I am using TrackerCSRT for object tracking in a video, and currently I use the init method on the tracker to set the region of interest: tracker = cv2.TrackerCSRT_create() tracker.init(frame, region_of_interest) The region of interest include my object, but it also include irrelevant pixels from the background or other objects. I would like to use a mask to refine which pixels I'm interested in. Looking over the documentation, I can see method setInitialMask on the C++ version, but I cannot find the equivalent method in the Python wrapper. How do I set a mask in TrackerCSRT on openCV for Python? Continue reading...
