Files
cours-ai-tutorials/OpenCV/tutoriel17/alarme.py
2026-03-31 13:28:59 +02:00

67 lines
2.2 KiB
Python

import os
import sys
import time
import numpy as np
import cv2
cap=cv2.VideoCapture("chien.mp4") # Mettre votre video ou webcam!
kernel_blur=3
seuil=15
surface=6000
ret, originale=cap.read()
if ret is False:
quit()
originale=cv2.cvtColor(originale, cv2.COLOR_BGR2GRAY)
originale=cv2.GaussianBlur(originale, (kernel_blur, kernel_blur), 0)
kernel_dilate=np.ones((5, 5), np.uint8)
alarme=0
intrus=0
while True:
ret, frame=cap.read()
if ret is False:
quit()
gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
gray_blur=cv2.GaussianBlur(gray, (kernel_blur, kernel_blur), 0)
mask=cv2.absdiff(originale, gray_blur)
mask=cv2.threshold(mask, seuil, 255, cv2.THRESH_BINARY)[1]
mask=cv2.dilate(mask, kernel_dilate, iterations=3)
contours, nada=cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
frame_contour=frame.copy()
for c in contours:
if cv2.contourArea(c)<surface:
continue
cv2.drawContours(frame_contour, [c], 0, (0, 255, 0), 2)
x, y, w, h=cv2.boundingRect(c)
alarme=1
intrus=1
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 255), 2)
if intrus:
cv2.putText(frame, "INTRUS", (x, y-20), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255), 2)
originale=gray_blur
if alarme:
cv2.putText(frame, "ALARME", (10, 60), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255), 2)
cv2.putText(frame, "[o|l]seuil: {:d} [p|m]blur: {:d} [i|k]surface: {:d}".format(seuil, kernel_blur, surface), (10, 30), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 255, 255), 2)
cv2.imshow("frame", frame)
cv2.imshow("Mask", mask)
intrus=0
key=cv2.waitKey(30)&0xFF
if key==ord('q'):
break
if key==ord('p'):
kernel_blur=min(43, kernel_blur+2)
if key==ord('m'):
kernel_blur=max(1, kernel_blur-2)
if key==ord('o'):
seuil=min(255, seuil+1)
if key==ord('l'):
seuil=max(1, seuil-1)
if key==ord('i'):
surface+=1000
if key==ord('k'):
surface=max(1000, surface-1000)
if key==ord('a'):
alarme=0
cap.release()
cv2.destroyAllWindows()