calculate optical flow between several consecutive frames

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Hi

How can I calculate optical flow between several consecutive frames (e.g., every 10 frames), ? and then optical flow computed from each image is transformed into a “flow image" that contains the horizontal and vertical components: x flow values, y flow values, as well as the flow magnitude. I'm using below code to compute the optical flow for two images , but I don't know how to do:

1. If I have a folder conatins for example 500 video frames as images , how to calculate optical flow between several consecutive frames (e.g., every 10 frames) ?

2. optical flow computed from each image is transformed into a “flow image" that contains the horizontal and vertical components: x flow values, y flow values, as well as the flow magnitude

    import cv2
    import numpy as np
    import matplotlib.pyplot as plt
   
   frame1 = cv2.imread('C:/Users/Documents/images/frame_det_00_000001.bmp')
   frame2 = cv2.imread('C:/Users/Documents/images/frame_det_00_000001.bmp')
   prvs = cv2.cvtColor(frame1,cv2.COLOR_BGR2GRAY)
   next1 = cv2.cvtColor(frame2,cv2.COLOR_BGR2GRAY)
   
   
   flow = cv2.calcOpticalFlowFarneback(prvs, next1, None,0.5, 3, 15, 3, 5, 1.2, 0)
   
   horz = cv2.normalize(flow[...,0], None, 0, 255, cv2.NORM_MINMAX)
   vert = cv2.normalize(flow[...,1], None, 0, 255, cv2.NORM_MINMAX)
   horz = horz.astype('uint8')
   vert = vert.astype('uint8')
   
   
   plt.subplot(1, 4, 1)
   plt.title('Frame 1')
   plt.imshow(frame1)
   plt.subplot(1, 4, 2)
   plt.title('Frame 2')
   plt.imshow(frame2)
   plt.subplot(1, 4, 3)
   plt.title('Horz')
   plt.imshow(horz)
   plt.subplot(1,4,4)
   plt.title('Vert')
   plt.imshow(vert)`