tracking.py 文件源码

def _do_filter(self, frame):
        ''' Process a single frame. '''
        # blur to reduce noise
        frame = cv2.GaussianBlur(frame, (5, 5), 0, borderType=cv2.BORDER_CONSTANT)

        # threshold to find contiguous regions of "bright" pixels
        # ignore all "dark" (<1/8 max) pixels
        max = numpy.max(frame)
        min = numpy.min(frame)
        # if the frame is completely dark, then just return it
        if max == min:
            return frame
        threshold = min + (max - min) / 8
        _, frame = cv2.threshold(frame, threshold, 255, cv2.THRESH_BINARY)

        # filter out single pixels and other noise
        frame = cv2.erode(frame, self._element_shrink)

        # restore and join nearby regions (in case one fish has a skinny middle...)
        frame = cv2.dilate(frame, self._element_grow)

        return frame