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:

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()

cap.release()
cv.destroyAllWindows()

• Execution:

GST_DEBUG=perf:4 python3 ./benchmark.py