szagoruyko / imagenet-validation.torch Goto Github PK
View Code? Open in Web Editor NEWFast and easy testing of imagenet models
Fast and easy testing of imagenet models
Are you using "matio" anywhere in this repo?
I found the line
local matio = require 'matio'
in "main.lua", but couldn't find any other place in the repo where you'd be using it.
Hi Sergey,
I want to finetune the alexnet_torch.t7 model(https://gist.github.com/szagoruyko/dd032c529048492630fc) on a different dataset. Are the input channels to the net RGB, or BGR ? Also, which channels do the mean and std values stored in net.transform() correspond to ?
Thanks
{
mean :
{
1 : 0.48462227599918
2 : 0.45624044862054
3 : 0.40588363755159
}
std :
{
1 : 0.22889466674951
2 : 0.22446679341259
3 : 0.22495548344775
}
}
I was thinking that, for completeness, you may want to train a GoogLeNet as well.
Here's the model.
Hi, Is it possible to make the torch alexnet model public ? I notice that , that model obtains a top-1 accuracy of 56.5% which is closer to the actual alexnet model compared to the ported bvlc_alexnet model which obtains ~54%. This would be very helpful. Thanks!
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