debug

faceAnalysis.py

@@ -5,7 +5,9 @@ import cv2
 from utils import *
 from config import emotions, input_shape, modelName
 
-model = keras.models.load_model("models/"+modelName)	#Load our model
+#model = tf.keras.models.load_model("models/"+modelName)	#Load our model
+model = tf.saved_model.load("models/"+modelName)
+
 print('Model used:', modelName)
 
 def detectEmotion(face):

game.py

@@ -17,11 +17,6 @@ def smileyRandom(emotionToDodge):
     smiley = cv2.imread(smileyImagePath)
     return smiley, emotion
 
-
-
-ismain = __name__ == "__main__"
-if ismain:
-
 smiley, emotion = smileyRandom("")
 
 while cap.isOpened():		 #or while 1. cap.isOpened() is false if there is a problem

utils.py

@@ -18,8 +18,8 @@ def afficher(image):
 
 def predir(modele, image):
     # Return output of image from modele
-    return modele.predict(np.array([image]))[0, :]
-
+    #return modele.predict(np.array([image]))[0, :]
+    return modele(np.array([image]))[0, :]
 
 def normAndResize(image, input_shape):
     # For an array image of shape (a,b,c) or (a,b), transform it into (h,l,p). Also normalize it.