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2026-03-31 13:28:59 +02:00
commit 7ec43ca17d
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import cv2
import numpy as np
def moyenne_image(video, nbr):
cap=cv2.VideoCapture(video)
tab_image=[]
for f in range(nbr):
ret, frame=cap.read()
if ret is False:
break
image=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
tab_image.append(image)
tab_image=np.array(tab_image)
cap.release()
return np.mean(tab_image, axis=0)
def calcul_mask(image, fond, seuil):
image=cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
height, width=image.shape
mask=np.zeros([height, width], np.uint8)
image=image.astype(np.int32)
for y in range(height):
for x in range(width):
if abs(fond[y][x]-image[y][x])>seuil:
mask[y][x]=255
kernel=np.ones((5, 5), np.uint8)
mask=cv2.erode(mask, kernel, iterations=1)
mask=cv2.dilate(mask, kernel, iterations=3)
return mask