def main(args):
"""
Processing video, detecting and tracking people on it
"""
det = detector_yolo.Detector()
cap = cv2.VideoCapture(args['input'])
# cap = cv2.VideoCapture(0)
if (SAVE_VIDEO):
video_width = int(cap.get(3))
video_height = int(cap.get(4))
video_fps = int(cap.get(5))
fourcc = cv2.VideoWriter_fourcc(*"MJPG")
out = cv2.VideoWriter(args['output'], fourcc, video_fps,
(video_width, video_height), True)
frame = 0
start_time = time.time()
while (True):
_, img = cap.read()
if (img is None):
break
if (frame % args['skip_frames'] == 0):
print("[Tracking]")
result = detect(img, start_time, det)
else:
print("[Predicting]")
result = track(img)
# Save frame
'''if (SAVE_VIDEO):
out.write(result)'''
frame += 1
result = cv2.resize(result, (0, 0), fx=SHOW_SCALE, fy=SHOW_SCALE)
cv2.putText(result, f'FPS: {frame/(time.time()-start_time)}', (0, 50),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
cv2.imshow("frame", result)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
if (SAVE_VIDEO):
out.release()
cv2.destroyAllWindows()
result = track(img, start_time)
else:
# print("Predicting")
result = predict(img, start_time)
# Save frame
if (SAVE_VIDEO):
out.write(result)
result = cv2.resize(result, (0, 0), fx=SHOW_SCALE, fy=SHOW_SCALE)
cv2.imshow("frame", result)
frame += 1
# print("Frame:", frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
if (SAVE_VIDEO):
out.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
# det = detector.Detector('models/ssd_resnet50_v1')
# det = detector.Detector('models/faster_rcnn_resnet101_kitti_2018_01_28', 2)
det = detector_yolo.Detector()
# det = detector.Detector()
main()