Update opencv build and create artifact workflow#18
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- Add new GitHub workflow for automated OpenCV CUDA builds - Create updated build script based on documentation improvements - Update entrypoint script with fallback mechanism - Add comprehensive documentation - Maintain backward compatibility with existing systems - Generate artifacts for easy distribution - Include verification and error handling Based on super-resolution work and updated build practices from comfystream-docs technical documentation.
- Replace inline workflow scripting with Dockerfile approach - Use livepeer/comfyui-base as foundation image for consistency - Split build process into modular, maintainable scripts: - opencv-cuda-deps.sh: dependency installation - opencv-build.sh: core compilation logic - opencv-package.sh: artifact creation with install script - Improve maintainability by separating concerns - Add comprehensive artifact packaging with checksums - Update documentation to reflect new architecture - Optimize Docker layers for faster rebuilds
The GitHub App doesn't have workflow permissions, so temporarily moving the workflow file. It can be added manually via GitHub UI.
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Add a new Docker-based GitHub workflow to automate OpenCV CUDA builds and artifact generation.
This PR refactors the OpenCV CUDA build process into a more maintainable Docker-based GitHub workflow. This automates artifact generation and incorporates updated build practices from
comfystream-docs, to automate OpenCV build maintenance with cuda version changes