Siwat Sirichai
bdbf688946
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130 lines
No EOL
4.4 KiB
Text
130 lines
No EOL
4.4 KiB
Text
# Base image with complete ML and hardware acceleration stack
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FROM pytorch/pytorch:2.8.0-cuda12.6-cudnn9-runtime
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# Install build dependencies and system libraries
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RUN apt-get update && apt-get install -y \
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# Build tools
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build-essential \
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cmake \
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git \
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pkg-config \
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wget \
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unzip \
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yasm \
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nasm \
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# Additional dependencies for FFmpeg/NVIDIA build
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libtool \
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libc6 \
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libc6-dev \
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libnuma1 \
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libnuma-dev \
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# Essential compilation libraries
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gcc \
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g++ \
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libc6-dev \
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linux-libc-dev \
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# System libraries
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libgl1-mesa-glx \
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libglib2.0-0 \
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libgomp1 \
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# Core media libraries (essential ones only)
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libjpeg-dev \
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libpng-dev \
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libx264-dev \
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libx265-dev \
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libvpx-dev \
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libmp3lame-dev \
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libv4l-dev \
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# TurboJPEG for fast JPEG encoding
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libturbojpeg0-dev \
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# Python development
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python3-dev \
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python3-numpy \
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&& rm -rf /var/lib/apt/lists/*
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# Add NVIDIA CUDA repository and install minimal development tools
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RUN apt-get update && apt-get install -y wget gnupg && \
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wget -O - https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub | apt-key add - && \
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echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
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apt-get update && \
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apt-get install -y \
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cuda-nvcc-12-6 \
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cuda-cudart-dev-12-6 \
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libnpp-dev-12-6 \
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&& apt-get remove -y wget gnupg && \
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apt-get autoremove -y && \
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rm -rf /var/lib/apt/lists/*
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# Ensure CUDA paths are available
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ENV PATH="/usr/local/cuda/bin:${PATH}"
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ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:${LD_LIBRARY_PATH}"
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# Install NVIDIA Video Codec SDK headers (official method)
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RUN cd /tmp && \
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git clone https://git.videolan.org/git/ffmpeg/nv-codec-headers.git && \
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cd nv-codec-headers && \
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make install && \
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cd / && rm -rf /tmp/*
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# Build FFmpeg from source with NVIDIA CUDA support
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RUN cd /tmp && \
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echo "Building FFmpeg with NVIDIA CUDA support..." && \
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# Download FFmpeg source (official method)
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git clone https://git.ffmpeg.org/ffmpeg.git ffmpeg/ && \
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cd ffmpeg && \
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# Configure with NVIDIA support (simplified to avoid configure issues)
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./configure \
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--prefix=/usr/local \
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--enable-shared \
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--disable-static \
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--enable-nonfree \
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--enable-gpl \
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--enable-cuda-nvcc \
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--enable-cuvid \
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--enable-nvdec \
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--enable-nvenc \
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--enable-libnpp \
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--extra-cflags=-I/usr/local/cuda/include \
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--extra-ldflags=-L/usr/local/cuda/lib64 \
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--enable-libx264 \
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--enable-libx265 \
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--enable-libvpx \
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--enable-libmp3lame && \
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# Build and install
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make -j$(nproc) && \
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make install && \
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ldconfig && \
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# Verify CUVID decoders are available
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echo "=== Verifying FFmpeg CUVID Support ===" && \
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(ffmpeg -hide_banner -decoders 2>/dev/null | grep cuvid || echo "No CUVID decoders found") && \
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echo "=== Verifying FFmpeg NVENC Support ===" && \
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(ffmpeg -hide_banner -encoders 2>/dev/null | grep nvenc || echo "No NVENC encoders found") && \
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cd / && rm -rf /tmp/*
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# Set environment variables for maximum hardware acceleration
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ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/lib:${LD_LIBRARY_PATH}"
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ENV PKG_CONFIG_PATH="/usr/local/lib/pkgconfig:${PKG_CONFIG_PATH}"
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ENV PYTHONPATH="/usr/local/lib/python3.10/dist-packages:${PYTHONPATH}"
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# Optimized environment variables for hardware acceleration
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ENV OPENCV_FFMPEG_CAPTURE_OPTIONS="rtsp_transport;tcp|hwaccel;cuda|hwaccel_device;0|video_codec;h264_cuvid|hwaccel_output_format;cuda"
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ENV OPENCV_FFMPEG_WRITER_OPTIONS="video_codec;h264_nvenc|preset;fast|tune;zerolatency|gpu;0"
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ENV CUDA_VISIBLE_DEVICES=0
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ENV NVIDIA_VISIBLE_DEVICES=all
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,video,utility
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# Copy and install base requirements (exclude opencv-python since we built from source)
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COPY requirements.base.txt .
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RUN grep -v opencv-python requirements.base.txt > requirements.tmp && \
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mv requirements.tmp requirements.base.txt && \
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pip install --no-cache-dir -r requirements.base.txt
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# Set working directory
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WORKDIR /app
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# Create images directory for bind mount
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RUN mkdir -p /app/images && \
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chmod 755 /app/images
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# This base image will be reused for all worker builds
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CMD ["python3", "-m", "fastapi", "run", "--host", "0.0.0.0", "--port", "8000"] |