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Sorry for the delay. I have no problems implementing gstreamer support in speed-camera. Hear is an example of receive code for opencv. https://stackoverflow.com/questions/51539706/convert-gstreamer-pipeline-to-opencv-in-python
Currently I don't have ip camera but could setup a gstreamer sender source using another RPI. Summer is a busy time. Let me know if you are still interested and would be willing to do some testing. Regards Claude ...
Dear Sir,
Have been trying to get your amazing project up and running on a Nvidea Jetson Nano, combined with a RPi Cam v2 (supported out of the box).
When trying to run the speed-cam.py I get the VIDEOIO ERROR: V4L2: Pixel format of incoming image is unsupported by OpenCV.
So have been researching the error.
Things I have checked:
v4l2-ctl -d /dev/video0 --list-formats
ioctl: VIDIOC_ENUM_FMT
Index : 0
Type : Video Capture
Pixel Format: 'RG10'
Name : 10-bit Bayer RGRG/GBGB
When testing the camera with GStreamer the camera is working correctly (appears under /dev/video0;
(Source: https://www.jetsonhacks.com/2019/04/02/jetson-nano-raspberry-pi-camera/)
gst-launch-1.0 nvarguscamerasrc ! 'video/x-raw(memory:NVMM),width=3820, height=2464, framerate=21/1, format=NV12' ! nvvidconv flip-method=0 ! 'video/x-raw,width=960, height=616' ! nvvidconv ! nvegltransform ! nveglglessink -e
So it appears that most probably I will have to build OpenCV with Gstreamer enabled:
(Source: https://devtalk.nvidia.com/default/topic/1001696/jetson-tx1/failed-to-open-tx1-on-board-camera/post/5117370/#5117370)
But then the question is do you consider supporting GStreamer Pipeline in your application?
Kind regards
Koen
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