RidgeRun OpenCV Fork
Introduction
The RidgeRun OpenCV fork is a modified version of the project with various improvements around speed and efficiency. While some changes are general (i.e.: any platform will benefit from them), others are specific to the NVIDIA Jetson family.
The fork is hosted at:
https://github.com/RidgeRun/opencv
Building the Project
Follow the instructions in our Compiling OpenCV from Source page. Make sure you select:
- RidgeRun fork
- GStreamer support
- CUDA support (if applicable)
Enhancements
GStreamer Video Capture
Tested under the following conditions
- OpenCV Version: 4.4.0
- FPS and CPU usage taken with the GstPerf element.
- The following script:
#!/usr/bin/env python3 import cv2 as cv PIPE = "videotestsrc pattern=black ! \ video/x-raw,format=BGR,width=1920,height=1080 ! \ perf print-arm-load=true \ appsink sync=false drop=false max-buffers=3" cap = cv.VideoCapture(PIPE, cv.CAP_GSTREAMER) while True: ret, frame = cap.read() cv.imshow('display', frame) if cv.waitKey(1) & 0xFF == ord('q'): break cap.release() cv.destroyAllWindows()