GStreamer pipeline + OpenCV RTSP VideoCapture 在 Docker 容器中不起作用

Question

我正在尝试让 GStreamer + OpenCV RTSP 视频捕获在基于 NVIDIA PyTorch 图像的 Docker 容器中工作。我最终必须从源代码构建 OpenCV 才能启用 GStreamer 集成，我在 Dockerfile 中这样做：

FROM nvcr.io/nvidia/pytorch:19.12-py3

# OpenCV custom build instructions from:
# https://medium.com/@galaktyk01/how-to-build-opencv-with-gstreamer-b11668fa09c
# https://github.com/junjuew/Docker-OpenCV-GStreamer/blob/master/opencv3-gstreamer1.0-Dockerfile

# Install base dependencies + gstreamer
RUN pip uninstall -y opencv-python
RUN apt-get update
RUN apt-get -y install build-essential
RUN apt-get -y install pkg-config
RUN apt-get install -y libgstreamer1.0-0 \
            gstreamer1.0-plugins-base \
            gstreamer1.0-plugins-good \
            gstreamer1.0-plugins-bad \
            gstreamer1.0-plugins-ugly \
            gstreamer1.0-libav \
            gstreamer1.0-doc \
            gstreamer1.0-tools \
            libgstreamer1.0-dev \
            libgstreamer-plugins-base1.0-dev \
            cmake \
            protobuf-compiler \
            libgtk2.0-dev \
            ocl-icd-opencl-dev

# Clone OpenCV repo
WORKDIR /
RUN git clone https://github.com/opencv/opencv.git
WORKDIR /opencv
RUN git checkout 4.2.0

# Build OpenCV
RUN mkdir /opencv/build
WORKDIR /opencv/build
RUN ln -s /opt/conda/lib/python3.6/site-packages/numpy/core/include/numpy /usr/include/numpy
RUN cmake -D CMAKE_BUILD_TYPE=RELEASE \
    -D INSTALL_PYTHON_EXAMPLES=ON \
    -D INSTALL_C_EXAMPLES=OFF \
    -D PYTHON_EXECUTABLE=$(which python) \
    -D BUILD_opencv_python2=OFF \
    -D CMAKE_INSTALL_PREFIX=$(python -c "import sys; print(sys.prefix)") \
    -D PYTHON3_EXECUTABLE=$(which python3) \
    -D PYTHON3_INCLUDE_DIR=$(python -c "from distutils.sysconfig import get_python_inc; print(get_python_inc())") \
    -D PYTHON3_PACKAGES_PATH=$(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())") \
    -D WITH_GSTREAMER=ON \
    -D BUILD_EXAMPLES=ON ..
RUN make -j$(nproc)

# Install OpenCV
RUN make install
RUN ldconfig

构建成功，如果我从 Docker 容器中打印 OpenCV 的构建信息，GStreamer 将显示为可用：

 python -c 'import cv2; print(cv2.getBuildInformation());'

 /* snip */    

 Video I/O:
    DC1394:                      NO
    FFMPEG:                      NO
      avcodec:                   NO
      avformat:                  NO
      avutil:                    NO
      swscale:                   NO
      avresample:                NO
    GStreamer:                   YES (1.14.5)
    v4l/v4l2:                    YES (linux/videodev2.h)

但是，一旦我尝试cv2.VideoCapture()在 Docker 容器内使用 GStreamer 管道，它就会立即失败：

import cv2
video = cv2.VideoCapture('gst-launch-1.0 rtspsrc location=<<rtsp URL>> latency=0 ! queue ! rtph264depay ! h264parse ! avdec_h264 ! videoconvert ! appsink', cv2.CAP_GSTREAMER)

我收到这个“警告”（例如错误）。我无法从 RTSP 源中提取帧。

[ WARN:0] global /opencv/modules/videoio/src/cap_gstreamer.cpp (713) open OpenCV | GStreamer warning: Error opening bin: unexpected reference "gst-launch-1" - ignoring
[ WARN:0] global /opencv/modules/videoio/src/cap_gstreamer.cpp (480) isPipelinePlaying OpenCV | GStreamer warning: GStreamer: pipeline have not been created

如果我在 Docker 容器之外执行此操作，它就像一个魅力。另请注意，如果我从 Docker 容器内的命令行运行 GStreamer 管道，我会得到合理的输出，该输出与在 Docker 容器外部运行相同的命令相同：

root:/# gst-launch-1.0 rtspsrc location=<<rtsp URL>> latency=0 ! queue ! rtph264depay ! h264parse ! avdec_h264 ! videoconvert ! appsink
Setting pipeline to PAUSED ...
Pipeline is live and does not need PREROLL ...
Progress: (open) Opening Stream
Progress: (connect) Connecting to <<rtsp URL>>
Progress: (open) Retrieving server options
Progress: (open) Retrieving media info
Progress: (request) SETUP stream 0
Progress: (request) SETUP stream 1
Progress: (open) Opened Stream
Setting pipeline to PLAYING ...
New clock: GstSystemClock
Progress: (request) Sending PLAY request
Progress: (request) Sending PLAY request
Progress: (request) Sent PLAY request
Redistribute latency...
Redistribute latency...

我不确定接下来要做什么来调试 GStreamer 无法与 OpenCV 一起使用的问题VideoCapture- 有什么建议吗？

Answer 1

我认为您不应该将gst-launch-1.0命令行工具包含到cv2管道描述中。

它不需要控制台命令，而只需要唯一的 GStreamer 管道。例如：

  gst_str = ('v4l2src device=/dev/video{} ! '
    'video/x-raw, width=(int){}, height=(int){} ! '
    'videoconvert ! appsink').format(dev, width, height)
  return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)

所以在你的情况下尝试：

import cv2
video = cv2.VideoCapture('rtspsrc location=<<rtsp URL>> latency=0 ! queue ! rtph264depay ! h264parse ! avdec_h264 ! videoconvert ! appsink', cv2.CAP_GSTREAMER)