ultralytics 8.3.118

v8.3.118 - `ultralytics 8.3.118` Use new TorchScript MobileCLIP model (#20354)

on Python PyPI

🌟 Summary

This release introduces support for the new TorchScript MobileCLIP model, enhances grayscale image handling, and improves testing and documentation for broader device and package compatibility. 🚀🖼️📱

📊 Key Changes

• TorchScript MobileCLIP Integration 📱
  • Added support for Apple's MobileCLIP model in TorchScript format, enabling efficient and portable text encoding for vision-language tasks.
• Grayscale Image Training Support 🖤
  • Datasets and augmentations now natively support grayscale images, making it easier to train and infer with both grayscale and color data.
• Expanded Continuous Integration (CI) Coverage 🧪
  • Raspberry Pi and Conda environment tests are now enabled by default, ensuring more robust cross-platform compatibility.
  • Test files are now included in Conda builds for better package quality assurance.
• YOLO11 Model References in Docs & Docker 📦
  • All documentation, code examples, and Dockerfiles now use YOLO11 models as the default, promoting the latest advancements.
• Cleaner CoreML Handling 🧹
  • Removed outdated CoreML and protobuf workarounds, reflecting improved compatibility and a simpler codebase.

🎯 Purpose & Impact

• Faster, Portable Text Features
  • The new TorchScript MobileCLIP model allows for rapid, device-agnostic text encoding, benefiting custom class naming and vision-language applications on a wider range of hardware.
• Broader Dataset Compatibility
  • Native grayscale support reduces manual preprocessing and errors, expanding Ultralytics' usability in medical imaging, document analysis, and more.
• Stronger Reliability Across Devices
  • Enhanced CI ensures YOLO models work smoothly on edge devices like Raspberry Pi and in Conda-managed environments, giving users and developers greater confidence.
• Simpler, Up-to-Date Experience
  • By standardizing on YOLO11 and cleaning up legacy code, users get clearer guidance and a more modern, maintainable toolkit.

This update is recommended for all users, especially those working with custom text prompts, grayscale datasets, or deploying on diverse hardware platforms. 🚀

What's Changed

• Remove special CoreML<>protobuf handling by @glenn-jocher in #20362
• Add tests directory to package for Conda builds by @glenn-jocher in #20365
• Implement 3.12-compatible Raspberry Pi CI by @glenn-jocher in #20361
• Dockerfile export Sony IMX with YOLO11 by @glenn-jocher in #20367
• Add Grayscale image training support by @Laughing-q in #20310
• ultralytics 8.3.118 Use new TorchScript MobileCLIP model by @Y-T-G in #20354

Full Changelog: v8.3.117...v8.3.118