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Update Face_Censoring.py
Browse files- Face_Censoring.py +8 -5
Face_Censoring.py
CHANGED
@@ -2,6 +2,11 @@ import cv2
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import streamlit as st
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import tempfile
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def censor_face(filePath):
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output_file = 'Output\censored_' + str(filePath.name)
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@@ -13,15 +18,13 @@ def censor_face(filePath):
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width = frame.shape[1]
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print(height, width)
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tfile2 = tempfile.NamedTemporaryFile(delete=False)
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tfile2.write(face_cascade.read("XML\faces.xml"))
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output=cv2.VideoWriter(output_file, cv2.VideoWriter_fourcc(*'mp4v'), 30, (width, height))
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while success:
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faces =
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for (x,y, w, h) in faces: #multiple faces in a video
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frame[y:y+h, x:x+w] = cv2.blur(frame[y:y+h, x:x+w], (150, 150))
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output.write(frame)
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import streamlit as st
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import tempfile
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#load models
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face_cascade=cv2.CascadeClassifier('XML\faces.xml')
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#tfile2 = tempfile.NamedTemporaryFile(delete=False)
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#tfile2.write(face_cascade.read("XML\faces.xml"))
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def censor_face(filePath):
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output_file = 'Output\censored_' + str(filePath.name)
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width = frame.shape[1]
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print(height, width)
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gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
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output=cv2.VideoWriter(output_file, cv2.VideoWriter_fourcc(*'mp4v'), 30, (width, height))
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while success:
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faces = face_cascade.detectMultiScale(gray, 1.1, 4)
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for (x,y, w, h) in faces: #multiple faces in a video
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frame[y:y+h, x:x+w] = cv2.blur(frame[y:y+h, x:x+w], (150, 150))
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output.write(frame)
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