add return shape introduction

README.md

@@ -41,6 +41,7 @@ The Operator returns a tuple `Tuple[('feature_vector', numpy.ndarray)]` containi
 - feature_vector:
   - the embedding of the image
   - data type: `numpy.ndarray`
+  - shape: (dim,)
 
 ## Requirements
 

pytorch/model.py

@@ -32,8 +32,7 @@ class Model():
 
     def __call__(self, img_tensor: torch.Tensor):
         features = self._model.extract_features(img_tensor)
-        channels = features.shape[0]
-        return self._avg_pooling(features).view(channels, -1).detach().numpy()
+        return self._avg_pooling(features).flatten().detach().numpy()
 
     def train(self):
         """