patch: emotion dimension.

deepface/models/demography/Emotion.py

@@ -72,14 +72,7 @@ def predict(self, img: Union[np.ndarray, List[np.ndarray]]) -> np.ndarray:
         # Preprocessing input image or image list.
         imgs = self._preprocess_batch_or_single_input(img)
 
-        if imgs.shape[0] == 1:
-            # Preprocess single image and add channel dimension for grayscale images
-            processed_imgs = np.expand_dims(np.array([self._preprocess_image(img) for img in imgs]), axis=0)
-        else:
-            # Preprocess batch of images and add channel dimension for grayscale images
-            processed_imgs = np.expand_dims(np.array([self._preprocess_image(img) for img in imgs]), axis=-1)
-            # Reshape input for model (expected shape=(n, 48, 48, 1)), where n is the batch size
-            processed_imgs = processed_imgs.reshape(processed_imgs.shape[0], 48, 48, 1)
+        processed_imgs = np.expand_dims(np.array([self._preprocess_image(img) for img in imgs]), axis=-1)
 
         # Prediction
         predictions = self._predict_internal(processed_imgs)