An example of extracting image features from VGG network on Caffe
These source code (python and scripts) are used on Caffe to extracting image features from the last full-connected layer of VGG
VGG Download:
name: 16-layer model from the arXiv paper: "Very Deep Convolutional Networks for Large-Scale Image Recognition"
caffemodel: VGG_ILSVRC_16_layers
caffemodel_url: http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_16_layers.caffemodel
license: see http://www.robots.ox.ac.uk/~vgg/research/very_deep/
caffe_version: trained using a custom Caffe-based framework
gist_id: 211839e770f7b538e2d8