Update Face_Censoring.py

Face_Censoring.py

@@ -2,6 +2,11 @@ import cv2
 import streamlit as st
 import tempfile
 
+#load models
+face_cascade=cv2.CascadeClassifier('XML\faces.xml')
+#tfile2 = tempfile.NamedTemporaryFile(delete=False)
+#tfile2.write(face_cascade.read("XML\faces.xml"))
+
 def censor_face(filePath):
     
     output_file = 'Output\censored_' + str(filePath.name)
@@ -13,15 +18,13 @@ def censor_face(filePath):
     width = frame.shape[1]
 
     print(height, width)
-        
-    face_cascade=cv2.CascadeClassifier('XML\faces.xml')
-    tfile2 = tempfile.NamedTemporaryFile(delete=False)
-    tfile2.write(face_cascade.read("XML\faces.xml"))
+
+    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
     
     output=cv2.VideoWriter(output_file, cv2.VideoWriter_fourcc(*'mp4v'), 30, (width, height))
     
     while success:
-        faces = tfile2.detectMultiScale(frame, 1.1, 4)
+        faces = face_cascade.detectMultiScale(gray, 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)