hello, i have run the camera rasberry using this code from toptechboy.com :
#Uncomment These next Two Line for Pi Camera
camSet=‘nvarguscamerasrc wbmode=3 tnr-mode=2 tnr-strength=1 ee-mode=2 ee-strength=1 gainrange=high ! video/x-raw(memory:NVMM), width=3264, height=2464, format=NV12, framerate=21/1 ! nvvidconv flip-method=’+str(flip)+’ ! video/x-raw, width=‘+str(dispW)+’, height=‘+str(dispH)+’, format=BGRx ! videoconvert ! video/x-raw, format=BGR ! videobalance contrast=1.5 brightness=-.2 saturation=1.2 ! appsink’
#Or, if you have a WEB cam, uncomment the next line
ret, frame = cam.read()
i tried tnr-mode and gainrange but it do nothing and i know its a programmation problem cause when i run on the terminal :
gst-launch-1.0 nvarguscamerasrc ispdigitalgainrange=‘1 1’ ! capsfilter caps=‘video/x-raw(memory:NVMM),width=(int)1920,height=(int)1080,format=(string)NV12,framerate=(fraction)30/1’ ! nvvidconv flip-method=2 ! nvoverlaysink -e
there is no probleme but the camera detect nothing in the dark compare to when i use the code-oss
You can try the gst-launch-1.0 commands like:
gst-launch-1.0 nvarguscamerasrc ! nvoverlaysink
to make sure it works in gst-launch-1.0 commands first, and then can apply the string to OpenCV like:
nvarguscamerasrc ! nvvidconv ! video/x-raw,format-BGRx ! videoconvert ! video/x-raw,format=BGR ! appsink
You may also try the sample:
OpenCV Video Capture with GStreamer doesn't work on ROS-melodic - #3 by DaneLLL
gstreamer work but its really the noice graine option (tnr mode ) that i put in the open cv program who don’t work or maybe it work but no efficiently
I receive a image when using gstreamer but the noice grain make it horrible
If you are looking for camera with better image quality, you may consider use camera modules from our partners.
Jetson Ecosystem | NVIDIA Developer
normally the v2 camera don’t have this problem i saw a video from toptechboy.com and his camera and setup are the same from mine and there is too much option in the link you give me could you suggest me a good camera that will fit the jetson nano board cause i know at a certain point even if the camera is good the jetson nano can’t no keep up.
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