TensorFlow, how to look inside 'blob', the response in through CNN

You can use session.run to get the current values of elements in your computation graph.

layer7_values = session.run(layer7_tf, feed_dict={<your inputs>})

In this example session is a tf.Session() object. layer7_tf is a reference to the Tensor output of a layer in the TensorFlow model, and layer7_values will contain the layer values for the given input as a numpy array.

To get a handle to layer7_tf, you have a couple of options. You can either modify TensorFace/vggface/init.py to return a reference to the appropriate layer; or you can explore the session.graph_def structure to find the name of the node that corresponds to that tensor, and pass the string name of the tensor (e.g. layer7_tf/foo/bar:0, where the :0 corresponds to the 0th output of the op called layer7_tf/foo/bar) to session.run() instead.

Oh.. I think I found solution.

Just removing some lines in TensorFace/vggface/init.py

# (37): nn.ReLU# (38): nn.Dropout(0.500000)# (39): nn.Linear(4096 -> 2622)#self.layers.append(('linear','39',2622,False))# (40): nn.SoftMax#self.layers.append(('softmax'))

looks working