move cv2 install to python script and add as optional dependency

[eliteprox]

ComfyStream provides it's own opencv build precompiled for nvidia gpu architectures.

When opencv installs into comfystream (docker only), the script removes any existing versions of opencv and replaces the installation with binaries in the PATH.

comfystream/docker/entrypoint.sh

Lines 161 to 200 in ff11b85

	if [ "$1" = "--opencv-cuda" ]; then
	cd /workspace/comfystream
	conda activate comfystream
	# Check if OpenCV CUDA build already exists
	if [ ! -f "/workspace/comfystream/opencv-cuda-release.tar.gz" ]; then
	# Download and extract OpenCV CUDA build
	DOWNLOAD_NAME="opencv-cuda-release.tar.gz"
	wget -q -O "$DOWNLOAD_NAME" https://github.com/JJassonn69/ComfyUI-Stream-Pack/releases/download/v2.1/opencv-cuda-release.tar.gz
	tar -xzf "$DOWNLOAD_NAME" -C /workspace/comfystream/
	rm "$DOWNLOAD_NAME"
	else
	echo "OpenCV CUDA build already exists, skipping download."
	fi
	# Install required libraries
	# Remove existing cv2 package
	SITE_PACKAGES_DIR="/workspace/miniconda3/envs/comfystream/lib/python3.12/site-packages"
	rm -rf "${SITE_PACKAGES_DIR}/cv2"*
	# Copy new cv2 package
	cp -r /workspace/comfystream/cv2 "${SITE_PACKAGES_DIR}/"
	# Handle library dependencies
	CONDA_ENV_LIB="/workspace/miniconda3/envs/comfystream/lib"
	# Remove existing libstdc++ and copy system one
	rm -f "${CONDA_ENV_LIB}/libstdc++.so"*
	cp /usr/lib/x86_64-linux-gnu/libstdc++.so* "${CONDA_ENV_LIB}/"
	# Copy OpenCV libraries
	cp /workspace/comfystream/opencv/build/lib/libopencv_* /usr/lib/x86_64-linux-gnu/
	# remove the opencv-contrib and cv2 folders
	rm -rf /workspace/comfystream/opencv_contrib
	rm -rf /workspace/comfystream/cv2
	echo "OpenCV CUDA installation completed"
	shift
	fi

This is not flexible enough for other applications that require a valid reference to cv2

• ComfyUI-StreamPack needs this package for super resolution
• PyTrickle would benefit from an opencv build with nvidia support

Ideally we can:

• Modify the script so that it installs cv2 (opencv-cuda) using precompiled binaries defined in pyproject.toml to remove the docker dependency and support the customized opencv install in other applications
• Consider publishing the precompiled wheels to pypip

[linear]

COMFY-222

[eliteprox]

This is actually expected behavior. cv2 can be validated with import cv2; print(cv2.getBuildInformation()). Keeping this issue open to improve the installation to be python-based rather than bash/docker