
import cv2,time,pandas
from datetime import datetime
video=cv2.VideoCapture(0)

first_frame=None
status_list=[None,None]
times=[]
df=pandas.DataFrame(columns=["Start","End"])
while True:
    check,frame=video.read()
    status=0

    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    gray=cv2.GaussianBlur(gray,(21,21),0)

    if first_frame is None:
        first_frame=gray
        continue

    delta_frame=cv2.absdiff(first_frame,gray)
    thresh_delta=cv2.threshold(delta_frame,30,255,cv2.THRESH_BINARY)[1]
    thresh_delta=cv2.dilate(thresh_delta,None,iterations=2)

    (_,cnts,_)=cv2.findContours(thresh_delta.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),(0,255,0),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("Capturing",gray)
    cv2.imshow("Delta",delta_frame)
    cv2.imshow("Threshold",thresh_delta)
    cv2.imshow("Color Frame",frame)

    key=cv2.waitKey(1)

    if key==ord('q'):
        if status==1:
            times.append(datetime.now())
        break
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")
print(times)
video.release()
cv2.destroyAllWindows()
