import numpy as np import cv2, cv import video from common import nothing, clock, draw_str MHI_DURATION = 1.0 DEFAULT_THRESHOLD = 16 MAX_TIME_DELTA = 0.5 MIN_TIME_DELTA = 0.05 if __name__ == '__main__': import sys try: video_src = sys.argv[1] except: video_src = 'synth:class=chess:bg=../cpp/lena.jpg:noise=0.01' cv2.namedWindow('motempl') visuals = ['input', 'frame_diff', 'motion_hist', 'grad_orient'] cv2.createTrackbar('visual', 'motempl', 2, len(visuals)-1, nothing) cv2.createTrackbar('threshold', 'motempl', DEFAULT_THRESHOLD, 255, nothing) cam = video.create_capture(video_src) ret, frame = cam.read() h, w = frame.shape[:2] prev_frame = frame.copy() motion_history = np.zeros((h, w), np.float32) hsv = np.zeros((h, w, 3), np.uint8) hsv[:,:,1] = 255 while True: ret, frame = cam.read() frame_diff = cv2.absdiff(frame, prev_frame) gray_diff = cv2.cvtColor(frame_diff, cv.CV_BGR2GRAY) thrs = cv2.getTrackbarPos('threshold', 'motempl') ret, motion_mask = cv2.threshold(gray_diff, thrs, 255, cv2.THRESH_BINARY) timestamp = clock() cv2.updateMotionHistory(motion_mask, motion_history, timestamp, MHI_DURATION) mg_mask, mg_orient = cv2.calcMotionGradient( motion_history, MAX_TIME_DELTA, MIN_TIME_DELTA, apertureSize=5 ); visual_name = visuals[cv2.getTrackbarPos('visual', 'motempl')] if visual_name == 'input': vis = frame.copy() elif visual_name == 'frame_diff': vis = frame_diff.copy() elif visual_name == 'motion_hist': vis = np.uint8(np.clip((motion_history-(timestamp-MHI_DURATION)) / MHI_DURATION, 0, 1)*255) vis = cv2.cvtColor(vis, cv.CV_GRAY2BGR) elif visual_name == 'grad_orient': hsv[:,:,0] = mg_orient/2 hsv[:,:,2] = mg_mask*255 vis = cv2.cvtColor(hsv, cv.CV_HSV2BGR) draw_str(vis, (20, 20), visual_name) cv2.imshow('motempl', vis) prev_frame = frame.copy() if cv2.waitKey(5) == 27: break