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:
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) ?
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/sarmad/Documents/dev/dev_01/frame_det_00_000001.bmp') frame2 = cv2.imread('C:/Users/sarmad/Documents/dev/dev_01/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)`