'videorate ! video/x-raw, framerate=(fraction)/1 !’ from above. 'nvvidconv ! video/x-raw, format=(string)BGRx !' 'video/x-raw(memory:NVMM), format=(string)NV12 !' 'omxh264dec enable-max-performance=1 enable-low-outbuffer=1 !' 'queue max-size-buffers=100, leaky=2 !' # leaky=2 (drop old buffers) When I used the code below, My cpu usage became high, but the decoded frames were corrected. Jetpack 4.2.2 + opencv 3.4.6( installed from source) I want to use a multi-stream rtsp 1080 using hardware decoder of a Jetson nano using gstreamer + opencv + python. foo.I have a problem with the H.264 RTSP stream decoder in a Jetson nano, I will be very glad to guide me. The images need to have a running counter in the image name so all the images were selected by the shellįor creating a video from filenames matching the glob pattern cont_pic_*.jpeg:įfmpeg -f image2 -pattern_type glob -i 'cont_pic_*.jpg' -r 12. – b 800 sets the screen width for the video – r 10 are the number of images per second Once you have a successful install the one line required is:įfmpeg -r 10 -b 800 -i cont_pic_%06d.jpg video.mp4 The whole process should take about 5 mins to complete. Installing ffmpeg will automatic install its dependencies as well (texi2html, yasm, x264, faac, lame, xvid). # grabs a frame from camera or video file, decompresses # allocates and initialized the CvCapture structure forĬv.SetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH, 640 )Ĭv.SetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT, 480 ) Created windows areĬv.NamedWindow("w1", cv.CV_WINDOW_AUTOSIZE)
# a placeholder for images and trackbars. # The function namedWindow creates a window that can be used as
Now the script was somewhat straightforward: ISSUE: For python to pick up opencv module I had to:Įxport PYTHONPATH=/usr/local/Cellar/opencv/2.4.7.1/lib/python2.7/site-packages/:$PYTHONPATH And that’s what I did.įirst of all we needed in get opencv onto our machine. Just looping this over an infinite loop and capturing an image every 30 seconds will get you a rough idea of how things are progressing in front of the screen. It turns out its really easy to use the camera on a mac and capture an image. So I ended up looking at if opencv could help me. I thought it would be a nice to confirm this :). A few members of my family kept telling me that I was spending too much time in front of my laptop.
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