Update app.py

app.py

@@ -157,8 +157,9 @@ def image_inference(image):
     # Draw rectangle around the faces
     # rawfaces = postProcessed( rawfaces, image.shape[:2] )
     
-    rawfaces = face_recognition.face_locations( image, number_of_times_to_upsample = 5 , model="hog")
+    rawfaces = face_recognition.face_locations( image, number_of_times_to_upsample = 1 , model="hog")
     faces = [ image[top:bottom, left:right].copy() for (top, left, bottom, right) in rawfaces ]
+    faces_mean = [ x.mean() for x in faces ]
     # 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 )
@@ -167,7 +168,7 @@ def image_inference(image):
     for (top, left, bottom, right) in rawfaces:
         cv2.rectangle(annotatedImage, (top, left), (left, right), (255, 0, 0), 5)
 
-    return Image.fromarray(annotatedImage, mode = 'RGB'), frameWrapper( rawfaces, ages, genders, beards, blurs, ethncities, masks )
+    return Image.fromarray(annotatedImage, mode = 'RGB'), {'facesLength':len(faces), 'faceMean':faces_mean }#frameWrapper( rawfaces, ages, genders, beards, blurs, ethncities, masks )
     # return frameWrapper( rawfaces, ages, genders, beards, blurs, ethncities, masks )
 def video_inference(video_path):
     
@@ -191,7 +192,7 @@ def video_inference(video_path):
         except:
             break
         # rawfaces = postProcessed( rawfaces, image.shape[:2] )
-        rawfaces = face_recognition.face_locations( image, number_of_times_to_upsample = 5 , model="hog")
+        rawfaces = face_recognition.face_locations( image, number_of_times_to_upsample = 1 , model="hog")
         # Draw rectangle around the faces
         # https://stackoverflow.com/questions/15589517/how-to-crop-an-image-in-opencv-using-python for fliping axis 
         global_facesCo.append( rawfaces )