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| import cv2 | |
| def censor_face(filePath): | |
| output_file = 'censored_' + filePath | |
| video=cv2.VideoCapture(filePath) | |
| success, frame = video.read() | |
| height = frame.shape[0] | |
| width = frame.shape[1] | |
| face_cascade=cv2.CascadeClassifier('XML\faces.xml') | |
| output=cv2.VideoWriter('censored_' + filePath, cv2.VideoWriter_fourcc(*'mp4v'), 30, (width, height)) | |
| while success: | |
| faces = face_cascade.detectMultiScale(frame, 1.1, 4) | |
| for (x,y, w, h) in faces: #multiple faces in a video | |
| frame[y:y+h, x:x+w] = cv2.blur(frame[y:y+h, x:x+w], (150, 150)) | |
| output.write(frame) | |
| success, frame = video.read() | |
| output.release() | |
| return output_file |