Segnet & Pycaffe - Displaying Feature Maps at Each Layer

[Ish N.]

Hello,

I have studied the segnet turorial here:

http://mi.eng.cam.ac.uk/projects/segnet/tutorial.html

And have found that during testing you can display the output images using the test_segmentation_camvid.py python script. I can see its use of pycaffe commands like net.forward() however is there a command (or combination of commands) to do a forward pass through the net, layer by layer, during testing (or even during training) rather than through the full net at once?

I would like to display the output (feature maps) at each layer rather than just at the end of a forward pass.

I would really appreciate any assistance or anyone pointing me in the right direction.

Thank you!

[Evan Shelhamer]

Our notebook example on inference and visualization demonstrations how to access and plot different layer outputs: http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/00-classification.ipynb

Evan Shelhamer

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