# Base image with complete ML and hardware acceleration stack FROM pytorch/pytorch:2.8.0-cuda12.6-cudnn9-runtime # Install build dependencies and system libraries RUN apt-get update && apt-get install -y \ # Build tools build-essential \ cmake \ git \ pkg-config \ wget \ unzip \ yasm \ nasm \ # System libraries libgl1-mesa-glx \ libglib2.0-0 \ libgomp1 \ # Core media libraries (essential ones only) libjpeg-dev \ libpng-dev \ libx264-dev \ libx265-dev \ libvpx-dev \ libmp3lame-dev \ libv4l-dev \ # TurboJPEG for fast JPEG encoding libturbojpeg0-dev \ # Python development python3-dev \ python3-numpy \ && rm -rf /var/lib/apt/lists/* # Install CUDA development tools (required for FFmpeg CUDA compilation) RUN apt-get update && apt-get install -y \ cuda-nvcc-12-6 \ libcuda1 \ cuda-cudart-dev-12-6 \ cuda-driver-dev-12-6 \ || echo "CUDA development packages not available, continuing without them" && \ rm -rf /var/lib/apt/lists/* # Try to install NVIDIA packages (may not be available in all environments) RUN apt-get update && apt-get install -y \ libnvidia-encode-535 \ libnvidia-decode-535 \ || echo "NVIDIA packages not available, continuing without them" && \ rm -rf /var/lib/apt/lists/* # Use pre-built FFmpeg with CUDA support using the build script ENV FFMPEG_BUILD_SCRIPT_VERSION=1.43 # Ensure CUDA paths are available ENV PATH="/usr/local/cuda/bin:${PATH}" ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:${LD_LIBRARY_PATH}" # Install NVIDIA Video Codec SDK headers first RUN cd /tmp && \ wget https://github.com/FFmpeg/nv-codec-headers/archive/refs/tags/n12.1.14.0.zip && \ unzip n12.1.14.0.zip && \ cd nv-codec-headers-n12.1.14.0 && \ make install && \ rm -rf /tmp/* # Build FFmpeg using the well-maintained build script with CUDA support RUN cd /tmp && \ echo "Building FFmpeg with CUDA support using build script..." && \ curl -sL "https://raw.githubusercontent.com/markus-perl/ffmpeg-build-script/master/build-ffmpeg" -o build-ffmpeg && \ chmod +x build-ffmpeg && \ # Configure the build script for CUDA support SKIPINSTALL=yes \ AUTOINSTALL=yes \ ./build-ffmpeg \ --build \ --enable-gpl-and-non-free \ --latest \ --cuda \ && \ # Copy built binaries to system paths cp workspace/bin/* /usr/local/bin/ && \ cp workspace/lib/* /usr/local/lib/ && \ ldconfig && \ # Verify CUVID decoders are available echo "=== Verifying FFmpeg CUVID Support ===" && \ (ffmpeg -hide_banner -decoders 2>/dev/null | grep cuvid || echo "No CUVID decoders found") && \ echo "=== Verifying FFmpeg NVENC Support ===" && \ (ffmpeg -hide_banner -encoders 2>/dev/null | grep nvenc || echo "No NVENC encoders found") && \ cd / && rm -rf /tmp/* # Build OpenCV from source with custom FFmpeg and full CUDA support ENV OPENCV_VERSION=4.8.1 RUN cd /tmp && \ wget -O opencv.zip https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.zip && \ wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/${OPENCV_VERSION}.zip && \ unzip opencv.zip && \ unzip opencv_contrib.zip && \ cd opencv-${OPENCV_VERSION} && \ mkdir build && cd build && \ PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:$PKG_CONFIG_PATH \ cmake -D CMAKE_BUILD_TYPE=RELEASE \ -D CMAKE_INSTALL_PREFIX=/usr/local \ -D WITH_CUDA=ON \ -D WITH_CUDNN=ON \ -D OPENCV_DNN_CUDA=ON \ -D ENABLE_FAST_MATH=ON \ -D CUDA_FAST_MATH=ON \ -D WITH_CUBLAS=ON \ -D WITH_NVCUVID=ON \ -D WITH_CUVID=ON \ -D BUILD_opencv_cudacodec=ON \ -D WITH_FFMPEG=ON \ -D WITH_LIBV4L=ON \ -D BUILD_opencv_python3=ON \ -D OPENCV_GENERATE_PKGCONFIG=ON \ -D OPENCV_ENABLE_NONFREE=ON \ -D OPENCV_EXTRA_MODULES_PATH=/tmp/opencv_contrib-${OPENCV_VERSION}/modules \ -D PYTHON3_EXECUTABLE=$(which python3) \ -D PYTHON_INCLUDE_DIR=$(python3 -c "import sysconfig; print(sysconfig.get_path('include'))") \ -D PYTHON_LIBRARY=$(python3 -c "import sysconfig; print(sysconfig.get_config_var('LIBDIR'))") \ -D BUILD_EXAMPLES=OFF \ -D BUILD_TESTS=OFF \ -D BUILD_PERF_TESTS=OFF \ .. && \ make -j$(nproc) && \ make install && \ ldconfig && \ cd / && rm -rf /tmp/* # Set environment variables for maximum hardware acceleration ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/lib:${LD_LIBRARY_PATH}" ENV PKG_CONFIG_PATH="/usr/local/lib/pkgconfig:${PKG_CONFIG_PATH}" ENV PYTHONPATH="/usr/local/lib/python3.10/dist-packages:${PYTHONPATH}" # Optimized environment variables for hardware acceleration ENV OPENCV_FFMPEG_CAPTURE_OPTIONS="rtsp_transport;tcp|hwaccel;cuda|hwaccel_device;0|video_codec;h264_cuvid|hwaccel_output_format;cuda" ENV OPENCV_FFMPEG_WRITER_OPTIONS="video_codec;h264_nvenc|preset;fast|tune;zerolatency|gpu;0" ENV CUDA_VISIBLE_DEVICES=0 ENV NVIDIA_VISIBLE_DEVICES=all ENV NVIDIA_DRIVER_CAPABILITIES=compute,video,utility # Copy and install base requirements (exclude opencv-python since we built from source) COPY requirements.base.txt . RUN grep -v opencv-python requirements.base.txt > requirements.tmp && \ mv requirements.tmp requirements.base.txt && \ pip install --no-cache-dir -r requirements.base.txt # Verify complete hardware acceleration setup RUN echo "=== Hardware Acceleration Verification ===" && \ echo "FFmpeg Hardware Accelerators:" && \ (ffmpeg -hide_banner -hwaccels 2>/dev/null || echo "FFmpeg hwaccels command failed") && \ echo "" && \ echo "FFmpeg CUVID Decoders (NVIDIA):" && \ (ffmpeg -hide_banner -decoders 2>/dev/null | grep -E "cuvid" || echo "No CUVID decoders found") && \ echo "" && \ echo "FFmpeg NVENC Encoders (NVIDIA):" && \ (ffmpeg -hide_banner -encoders 2>/dev/null | grep -E "nvenc" || echo "No NVENC encoders found") && \ echo "" && \ echo "Testing CUVID decoder compilation (no GPU required):" && \ (ffmpeg -hide_banner -f lavfi -i testsrc=duration=0.1:size=64x64:rate=1 -c:v libx264 -f null - 2>/dev/null && echo "✅ FFmpeg basic functionality working" || echo "❌ FFmpeg basic test failed") && \ echo "" && \ echo "OpenCV Configuration:" && \ (python3 -c "import cv2; print('OpenCV version:', cv2.__version__); build_info = cv2.getBuildInformation(); print('CUDA support:', 'CUDA' in build_info); print('CUVID support:', 'CUVID' in build_info); print('FFmpeg support:', 'FFMPEG' in build_info)" || echo "OpenCV verification failed") && \ echo "" && \ echo "=== Verification Complete (build-time only) ===" # Set working directory WORKDIR /app # Create images directory for bind mount RUN mkdir -p /app/images && \ chmod 755 /app/images # This base image will be reused for all worker builds CMD ["python3", "-m", "fastapi", "run", "--host", "0.0.0.0", "--port", "8000"]