60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
|
import os
|
||
|
|
import sys
|
||
|
|
import time
|
||
|
|
import numpy as np
|
||
|
|
import cv2
|
||
|
|
|
||
|
|
cap = cv2.VideoCapture(0)
|
||
|
|
# cap = cv2.VideoCapture("chien.mp4")
|
||
|
|
|
||
|
|
kernel_blur = 5
|
||
|
|
seuil = 15
|
||
|
|
surface = 1000
|
||
|
|
|
||
|
|
ret, originale = cap.read()
|
||
|
|
originale = cv2.cvtColor(originale, cv2.COLOR_BGR2GRAY)
|
||
|
|
originale = cv2.GaussianBlur(originale, (kernel_blur, kernel_blur), 0)
|
||
|
|
|
||
|
|
kernel_dilate = np.ones((5, 5), np.uint8)
|
||
|
|
|
||
|
|
while True:
|
||
|
|
ret, frame = cap.read()
|
||
|
|
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
|
||
|
|
gray = cv2.GaussianBlur(gray, (kernel_blur, kernel_blur), 0)
|
||
|
|
mask = cv2.absdiff(originale, gray)
|
||
|
|
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:
|
||
|
|
cv2.drawContours(frame_contour, [c], 0, (0, 255, 0), 5)
|
||
|
|
if cv2.contourArea(c) < surface:
|
||
|
|
continue
|
||
|
|
x, y, w, h = cv2.boundingRect(c)
|
||
|
|
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)
|
||
|
|
originale = gray
|
||
|
|
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("contour", frame_contour)
|
||
|
|
# 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('i'):
|
||
|
|
surface += 1000
|
||
|
|
if key == ord('k'):
|
||
|
|
surface = max(1000, surface - 1000)
|
||
|
|
if key == ord('o'):
|
||
|
|
seuil = min(255, seuil + 1)
|
||
|
|
if key == ord('l'):
|
||
|
|
seuil = max(1, seuil - 1)
|
||
|
|
|
||
|
|
cap.release()
|
||
|
|
cv2.destroyAllWindows()
|