How to use VGG-S and how to extract output features by it?
4 views (last 30 days)
Show older comments
Hi everyone,
In deep learning there are many model of convolution neural network CNN. To try VGG-S model, I download "imagenet-vgg-s.mat" from here and I try it by this code to extract the output feature from 2nd fully connected layer:
net = load('./Model/imagenet-vgg-s.mat');
layer = net.layers{1,18}.name;
outputFeatures = activations(net,Img,layer);
but this error shown:
_ *Undefined function 'activations' for input arguments of type 'struct'.
Error in Project (line 31)
outputFeatures = activations(net,Img,layer);*_
So I download prototxt and caffe model of it "VGG_CNN_S.caffemodel" and "VGG_CNN_S_deploy.prototxt" from this link here . I try it by this code
protofile = './model/ VGG_CNN_S_deploy.prototxt ';
datafile = './model/ VGG_CNN_S.caffemodel ';
net = importCaffeNetwork(protofile, datafile);
but this error is shown:
* _Error using
nnet.internal.cnn.caffe.CaffeModelReader/checkIfPoolingLayerOutputSizeMatchesCaffe
(line 1081)
The pooling layer 'pool1' is not compatible with MATLAB. Caffe computes the output
size as [37 37 96] but MATLAB computes it as [36 36 96].
Error in nnet.internal.cnn.caffe.CaffeModelReader/makePoolingLayer (line 928)
checkIfPoolingLayerOutputSizeMatchesCaffe(this, inputSize, internalLayer);
Error in nnet.internal.cnn.caffe.CaffeModelReader/importLayers (line 257)
[layers(layerIdx), internalLayer, outputSize] =
makePoolingLayer(this, origLayerIdxInFile, outputSize);
Error in nnet.internal.cnn.caffe.CaffeModelReader/importSeriesNetwork (line 310)
layers = importLayers(this);
Error in importCaffeNetwork (line 82)
network = importSeriesNetwork(readerObj);_*
Could you help me how to use VGG-S and how to extract output features by it?
0 Comments
Answers (0)
See Also
Categories
Find more on Deep Learning Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!