import time
from datetime import datetime

import cv2
import pandas

video=cv2.VideoCapture(0)
first_frame=None
status_list=[None,None]
time=[]
df=pandas.DataFrame(columns=["Start","End"])
cnts= [[0,0], [255,0], [255,255], [0,255]]
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_data=cv2.threshold(delta_frame,30,255,cv2.THRESH_BINARY)[1]
    thresh_delta=cv2.dilate(thresh_data,None,iterations=5)
    (cnts,_) =cv2.findContours(thresh_data.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)
    if status_list[-1]==1 and status_list[-2]==0:
        time.append(datetime.now())
    if status_list[-1]==0 and status_list[-2]==1:
        time.append(datetime.now())
    cv2.imshow("Capturing", gray)
    cv2.imshow("Delta Frame",delta_frame)
    cv2.imshow("Threshold Frame",thresh_data)
    cv2.imshow("Colour Frame",frame)

    
    key=cv2.waitKey(1)
    if key==ord('q'):
        if status==1:
            time.append(datetime.now())
        break


print(time)
for i in range(0,len(time),2):
    df=df.append({"Start":time[i],"End":time[i+1]},ignore_index=True)
df.to_csv("Times.csv")

video.release()
cv2.destroyAllWindows