OpenCV

If using an downloaded image, check first that these packages are not already installed.

Accessing the cameras using OpenCV in Python

Below are short examples of using openCV. Refer to NXP.com or other guides for more detail.

You may find more complete application examples in the MR-B3RB documentation

Getting started

To install OpenCV for Python to the image, run the following command:

sudo apt install python3-opencv

Getting images from the camera using gstreamer pipelines

To access the Google Coral Camera(s) on NavQ+ in OpenCV, you may use the following VideoCapture instantiation:

cap = cv2.VideoCapture('v4l2src device=/dev/video3 ! video/x-raw,framerate=30/1,width=640,height=480 ! appsink', cv2.CAP_GSTREAMER)

You may change the source resolution by editing the width and height values in the GStreamer pipeline. See below for a list of supported resolutions and framerates.

video/x-raw, format=YUY2, width=2592, height=1944, framerate=8/1
video/x-raw, format=YUY2, width=1920, height=1080, framerate={ (fraction)15/1, (fraction)30/1 }
video/x-raw, format=YUY2, width=1280, height=720, framerate={ (fraction)15/1, (fraction)30/1 }
video/x-raw, format=YUY2, width=1024, height=768, framerate={ (fraction)15/1, (fraction)30/1 }
video/x-raw, format=YUY2, width=720, height=576, framerate={ (fraction)15/1, (fraction)30/1 }
video/x-raw, format=YUY2, width=720, height=480, framerate={ (fraction)15/1, (fraction)30/1 }
video/x-raw, format=YUY2, width=640, height=480, framerate={ (fraction)15/1, (fraction)30/1 }
video/x-raw, format=YUY2, width=320, height=240, framerate={ (fraction)15/1, (fraction)30/1 }
video/x-raw, format=YUY2, width=176, height=144, framerate={ (fraction)15/1, (fraction)30/1 }