This is simple V4L2 tools based on libv4l2cpp

• liblog4cpp5-dev (optional)
• libvpx-dev (for v4l2compress)
• libx264-dev (for v4l2compress)
• libx265-dev (for v4l2compress)
• libjpeg-dev (for v4l2compress)

• v4l2copy :

read from a V4L2 capture device and write to a V4L2 output device

• v4l2compress :

read YUV from a V4L2 capture device, compress in VP8/VP9/H264/HEVC/JPEG format and write to a V4L2 output device
read JPEG format from a V4L2 capture device, uncompress in JPEG format and write to a V4L2 output device

• v4l2dump :

read from a V4L2 capture device and print to output frame information (work with H264 & HEVC)

• v4l2source_yuv :

generate YUYV frames and write to a V4L2 output device

• v4l2grab_h264 :

grab raspberry pi screen, compress in H264 format using OMX and write to a V4L2 output device

• v4l2display_h264 :

read H264 from V4L2 capture device, uncompress and display using OMX

• v4l2compress_omx :

read YUV from a V4L2 capture device, compress in H264 format using OMX and write to a V4L2 output device make sure the v4l2 source supports the correct pixel format. This can be configured for device 0 using v4l2-ctl -d 0 -v width=640,height=480,pixelformat=YUYV -V. Then check it was applied correctly using v4l2-ctl --all

• v4l2libcamera :

read camera using libcamera and write to a V4L2 output device, byt default codec is H264 (see https://www.raspberrypi.com/documentation/computers/camera_software.html#codec) options are standard options of libcamera-apps, -o was used to set V4L2 device to write to (for instance /dev/video30).

You can expose V4L2 devices from your host using :

The container entry point is the v4l2tools application, then you can :

• get the help using :

  docker run -it mpromonet/v4l2tools -h


• run the container specifying some paramaters :

  docker run --device=/dev/video0 --device=/dev/video1 -it mpromonet/v4l2tools -fH264