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Hi guys,
I'm reading a set of paper which show the kernels inside a feature maps.
And I'm doing a search in google, but I don't find examples about how to implement this.
Someone knows about that?
Thanks!!
Abhimanyu Dubey
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Aug 20, 2015, 11:10:12 AM8/20/15
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Load the model in Python.
net = caffe.Net(protofile,modelfile,phase);
For some layer 'convx', you can access the params as net.params['convx'][0] (for weights) and net.params['convx'][1] for biases.
Antonio Paes
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Aug 20, 2015, 2:10:56 PM8/20/15
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Thanks Abhimanyu Dubey, but i need of something visual, a region of image after the kernel be applied for example.
Sudeep Reddy Gaddam
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Aug 20, 2015, 8:41:16 PM8/20/15
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Even I am looking for what Matthew Zeiler has explained in his talk( https://www.youtube.com/watch?v=ghEmQSxT6tw ). Is any such thing implemented on top of Caffe?? It would be highly useful.
Thanks, Sudeep.
Antonio Paes
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Aug 20, 2015, 9:32:35 PM8/20/15
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This video is good, but is "more of the same", I wanted something implemented with caffe too.
Abhimanyu Dubey
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Aug 24, 2015, 2:10:40 AM8/24/15
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You can plot the blobs after a forward pass using matplotlib.
Manuel Rodriguez
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Aug 24, 2015, 8:55:25 AM8/24/15
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Am Montag, 24. August 2015 08:10:40 UTC+2 schrieb Abhimanyu Dubey: > You can plot the blobs after a forward pass using matplotlib.