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BaseServer breaking because data is persisted in self.input_ops #26

@andrazvonar

Description

@andrazvonar

I've copied example code into the function below in order to embed faces. I'm calling it from a for loop.

It works fine in the first iteration, but breaks in the second.

def embed_face(face):    
    # Read example image
    test_img = face
    test_img = cv2.resize(test_img, configs.face_describer_tensor_shape)

# Define input tensors feed to session graph
dropout_rate = 1.0
input_data = [np.expand_dims(test_img, axis=0), dropout_rate]

# Define a Base Server
srv = base_server.BaseServer(model_fp='/Users/andraz/Documents/šola/diploma/tf-insightface/pretrained/insightface.pb',
                             input_tensor_names=configs.face_describer_input_tensor_names,
                             output_tensor_names=configs.face_describer_output_tensor_names,
                             device=configs.face_describer_device)
# Run prediction
prediction = srv.inference(data=input_data)


# Print results
return prediction

The error I am getting

    ---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-14-61ed406b99dc> in <module>
     21 
     22             # Embed faceial features
---> 23             embedded_face = embed_face(cropped_face)
     24             print("Embedded face")

<ipython-input-12-9bc850f211fc> in embed_face(face)
     25                                  device=configs.face_describer_device)
     26     # Run prediction
---> 27     prediction = srv.inference(data=input_data)
     28 
     29     del srv

~/Documents/šola/diploma/tf-insightface/models/base_server.py in inference(self, data)
     73 
     74         with self.graph.as_default():
---> 75             self._set_feed_dict(data=data)
     76             print('[Base Server] Running inference...')
     77             self.prediction = self.session.run(self.output_ops, feed_dict=self.feed_dict)

~/Documents/šola/diploma/tf-insightface/models/base_server.py in _set_feed_dict(self, data)
     62 
     63     def _set_feed_dict(self, data):
---> 64         assert len(data) == len(self.input_ops)
     65         with self.graph.as_default():
     66             print(self.input_ops)

AssertionError: 

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