|
|
|
|
| import cv2
|
| def CatchPICFromVideo(catch_num, path_name):
|
| face_cascade = cv2.CascadeClassifier(
|
| cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
|
| camera = cv2.VideoCapture(0+cv2.CAP_DSHOW)
|
| num = 0
|
| while True:
|
| ret, frame = camera.read()
|
| gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
|
| faces = face_cascade.detectMultiScale(gray, 1.1, 5)
|
| for (x, y, w, h) in faces:
|
| img_name = f'{path_name}/{str(num)}.jpg'
|
| image = frame[y:y + h, x:x + w]
|
| print(img_name)
|
| cv2.imwrite(img_name, image)
|
| num += 1
|
| if num > catch_num:
|
| break
|
|
|
| cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)
|
|
|
| font = cv2.FONT_HERSHEY_SIMPLEX
|
| cv2.putText(frame, f'num:{str(num)}', (x + 30, y + 30), font, 1, (255, 0, 255), 4)
|
| if num > catch_num:
|
| break
|
|
|
| cv2.imshow('camera', frame)
|
| if cv2.waitKey(1) & 0xFF == ord('q'):
|
| break
|
| camera.release()
|
| cv2.destroyAllWindows()
|
|
|
|
|
| if __name__ == '__main__':
|
| CatchPICFromVideo(1000 ,'D:\data\others') |
