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

Effectively removes the memory copy when transferring data from the GstBuffer to the cv::Mat. Now the GstBuffer and its associated memory will remain alive throughout the lifespan of the matrix.

Tested under the following conditions

• OpenCV Version: 4.4.0
• FPS and CPU usage taken with the GstPerf element.
• The following source:

#include <opencv2/opencv.hpp>

int main() {
  cv::VideoCapture cap(
     "fakesrc sizetype=fixed filltype=zero sizemax=24883200 ! video/x-raw,format=BGR,width=3840,height=2160 ! "
     "perf print-arm-load=true ! appsink drop=false sync=false max-buffers=3", 
     cv::CAP_GSTREAMER);
  
  while(1){
    cv::Mat frame;
    cap >> frame;	
  }

  cap.release();
  return 0;
}

• Run with

g++ -o benchmark benchmark.cc $(pkg-config --cflags --libs opencv4$) -std=c++11
GST_DEBUG=perf:4 ./benchmark

GStreamer Video Capture - Max Framerate