Update predict_model.py

predict_model.py

@@ -8,7 +8,7 @@ def run(in_image):
     model = tf.keras.models.load_model('autoencoder-gray2color.keras')
     #in_image = cv2.imread(im_path)
     height, width, channels = in_image.shape
-    in_image = cv2.cvtColor(in_image, cv2.COLOR_BGR2GRAY)
+    # in_image = cv2.cvtColor(in_image, cv2.COLOR_BGR2GRAY)
     in_image = cv2.resize(in_image, (160, 160))
     in_image = in_image.astype('float32') / 255.0
     predicted = np.clip(model.predict(in_image.reshape(1,160, 160,3)),0.0,1.0).reshape(160, 160,3)