Amazing-Python-Scripts
55 строк · 1.7 Кб
1
2import time
3from datetime import datetime
4
5import cv2
6import pandas
7
8video = cv2.VideoCapture(0)
9first_frame = None
10status_list = [None, None]
11time = []
12df = pandas.DataFrame(columns=["Start", "End"])
13cnts = [[0, 0], [255, 0], [255, 255], [0, 255]]
14while True:
15check, frame = video.read()
16status = 0
17gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
18gray = cv2.GaussianBlur(gray, (21, 21), 0)
19if first_frame is None:
20first_frame = gray
21continue
22delta_frame = cv2.absdiff(first_frame, gray)
23thresh_data = cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
24thresh_delta = cv2.dilate(thresh_data, None, iterations=5)
25(cnts, _) = cv2.findContours(thresh_data.copy(),
26cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
27for contour in cnts:
28if cv2.contourArea(contour) < 10000:
29continue
30status = 1
31(x, y, w, h) = cv2.boundingRect(contour)
32cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 3)
33status_list.append(status)
34if status_list[-1] == 1 and status_list[-2] == 0:
35time.append(datetime.now())
36if status_list[-1] == 0 and status_list[-2] == 1:
37time.append(datetime.now())
38cv2.imshow("Capturing", gray)
39cv2.imshow("Delta Frame", delta_frame)
40cv2.imshow("Threshold Frame", thresh_data)
41cv2.imshow("Colour Frame", frame)
42
43key = cv2.waitKey(1)
44if key == ord('q'):
45if status == 1:
46time.append(datetime.now())
47break
48
49
50print(time)
51for i in range(0, len(time), 2):
52df = df.append({"Start": time[i], "End": time[i+1]}, ignore_index=True)
53df.to_csv("Times.csv")
54
55video.release()
56cv2.destroyAllWindows
57