Update app.py

app.py

@@ -148,7 +148,7 @@ def image_inference(image):
 
     
     if sum(image.shape) == 0:
-        return { 'ErrorFound': 'ImageNotFound' }
+        return image, { 'ErrorFound': 'ImageNotFound' }
     # Convert into grayscale
     # gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
     # Detect faces
@@ -157,7 +157,7 @@ def image_inference(image):
     # Draw rectangle around the faces
     # rawfaces = postProcessed( rawfaces, image.shape[:2] )
     
-    rawfaces = face_recognition.face_locations( image , model="cnn")
+    rawfaces = face_recognition.face_locations( image , model="hog")
     faces = [ image[top:bottom, left:right].copy() for (top, left, bottom, right) 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 ]
@@ -191,7 +191,7 @@ def video_inference(video_path):
         except:
             break
         # rawfaces = postProcessed( rawfaces, image.shape[:2] )
-        rawfaces = face_recognition.face_locations( image , model="cnn")
+        rawfaces = face_recognition.face_locations( image , 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 )