What's Changed

This release torch import error in cli

• release: ✨ sahi version to 0.11.35 in pyproject.toml (#1252) by @onuralpszr in #1252

Full Changelog: 0.11.35...0.11.36

What's Changed

• Fix currently failing CI by adding a hatch build target by @gboeer in #1245
• refactor: ♻️ improve readability and type hints across codebase by @onuralpszr in #1249
• Bump actions/setup-python from 5 to 6 by @dependabot[bot] in #1244
• refactor: ♻️ update CI workflow for multi-OS support and improve job naming by @onuralpszr in #1250
• Fix empty bbox because of empty shapely_annotation.multipolygon by @vinnik-dmitry07 in #1140
• Significantly improve postprocessing speed (NMS, NMM, GREEDYNMM) by using STRtree from shapely by @nikvo1 in #1248
• fix: 🐞 add optional dependencies and improve package management in models and late import for torch to fix ci by @onuralpszr in #1251

New Contributors

• @vinnik-dmitry07 made their first contribution in #1140
• @nikvo1 made their first contribution in #1248

Full Changelog: 0.11.34...0.11.35

What's Changed

• docs: add mkdocs material badge for support by @onuralpszr in #1236
• Fix: Models always loaded on "cuda:0" when working inside subprocesses on multi-GPU setups by @malopez00 in #1230
• refactor: Update category remapping logic to work with immutable categories by @gboeer in #1234
• feat: add support for torchvision Mask R-CNN instance segmentation model by @curtiskennedy in #1238
• refactor: make exif rotation on image read by default and use PIL built-in ImageOps instead by @fcakyon & @onuralpszr in #1239
• build: Bump version from 0.11.33 to 0.11.34 by @fcakyon in #1241

New Contributors

• @malopez00 made their first contribution in #1230
• @curtiskennedy made their first contribution in #1238

Full Changelog: 0.11.33...0.11.34

What's Changed

• docs: Simplify and improve context7 config by @fcakyon in #1218
• build: Eliminate unnecessary CI workflow triggers by @fcakyon in #1219
• fix: Fix incorrect context7 config structure by @fcakyon in #1220
• refactor: 🧹 improve test and utility code organization by @onuralpszr in #1223
• 👷 Bump actions/checkout from 4 to 5 by @dependabot[bot] in #1229
• fix: 🐛 Update version to 0.11.33 to fix sahi installation in dev by @onuralpszr in #1233

Full Changelog: 0.11.32...0.11.33

What's Changed

• docs: 📝 Introduce mkdocs-material to sahi project to have documentation page by @onuralpszr in #1210
• 👷 Bump astral-sh/setup-uv from 5 to 6 by @dependabot[bot] in #1211
• fix: 🐞 update deployment branch from 'develop' to 'main' in publish_docs workflow by @onuralpszr in #1212
• docs: 📝 Introduce mkdocs-material to sahi project to have documentation page by @onuralpszr in #1213
• Add DeepWiki documentation badge in README.md by @RizwanMunawar in #1215
• refactor: 🛠 remove redundant logging imports and centralize logger configuration by @onuralpszr in #1214
• update version to 0.11.32 by @fcakyon in #1216

New Contributors

• @onuralpszr made their first contribution in #1210
• @dependabot[bot] made their first contribution in #1211
• @RizwanMunawar made their first contribution in #1215

Full Changelog: 0.11.31...0.11.32

What's Changed

• Make Category immutable and add tests by @gboeer in #1206
• Update docstring for greedy_nmm by @kikefdezl in #1205
• update version by @fcakyon in #1208

New Contributors

• @kikefdezl made their first contribution in #1205

Full Changelog: 0.11.30...0.11.31

SAHI v0.11.30 Release Notes

We're excited to announce SAHI v0.11.30 with improved performance tracking, enhanced testing
infrastructure, and better developer experience!

📈 Milestones

• Academic papers citing SAHI reached 400! (#1168)

🚀 Key Updates

Performance & Monitoring

• Fixed postprocess duration tracking in get_sliced_prediction - now properly separates slice,
  prediction, and postprocess timings for accurate performance monitoring
  (#1201) - Thanks @Toprak2!

Framework Updates

• Refactored Ultralytics support with ONNX model support and better compatibility
  (#1184)
• Updated TorchVision support to latest API (#1182)
• Improved Detectron2 support with better config handling to prevent KeyError issues
  (#1116) - Thanks @Arnesh1411!
• Added Roboflow framework support for RF-DETR models from the Roboflow Universe
  (#1161) - Thanks @nok!
• Removed deepsparse integration as the framework is no longer maintained
  (#1164)

Testing Infrastructure

• Migrated test suite to pytest (#1187)
  • Tests now run faster with better parallel execution
  • Extended Python version coverage (3.8, 3.9, 3.10, 3.11, 3.12)
  • Updated to more recent PyTorch versions for better compatibility testing
  • Improved test organization and maintainability
• Refactored MMDetection tests for better reliability (#1185)

Developer Experience

• Added Context7 MCP integration for AI-assisted development
  (#1198)
  • SAHI's documentation is now indexed in Context7 MCP
  • Provides AI coding assistants with up-to-date, version-specific code examples
  • Includes llms.txt file for AI-readable documentation
  • Check out the Context7 MCP installation
    guide to integrate SAHI docs with your AI
    workflow

🛠️ Improvements

Code Quality & Safety

• Immutable bounding boxes for thread-safe operations (#1194,
  #1191) - Thanks @gboeer!
• Enhanced type hints and docstrings throughout the codebase
  (#1195) - Thanks @gboeer!
• Overloaded operators for prediction scores enabling intuitive score comparisons
  (#1190) - Thanks @gboeer!
• PyTorch is now a soft dependency improving flexibility
  (#1162) - Thanks @ducviet00!

Infrastructure & Stability

• Improved dependency management and documentation (#1183)
• Enhanced pyproject.toml configuration for better package management
  (#1181)
• Optimized CI/CD workflows for MMDetection tests (#1186)

🐛 Bug Fixes

• Fixed CUDA device selection to support devices other than cuda:0
  (#1158) - Thanks @0xf21!
• Corrected parameter naming from 'confidence' to 'threshold' for consistency
  (#1180) - Thanks @nok!
• Fixed regex string formatting in device selection function
  (#1165)
• Resolved torch import errors when PyTorch is not installed
  (#1172) - Thanks @ducviet00!
• Fixed model instantiation issues with AutoDetectionModel.from_pretrained
  (#1158)

📦 Dependencies

• Updated OpenCV packages from 4.10.0.84 to 4.11.0.86 (#1171) -
  Thanks @ducviet00-h2!
• Removed unmaintained matplotlib-stubs dependency (#1169)
• Cleaned up unused configuration files (#1199)

📚 Documentation

• Added context7.json for better AI tool integration (#1200)
• Updated README with new contributors (#1175,
  #1179)
• Added Roboflow+SAHI Colab tutorial link (#1177)

Acknowledgments

Special thanks to all contributors who made this release possible: @nok, @gboeer, @Toprak2, @Arnesh1411,
@0xf21, @ducviet00, @ducviet00-h2, @p-constant, and @fcakyon!

Full Changelog: 0.11.24...0.11.30

What's Changed

• Make bounding box immutable by @gboeer in #1194
• Improve type hints and docstrings by @gboeer in #1195
• update version by @fcakyon in #1196

Full Changelog: 0.11.28...0.11.29

What's Changed

• Add overloaded operators for prediction score by @gboeer in #1190
• Improve detectron2 support by @Arnesh1411 in #1116
• Use immutable arguments for bounding boxes by @gboeer in #1191
• update version by @fcakyon in #1192

New Contributors

• @Arnesh1411 made their first contribution in #1116

Full Changelog: 0.11.27...0.11.28

What's Changed

• fix: Update inference method to use 'threshold' instead of 'confidence' by @nok in #1180
• Update README.md by @nok in #1179
• improve pyproject.toml by @fcakyon in #1181
• Refactor dependency management and some docs by @fcakyon in #1183
• update: refactor ultralytics support by @fcakyon in #1184
• Refactor mmdet tests by @fcakyon in #1185
• update torchvision support to latest api by @fcakyon in #1182
• optimize mmdet workflow trigger condition by @fcakyon in #1186
• Migrate tests to pytest by @fcakyon in #1187
• update version by @fcakyon in #1188

Full Changelog: 0.11.26...0.11.27