while True:
check, frame = video.read()
status = 0
grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
grey = cv2.GaussianBlur(grey, (21,21), 0)
if first_frame is None:
first_frame = grey
continue
delta_frame = cv2.absdiff(first_frame, grey)
thresh_frame = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
thresh_frame = cv2.dilate(thresh_frame, None, iterations=2)
(cnts,_) = cv2.findContours(thresh_frame.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
for contour in cnts:
if cv2.contourArea(contour) < 10000:
continue
status = 1
(x, y, w, h) = cv2.boundingRect(contour)
cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,2), 3)
status_list.append(status)
status_list=status_list[-2:]
if status_list[-1]==1 and status_list[-2]==0:
times.append(datetime.now())
if status_list[-1]==0 and status_list[-2]==1:
times.append(datetime.now())
# cv2.imshow("Gray Frame", grey)
# cv2.imshow("Delta Frame", delta_frame)
# cv2.imshow("Threshold Frame", thresh_frame)
cv2.imshow("Color Frame", frame)
key = cv2.waitKey(1)
# print(grey)
# print(delta_frame)
if key == ord('q'):
if status ==1:
times.append(datetime.now())
break
print(status_list)
print(times)
for i in range(0,len(times),2):
df = df.append({'Start': times[i], 'End': times[i+1]},
ignore_index=True)
df.to_csv ("Times.csv")
video.release () cv2.destroyAll Windows ()
[1, 1] [datetime.datetime (2020, 4, 2, 20, 9, 25, 769113)] Traceback (последний вызов был последним): файл "/ Volumes / ahmedRashad / PycharmProjects / udemy / Application / App_6 / Webcam_Motion Detector / motion_detector.py", строка 66, in df = df.append ({'Start': times [i], 'End': times [i + 1]}, IndexError: индекс списка вне диапазона