Commit b1d598b1 authored by Vikrant Rajan's avatar Vikrant Rajan
Browse files

bokeh detection

parent 80507481
"""
MOTION DETECTION APPLICATION
"""
import cv2, time, pandas
from datetime import datetime
first_frame = None
status_list = [None, None]
times = []
df = pandas.DataFrame(columns=["Start", "End"])
video = cv2.VideoCapture(0)
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_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:
# checking the area of the objects in camera
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:
times.append(datetime.now())
if status_list[-1] == 0 and status_list[-2] == 1:
times.append(datetime.now())
# cv2.imshow("Gray Frame", gray)
# cv2.imshow("Delta Frame",delta_frame)
# cv2.imshow("Threshold Frame",thresh_frame)
cv2.imshow("Color Frame", frame)
key = cv2.waitKey(1)
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.destroyAllWindows
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