#!/usr/bin/env python import numpy as np import cv2 as cv MHI_DURATION = 0.5 DEFAULT_THRESHOLD = 32 MAX_TIME_DELTA = 0.25 MIN_TIME_DELTA = 0.05 # (empty) trackbar callback def nothing(dummy): pass def draw_motion_comp(vis, rect, angle, color): x, y, w, h = rect cv.rectangle(vis, (x, y), (x+w, y+h), (0, 255, 0)) r = min(w//2, h//2) cx, cy = x+w//2, y+h//2 angle = angle*np.pi/180 cv.circle(vis, (cx, cy), r, color, 3) cv.line(vis, (cx, cy), (int(cx+np.cos(angle)*r), int(cy+np.sin(angle)*r)), color, 3) if __name__ == '__main__': import sys try: video_src = sys.argv[1] except: video_src = 0 cv.namedWindow('motempl') visuals = ['input', 'frame_diff', 'motion_hist', 'grad_orient'] cv.createTrackbar('visual', 'motempl', 2, len(visuals)-1, nothing) cv.createTrackbar('threshold', 'motempl', DEFAULT_THRESHOLD, 255, nothing) cam = cv.VideoCapture(video_src) if not cam.isOpened(): print("could not open video_src " + str(video_src) + " !\n") sys.exit(1) ret, frame = cam.read() if ret == False: print("could not read from " + str(video_src) + " !\n") sys.exit(1) 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() if ret == False: break frame_diff = cv.absdiff(frame, prev_frame) gray_diff = cv.cvtColor(frame_diff, cv.COLOR_BGR2GRAY) thrs = cv.getTrackbarPos('threshold', 'motempl') ret, motion_mask = cv.threshold(gray_diff, thrs, 1, cv.THRESH_BINARY) timestamp = cv.getTickCount() / cv.getTickFrequency() cv.motempl.updateMotionHistory(motion_mask, motion_history, timestamp, MHI_DURATION) mg_mask, mg_orient = cv.motempl.calcMotionGradient( motion_history, MAX_TIME_DELTA, MIN_TIME_DELTA, apertureSize=5 ) seg_mask, seg_bounds = cv.motempl.segmentMotion(motion_history, timestamp, MAX_TIME_DELTA) visual_name = visuals[cv.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 = cv.cvtColor(vis, cv.COLOR_GRAY2BGR) elif visual_name == 'grad_orient': hsv[:,:,0] = mg_orient/2 hsv[:,:,2] = mg_mask*255 vis = cv.cvtColor(hsv, cv.COLOR_HSV2BGR) for i, rect in enumerate([(0, 0, w, h)] + list(seg_bounds)): x, y, rw, rh = rect area = rw*rh if area < 64**2: continue silh_roi = motion_mask [y:y+rh,x:x+rw] orient_roi = mg_orient [y:y+rh,x:x+rw] mask_roi = mg_mask [y:y+rh,x:x+rw] mhi_roi = motion_history[y:y+rh,x:x+rw] if cv.norm(silh_roi, cv.NORM_L1) < area*0.05: continue angle = cv.motempl.calcGlobalOrientation(orient_roi, mask_roi, mhi_roi, timestamp, MHI_DURATION) color = ((255, 0, 0), (0, 0, 255))[i == 0] draw_motion_comp(vis, rect, angle, color) cv.putText(vis, visual_name, (20, 20), cv.FONT_HERSHEY_PLAIN, 1.0, (200,0,0)) cv.imshow('motempl', vis) prev_frame = frame.copy() if 0xFF & cv.waitKey(5) == 27: break # cleanup the camera and close any open windows cam.release() cv.destroyAllWindows()