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• How can I build a custom version of opencv while enabling CUDA and opengl ? [closed]

  10 février, par Josh

  I have a hard requirement of python3.7 for certain libraries (aeneas & afaligner). I've been using the regular opencv-python and ffmpeg libraries in my program and they've been working find.

  


  Recently I wanted to adjust my program to use h264 instead of mpeg4 and ran down a licensing rabbit hole of how opencv-python uses a build of ffmpeg with opengl codecs off to avoid licensing issues. x264 is apparently opengl, and is disabled in the opencv-python library.

  


  In order to solve this issue, I built a custom build of opencv using another custom build of ffmpeg both with opengl enabled. This allowed me to use the x264 encoder with the VideoWriter in my python program.

  


  Here's the dockerfile of how I've been running it :

  



  FROM python:3.7-slim

# Set optimization flags and number of cores globally
ENV CFLAGS="-O3 -march=native -ffast-math -flto -fno-fat-lto-objects -ffunction-sections -fdata-sections" \
    CXXFLAGS="-O3 -march=native -ffast-math -flto -fno-fat-lto-objects -ffunction-sections -fdata-sections" \
    LDFLAGS="-flto -fno-fat-lto-objects -Wl,--gc-sections" \
    MAKEFLAGS="-j\$(nproc)"

# Combine all system dependencies in a single layer
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    cmake \
    git \
    wget \
    unzip \
    yasm \
    pkg-config \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libglib2.0-0 \
    libavcodec-dev \
    libavformat-dev \
    libswscale-dev \
    libavutil-dev \
    libswresample-dev \
    nasm \
    mercurial \
    libnuma-dev \
    espeak \
    libespeak-dev \
    libtiff5-dev \
    libjpeg62-turbo-dev \
    libopenjp2-7-dev \
    zlib1g-dev \
    libfreetype6-dev \
    liblcms2-dev \
    libwebp-dev \
    tcl8.6-dev \
    tk8.6-dev \
    python3-tk \
    libharfbuzz-dev \
    libfribidi-dev \
    libxcb1-dev \
    python3-dev \
    python3-setuptools \
    libsndfile1 \
    libavdevice-dev \
    libavfilter-dev \
    libpostproc-dev \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Build x264 with optimizations
RUN cd /tmp && \
    wget https://code.videolan.org/videolan/x264/-/archive/master/x264-master.tar.bz2 && \
    tar xjf x264-master.tar.bz2 && \
    cd x264-master && \
    ./configure \
        --enable-shared \
        --enable-pic \
        --enable-asm \
        --enable-lto \
        --enable-strip \
        --enable-optimizations \
        --bit-depth=8 \
        --disable-avs \
        --disable-swscale \
        --disable-lavf \
        --disable-ffms \
        --disable-gpac \
        --disable-lsmash \
        --extra-cflags="-O3 -march=native -ffast-math -fomit-frame-pointer -flto -fno-fat-lto-objects" \
        --extra-ldflags="-O3 -flto -fno-fat-lto-objects" && \
    make && \
    make install && \
    cd /tmp && \
    # Build FFmpeg with optimizations
    wget https://ffmpeg.org/releases/ffmpeg-7.1.tar.bz2 && \
    tar xjf ffmpeg-7.1.tar.bz2 && \
    cd ffmpeg-7.1 && \
    ./configure \
        --enable-gpl \
        --enable-libx264 \
        --enable-shared \
        --enable-nonfree \
        --enable-pic \
        --enable-asm \
        --enable-optimizations \
        --enable-lto \
        --enable-pthreads \
        --disable-debug \
        --disable-static \
        --disable-doc \
        --disable-ffplay \
        --disable-ffprobe \
        --disable-filters \
        --disable-programs \
        --disable-postproc \
        --extra-cflags="-O3 -march=native -ffast-math -fomit-frame-pointer -flto -fno-fat-lto-objects -ffunction-sections -fdata-sections" \
        --extra-ldflags="-O3 -flto -fno-fat-lto-objects -Wl,--gc-sections" \
        --prefix=/usr/local && \
    make && \
    make install && \
    ldconfig && \
    rm -rf /tmp/*

# Install Python dependencies first
RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
    pip install --no-cache-dir numpy py-spy

# Build OpenCV with optimized configuration
RUN cd /tmp && \
    # Download specific OpenCV version archives
    wget -O opencv.zip https://github.com/opencv/opencv/archive/4.8.0.zip && \
    wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.8.0.zip && \
    unzip opencv.zip && \
    unzip opencv_contrib.zip && \
    mv opencv-4.8.0 opencv && \
    mv opencv_contrib-4.8.0 opencv_contrib && \
    rm opencv.zip opencv_contrib.zip && \
    cd opencv && \
    mkdir build && cd build && \
    cmake \
        -D CMAKE_BUILD_TYPE=RELEASE \
        -D CMAKE_C_FLAGS="-O3 -march=native -ffast-math -flto -fno-fat-lto-objects -ffunction-sections -fdata-sections" \
        -D CMAKE_CXX_FLAGS="-O3 -march=native -ffast-math -flto -fno-fat-lto-objects -ffunction-sections -fdata-sections -Wno-deprecated" \
        -D CMAKE_EXE_LINKER_FLAGS="-flto -fno-fat-lto-objects -Wl,--gc-sections" \
        -D CMAKE_SHARED_LINKER_FLAGS="-flto -fno-fat-lto-objects -Wl,--gc-sections" \
        -D CMAKE_INSTALL_PREFIX=/usr/local \
        -D ENABLE_FAST_MATH=ON \
        -D CPU_BASELINE_DETECT=ON \
        -D CPU_BASELINE=SSE3 \
        -D CPU_DISPATCH=SSE4_1,SSE4_2,AVX,AVX2,AVX512_SKX,FP16 \
        -D WITH_OPENMP=ON \
        -D OPENCV_ENABLE_NONFREE=ON \
        -D WITH_FFMPEG=ON \
        -D FFMPEG_ROOT=/usr/local \
        -D OPENCV_EXTRA_MODULES_PATH=/tmp/opencv_contrib/modules \
        -D PYTHON_EXECUTABLE=/usr/local/bin/python3.7 \
        -D PYTHON3_EXECUTABLE=/usr/local/bin/python3.7 \
        -D PYTHON3_INCLUDE_DIR=/usr/local/include/python3.7m \
        -D PYTHON3_LIBRARY=/usr/local/lib/libpython3.7m.so \
        -D PYTHON3_PACKAGES_PATH=/usr/local/lib/python3.7/site-packages \
        -D PYTHON3_NUMPY_INCLUDE_DIRS=/usr/local/lib/python3.7/site-packages/numpy/core/include \
        -D BUILD_opencv_python3=ON \
        -D INSTALL_PYTHON_EXAMPLES=OFF \
        -D BUILD_TESTS=OFF \
        -D BUILD_PERF_TESTS=OFF \
        -D BUILD_EXAMPLES=OFF \
        -D BUILD_DOCS=OFF \
        -D BUILD_opencv_apps=OFF \
        -D WITH_OPENCL=OFF \
        -D WITH_CUDA=OFF \
        -D WITH_IPP=OFF \
        -D WITH_TBB=OFF \
        -D WITH_V4L=OFF \
        -D WITH_QT=OFF \
        -D WITH_GTK=OFF \
        -D BUILD_LIST=core,imgproc,imgcodecs,videoio,python3 \
        .. && \
    make && \
    make install && \
    ldconfig && \
    rm -rf /tmp/*

# Set working directory and copy application code
WORKDIR /app

COPY requirements.txt .

RUN apt-get update && apt-get install -y --no-install-recommends ffmpeg

RUN pip install --no-cache-dir aeneas afaligner && \
    pip install --no-cache-dir -r requirements.txt

COPY . .

# Make entrypoint executable
RUN chmod +x entrypoint.sh
ENTRYPOINT ["./entrypoint.sh"]


  


  My trouble now, is I've been considering running parts of my program on my GPU, it's creating graphics for a video after all. I have no idea how to edit my Dockerfile to make the opencv build run with CUDA enabled, every combination I try leads to issues.

  


  How can I tell which version of CUDA, opencv and ffmpeg are compatible with python 3.7 ? I've tried so so many combinations and they all lead to different issues, I've asked various AI agents and they all flounder. Where can I find a reliable source of information about this ?

  


• Recommendations for Open Source Webinar Platforms Supporting 1000+ Users [closed]

  28 janvier, par Firas Ben said

  I am looking for an open-source webinar platform capable of hosting 1000+ concurrent users. My primary requirements are :

  


  

  • Scalability to handle large audiences seamlessly.

  


  • Support for features like video streaming, screen sharing, and chat functionality.

  


  • Compatibility with modern technologies such as RTMP and HLS.

  


  • Extensibility to integrate with other tools or APIs.

  


  


  I’ve come across platforms like BigBlueButton but it cannot handle a great number of users in a session, so I’d like to know if there are other options available.

  


• hwframe : Allow hwaccel frame allocators to align surface sizes

  22 juin 2017, par Anton Khirnov

  hwframe : Allow hwaccel frame allocators to align surface sizes
  Hardware accelerated decoding generally uses AVHWFramesContext for pool
  
  allocation of hardware surfaces. These are setup to allocate surfaces
  
  aligned to hardware and hwaccel API requirements. Due to the
  
  architecture, av_hwframe_get_buffer() will return AVFrames with
  
  the dimensions set to the aligned sizes.
  This causes some decoders (like hevc) return these aligned size as
  
  final frame size, instead of cropping them to the video's actual
  
  dimensions. To make sure this doesn't happen, crop the frame to the
  
  size the decoder expects when ff_get_buffer() is called.
  Merges Libav commit 3fdf50f9e864c88da2139cf066832944de81acaa.
  Signed-off-by : Luca Barbato <lu_zero@gentoo.org>
  

  • [DH] libavcodec/decode.c