Update app.py

app.py

@@ -173,17 +173,14 @@ def image_inference(image):
     # faces_mean = [ x.mean() for x in faces ]
     rawfaces = DeepFace.extract_faces( image )
     faces = [ x['face'] for x in  rawfaces]
+    rawfaces = [ (x['facial_area']['x'], x['facial_area']['y'], x['facial_area']['w'], x['facial_area']['h']) for x in rawfaces ]
     # faces = [ image[x:w+x, y:h+y].copy() for (x, y, w, h) in rawfaces ]
     faces = [ Image.fromarray(x, mode = 'RGB') for x in faces ]
     ages, genders, beards, blurs, ethncities, masks = AnalysisFeatures( faces )
 
     annotatedImage = image.copy()
-    for x in rawfaces:
-        x = x['facial_area']
-        top, left, bottom, right = x['x'], x['y'], x['w'], x['h']
-        bottom += top
-        right += left
-        cv2.rectangle(annotatedImage, (top, bottom), (left, right), (255, 0, 0), 5)
+    for (x, y, w, h) in rawfaces:
+        cv2.rectangle(annotatedImage, (x, x+w), (y, y+h), (255, 0, 0), 5)
 
     return Image.fromarray(annotatedImage, mode = 'RGB'), frameWrapper( rawfaces, ages, genders, beards, blurs, ethncities, masks )
     # return frameWrapper( rawfaces, ages, genders, beards, blurs, ethncities, masks )