Sorry if I'm asking something obvious, since I'm new to CUDA processing.

When I tried to convert my code that uses OpenCV's function HoughLinesP() with the cuda module, I found the closest equivalent of it to be cuda::HoughSegmentDetector.detect().
However, the object lacks the threshold (vote count) parameter HoughLinesP() has, which makes the result very different. How should I recreate HoughLinesP() with an arbitrary threshold?

Example:

• original

  lines = cv2.HoughLinesP(image, 1, np.pi/180, threshold, minLineLength=len, maxLineGap=gap)

• cuda

  detector = cv.cuda.createHoughSegmentDetector(1, np.pi/180, len, gap) # threshold?
  lines = detector.detect(image)