小编Kir*_*ari的帖子

def run(self):
    while True:
        _ret, frame = self.cam.read()
        frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        vis = frame.copy()

        if len(self.tracks) > 0:
            img0, img1 = self.prev_gray, frame_gray
            p0 = np.float32([tr[-1] for tr in self.tracks]).reshape(-1, 1, 2)
            p1, _st, _err = cv2.calcOpticalFlowPyrLK(img0, img1, p0, None, **lk_params)
            p0r, _st, _err = cv2.calcOpticalFlowPyrLK(img1, img0, p1, None, **lk_params)
            d = abs(p0-p0r).reshape(-1, 2).max(-1)
            good = d < 1
            new_tracks = []
            for i in range(len(p1)):
                A.append(math.sqrt((p1[i][0][0])**2 + (p1[i][0][1])**2))
            counts,bins,bars = plt.hist(A)

            for tr, (x, y), good_flag in zip(self.tracks, …