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Hi filip, your code is written very elegant and with amazing performance. But I recommend you to use Pytorch or tensorflow for your future work. Since matconvnet is not friendly to quickly use and dev…
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Error using vl_nnconv
An input is not a numeric array (or GPU support not compiled).
Error in dagnn.Conv/forward (line 11)
outputs{1} = vl_nnconv(...
Error in dagnn.Layer/forwardAdvanced…
yanxp updated
6 years ago
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Great job!
1.the mat file is not imagenet-vgg-verydeep-16.mat but the imagenet-vgg-m.mat, you can download in
http://www.vlfeat.org/matconvnet/models/imagenet-vgg-m.mat
2. The cpu version doesn'…
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matlab version: 2015b
GPU: GTX 1080TI
CUDA: 7.0
cudnn: 4.0
`nvcc fatal : Unsupported gpu architecture 'compute_61'`
it seems like cuda7.0 doesn't support my GPU
=======================…
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Hi,
I am having trouble compiling MatConvNet with cuDNN option. It fails to compile 'nnconv_cudnn.cu'. I am using windows 7 platform with Matlab R2017a version and CUDA v8.0. I have copied the detail…
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I noticed that when I run faster rcnn on large images, the algorithm resizes it into smaller dimensions, leading to a deterioration in image quality and failure of the object detect algorithm. More sp…
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In training process, we found that 'vl_nnspp' function is called but there is no content in WSDDN/layers/matlab/vl_nnspp.m. Maybe we can compile vl_nnspp.cu into a mex file. Is it right and how can w…
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Hi, using matconvnet beta 20 I cannot get the code to run properly.
Issue 1: the pathing is all screwed up in terms of where you need to be, currently, to run the code properly. I've kind of hacked …
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Hi,
I am using your code and my environment is:
- ubuntu 16.04
- matlab R2017b
- matconvnet 1.0-beta25 compiled with option _'enableGpu'_ and _'cudaRoot'_ is CUDA-8.0.
I got following err…
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Hi, I found that when I remove these words "im_l = imresize(im_gt,1/up_scale,'bicubic');" to test my LR image ,it goes wrong,how to deal with it ?Hoping for your reply,thank you first.