Allow int8 quantization for export_tfjs

[davidstrahm]

--int8 param currently has no effect on export_tfjs. With this change, python export.py --weights ../path/to/best.pt --include tfjs --int8 will add the --quantize_uint8 param to the tensorflowjs_converter script, greatly reducing model size for web usage.

Signed-off-by: David Strahm david.strahm@lambda-it.ch

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Enhancements in TensorFlow.js export and Docker security.

📊 Key Changes

• Added optional INT8 quantization support for TensorFlow.js exports.
• Reorganized Dockerfile for better readability and efficiency.
• Included security update by explicitly installing OpenSSL.

🎯 Purpose & Impact

• 🚀 Enhanced Export Options: Users can now export models to TensorFlow.js with optional INT8 quantization, potentially reducing model size and improving execution speed on supported platforms.
• 📦 Docker Optimization: Streamlining Dockerfile commands for package installations improves build times and readability.
• 🔐 Increased Security: Explicit installation of OpenSSL responds to known vulnerabilities, thereby securing the Docker environment.

[github-actions]

👋 Hello @davidstrahm, thank you for submitting a YOLOv5 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

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[glenn-jocher]

@davidstrahm PR is merged. Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐