Use MAT frames for feature tracking

[Honey_Patouceul]

You may have a look to these 2 examples (one in C++, one in python):

TX2 OpenCV tracking Segfault

This example works fine on my TX2. I use the KCF tracker with the onboard camera video : #include <opencv2/core/utility.hpp> #include <opencv2/tracking.hpp> #include <opencv2/videoio.hpp> #include <opencv2/highgui.hpp> #include <iostream> #include <cstring> using namespace std; using namespace cv; int main( int argc, char** argv ){ // Gstreamer pipeline for accessing on board camera, rotate image 180° writing to CPU mem and convert to BGR for opencv input const char* gst = "nvcameras…

Multi-object tracker tx1

Update: I took some time to test your code and adapt to opencv (main.py below). I’ve used opencv4.2 (pre 4.3.0). You would need an opencv build with gstreamer support installed and available from python (uncomment #cv2.getBuildInformation() to be sure). As input, it uses a gstreamer pipeline in order to read the AVI file TownCentreXVID.avi and provide frames in BGR format, with decodebin that should use nvv4l2decoder for HW(NVDEC) H264 decoding and nvvidconv for NV12 to BGRx HW(ISP) conversio…