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Hello,
I am using gcc 4.7 and g++ 4.7. and Matlab version Matlab2016a. They are compatible with making the mex files.
I used the command vl_compilenn to compile the files in Matlab folder and mak…
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I run this code in my laptop with GeForce GT 720M:
vl_compilenn('enableGpu', true, 'cudaRoot', 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.5','cudaMethod', 'nvcc')
but it get this error:
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" I am unable to give the codes for the normal cross-modal operations due to license issues. " Can not we experiment with the code you provided?
PS:Can you share the .mat data used in the experiment…
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Hi, Jiangtao.
I was trying to run your example code of training on imagenet from scratch on Ubuntu 14.04, MATLAB R2017a, CUDA8.0 and cudnn v4. But I have encountered the following error when I run …
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I trained the alexNet, But the result is a little lower than the paper said, about 0.02(success plot)!
In addition, How can I select gray training mode?
![Uploading image.png…]()
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when I uncomment and modify some lines in gpu_compile.m and run it in Matlab. I find error and I don't know how to solve this problem.
`
>>gpu_compile
Error using vl_compilenn
Too many output argu…
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Hi!
First of all thank you for this great library! :-)
I've got a fairly small model (18 layers) for real-time applications, basically mainly consisting of 5 blocks of Conv2D/ReLu/MaxPool2D, and i…
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In the training state, DCFNet use the target and the search image as input and the center gaussion label(then move to the left-top). Will it better if we generate gaussion label according to the posit…
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Hi,
good work as always : )
The speed of CFNet-conv2 reported in the paper is 75 fps. But when I evaluate this model in OTB-2013, it ran less than 3 fps. I am using NVIDIA GTX 1080, cuda 8.0, …
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请问 imagenet-vgg-m-2048-cut.mat在哪里下载?