Create Face_Censoring.py

Face_Censoring.py

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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