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Realtime OpenCV cat detection and face persistance using a webcam
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import os | |
import cv2 | |
import random | |
cap = cv2.VideoCapture(0) | |
cat_cascade = cv2.CascadeClassifier('haarcascade_frontalcatface.xml') | |
cv2.namedWindow('img') | |
while True: | |
ret, image = cap.read() | |
if not ret: | |
break | |
cat_faces = cat_cascade.detectMultiScale(image) | |
for (x, y, w, h) in cat_faces: | |
cat_crop = image[y:y + h, x:x + w] | |
if cat_crop.size == 0: | |
continue | |
cv2.imwrite(f'data/treated/cat_name/{random.randint(000000000, 999999999)}.jpg', cat_crop) | |
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2) | |
cv2.imshow('img', image) | |
k = cv2.waitKey(1) | |
if k == ord('q'): | |
break | |
cap.release() | |
cv2.destroyAllWindows() |
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