neural network - How to extract image features using caffe matlab wrapper? -

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does use matlab wrapper caffe framework? there way how extract 4096 dimensional feature vector image? following

https://github.com/bvlc/caffe/issues/432

and tried remove last lines in imagenet_deploy.prototxt remove layers suggested in forum on github.

but still when run "matcaffe_demo(im, 1)" 1000 dim vector of scores (for image net classes). appreciated kind regards

it seems might not calling correct prototxt file. if last layer defined in prototxt has top blob of 4096 dimension, there no way output 1000 dimension.

to sure, try creating bug in prototxt file , see whether program crashes. if doesn't program indeed reading other prototxt file.


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