensions/pull/4321
• Update documentation and references to Open-Edge Platform by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4331
• 🧹 Refactor Instance Segmentation Entity by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4327
• 🧹 Refactor Anomaly Entities by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4328
• Add a contribution guide by @sovrasov in https://github.com/open-edge-platform/training_extensions/pull/4335
• Bug Fix : Convert labels for multi-label Classification into LongTensor before one_hot encoding by @rajeshgangireddy in https://github.com/open-edge-platform/training_extensions/pull/4336
• Bump OV and NNCF to 2025.1 by @sovrasov in https://github.com/open-edge-platform/training_extensions/pull/4334
• 📝 Improve Geti Integration and Streamline Pre-Merge Tests by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4330
• 🧹 Refactor PR comment trigger workflow to improve repository checkout steps by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4342
• 📝 Enhance PR comment trigger workflow to fetch PR info dynamically before checkout by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4344
• Revert "updated repo with mobilenet_v4" by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4345
• 🧹 Update CI workflow to use Ubuntu 24.04 for Code Quality and Unit Tests by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4350
• 🧹 Remove unnecessary blank line in PR comment trigger workflow by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4351
• 🧹 Update workflows and configuration to use 'uv' for package installation by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4354
• Improve pytest command flags in CI workflow test env by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4352
• Update benchmark datasets for classification and segmentation by @rajeshgangireddy in https://github.com/open-edge-platform/training_extensions/pull/4349
• Update Readme by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4348
• Enhance installation instructions for uv by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4358
• Update dependency by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4357
• Fix missing mAP score reporting for instance segmentation. by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4364
• Bump torch to 2.7 by @sovrasov in https://github.com/open-edge-platform/training_extensions/pull/4361
• Add bechmark datasets for anomaly task. by @djdameln in https://github.com/open-edge-platform/training_extensions/pull/4366
• ✨ Upgrade setup python action in pre-merge check by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4371
• 🗑️ Remove traces of visual prompting by @rajeshgangireddy in https://github.com/open-edge-platform/training_extensions/pull/4370
• Add a reference to MAPI by @sovrasov in https://github.com/open-edge-platform/training_extensions/pull/4373
• Fix degradation in detection/inst-seg by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4372
• Fix OTX Installation by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4285
• ✨ Upgrade Ubuntu version for documentation workflows to 24.04 by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4375
• Fix input_size type check to accept list in OTXDataModule by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4380
• 🗑️ Remove CLI integration tests by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4378
• Fix CodeQL findings in pr_comment_trigger.yaml by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4390
• Enhance benchmark and run scripts with job retry logic and failed job handling by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4381
• Fix in pr_comment_trigger.yaml by @AlexanderBarabanov in https://github.com/open-edge-platform/training_extensions/pull/4393
• Update benchmark datasets for Detection and Instance Segmentation by @Daankrol in https://github.com/open-edge-platform/training_extensions/pull/4365
• Fix anomaly benchmark by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4395
• Disable weight computation in self-attention for TransformerDecoderLayer by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4398
• 🧹 Update CODEOWNERS by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4404
• Disable weight computation in TransformerEncoderLayer by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4399
• 🧹 Refactor base train and test recipe by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4369
• Add model arch name to exported model metadata by @sovrasov in https://github.com/open-edge-platform/training_extensions/pull/4407
• Allow on_*_batch_end callbacks to access outputs from validation and test steps by @itrushkin in https://github.com/open-edge-platform/training_extensions/pull/4384
• Remove image caching during training to reduce complexity and RAM consumption by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4401
• Improve dinov2 accuracy in classification tasks. by @gyuilLim in https://github.com/open-edge-platform/training_extensions/pull/4411
• Refactor benchmark logic by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4400
• Update module docstrings for consistency across various files by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4417
• Use cuda 12.8 by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4409
• ✨ Merge Feature-v3 to develop by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4406
• Ignore torchmetrics in dependabot config by @sovrasov in https://github.com/open-edge-platform/training_extensions/pull/4424
• Bump OV and NNCF to 2025.2 by @sovrasov in https://github.com/open-edge-platform/training_extensions/pull/4423
• Merge develop to release/2.5 by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4432
• Support OVAnomaly in OVEngine by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4436
• Add MaskRCNN v2 Rotated Detection task via Instance Segmentation by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4437
• Benchmark Refactor for 2.5 by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4435
• Update documentation for 2.5 release by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4447
• Provide XPU workarounds (release/2.5) by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4464
• 🐞 Fix 0 image scores in Anomaly OV model by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4469
• Fix regression on release 2.5 by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4468
• Improve EarlyStoppingWithWarmup docs and set check_on_train_epoch_end to False as default by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4473
• Introduce Classification Factory and Simplify Model Imports by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4456
• 🐞 Benchmark fixes for 2.5 by @ashwinvaidya17 in https://github.com/open-edge-platform/training_extensions/pull/4471
• Merge 2.4.6 to 2.5.0 (Fix checkpoint loading update) by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4475
• Update ConfigConverter for Geti2.12 by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4477
• (release/2.5) Remove duplicate explain() method and consolidate XAI functionality into predict() by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4493
• Fix XPU training and optimization from Geti2.5 by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4486
• Fix overriding train parameters by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4496
• Fix adaptive batch size to run on CPU by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4499
• Fix UFLow configuration by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4504
• Fix confidence threshold cache invalidation and filtering logic by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4498
• Fix semantic segmentation annotation handling for ExtractedMask type by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4511
• Fix gaussian noise augmentation and add random gaussian blur by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4508
• Filter invalid annotation by task by @eugene123tw in https://github.com/open-edge-platform/training_extensions/pull/4515
• Workaround for batch size search on xpu devices by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4513
• Fix cache args by @kprokofi in https://github.com/open-edge-platform/training_extensions/pull/4522

Full Changelog: https://github.com/open-edge-platform/training_extensions/compare/2.4.6...2.5.0