├── .gitignore ├── README.md ├── extractCNN_VGG_Face.m ├── matconvnet-1.0-beta17 ├── .gitattributes ├── .gitignore ├── .gitmodules ├── COPYING ├── Makefile ├── Makefile.mex ├── Makefile.nvcc ├── README.md ├── doc │ ├── Makefile │ ├── blocks.tex │ ├── figures │ │ ├── imnet.pdf │ │ ├── pepper.pdf │ │ └── svg │ │ │ ├── conv.svg │ │ │ ├── convt.svg │ │ │ ├── matconvnet-blue.svg │ │ │ └── matconvnet-white.svg │ ├── fundamentals.tex │ ├── geometry.tex │ ├── impl.tex │ ├── intro.tex │ ├── matconvnet-manual.tex │ ├── matdoc.py │ ├── matdocparser.py │ ├── references.bib │ ├── site │ │ ├── docs │ │ │ ├── about.md │ │ │ ├── css │ │ │ │ └── fixes.css │ │ │ ├── developers.md │ │ │ ├── faq.md │ │ │ ├── functions.md │ │ │ ├── gpu.md │ │ │ ├── index.md │ │ │ ├── install-alt.md │ │ │ ├── install.md │ │ │ ├── js │ │ │ │ ├── mathjaxhelper.js │ │ │ │ └── toggle.js │ │ │ ├── pretrained.md │ │ │ ├── quick.md │ │ │ ├── training.md │ │ │ └── wrappers.md │ │ ├── mkdocs.yml │ │ └── theme │ │ │ ├── base.html │ │ │ ├── content.html │ │ │ ├── css │ │ │ └── base.css │ │ │ ├── js │ │ │ └── base.js │ │ │ ├── matconvnet-blue.svg │ │ │ ├── nav.html │ │ │ └── toc.html │ └── wrappers.tex ├── examples │ ├── cifar │ │ ├── cnn_cifar.m │ │ ├── cnn_cifar_init.m │ │ └── cnn_cifar_init_nin.m │ ├── cnn_train.m │ ├── cnn_train_dag.m │ ├── imagenet │ │ ├── cnn_imagenet.m │ │ ├── cnn_imagenet_camdemo.m │ │ ├── cnn_imagenet_deploy.m │ │ ├── cnn_imagenet_evaluate.m │ │ ├── cnn_imagenet_get_batch.m │ │ ├── cnn_imagenet_googlenet.m │ │ ├── cnn_imagenet_init.m │ │ ├── cnn_imagenet_minimal.m │ │ ├── cnn_imagenet_setup_data.m │ │ └── cnn_imagenet_sync_labels.m │ ├── mnist │ │ ├── cnn_mnist.m │ │ ├── cnn_mnist_experiments.m │ │ └── cnn_mnist_init.m │ └── vggfaces │ │ └── cnn_vgg_faces.m ├── matconvnet.sln ├── matconvnet.vcxproj ├── matconvnet.vcxproj.filters ├── matconvnet.xcodeproj │ ├── project.pbxproj │ ├── project.xcworkspace │ │ └── contents.xcworkspacedata │ └── xcshareddata │ │ └── xcschemes │ │ ├── matconv CPU.xcscheme │ │ ├── matconv GPU.xcscheme │ │ └── matconv cuDNN.xcscheme ├── matlab │ ├── +dagnn │ │ ├── @DagNN │ │ │ ├── DagNN.m │ │ │ ├── addLayer.m │ │ │ ├── eval.m │ │ │ ├── fromSimpleNN.m │ │ │ ├── getVarReceptiveFields.m │ │ │ ├── getVarSizes.m │ │ │ ├── initParams.m │ │ │ ├── loadobj.m │ │ │ ├── move.m │ │ │ ├── print.m │ │ │ ├── rebuild.m │ │ │ ├── removeLayer.m │ │ │ ├── renameVar.m │ │ │ ├── reset.m │ │ │ ├── saveobj.m │ │ │ ├── setLayerInputs.m │ │ │ ├── setLayerOutputs.m │ │ │ └── setLayerParams.m │ │ ├── BatchNorm.m │ │ ├── Concat.m │ │ ├── Conv.m │ │ ├── ConvTranspose.m │ │ ├── Crop.m │ │ ├── DropOut.m │ │ ├── ElementWise.m │ │ ├── Filter.m │ │ ├── LRN.m │ │ ├── Layer.m │ │ ├── Loss.m │ │ ├── NormOffset.m │ │ ├── Pooling.m │ │ ├── ReLU.m │ │ ├── Sigmoid.m │ │ ├── SoftMax.m │ │ ├── SpatialNorm.m │ │ └── Sum.m │ ├── compatibility │ │ └── parallel │ │ │ └── gather.m │ ├── simplenn │ │ ├── vl_simplenn.m │ │ ├── vl_simplenn_diagnose.m │ │ ├── vl_simplenn_display.m │ │ ├── vl_simplenn_move.m │ │ └── vl_simplenn_tidy.m │ ├── src │ │ ├── bits │ │ │ ├── data.cpp │ │ │ ├── data.cu │ │ │ ├── data.hpp │ │ │ ├── datacu.cu │ │ │ ├── datacu.hpp │ │ │ ├── datamex.cpp │ │ │ ├── datamex.cu │ │ │ ├── datamex.hpp │ │ │ ├── impl │ │ │ │ ├── blashelper.hpp │ │ │ │ ├── bnorm.hpp │ │ │ │ ├── bnorm_cpu.cpp │ │ │ │ ├── bnorm_gpu.cu │ │ │ │ ├── copy.hpp │ │ │ │ ├── copy_cpu.cpp │ │ │ │ ├── copy_gpu.cu │ │ │ │ ├── fast_mutex.h │ │ │ │ ├── im2row.hpp │ │ │ │ ├── im2row_cpu.cpp │ │ │ │ ├── im2row_gpu.cu │ │ │ │ ├── imread_gdiplus.cpp │ │ │ │ ├── imread_helpers.hpp │ │ │ │ ├── imread_libjpeg.cpp │ │ │ │ ├── imread_quartz.cpp │ │ │ │ ├── nnbias_blas.hpp │ │ │ │ ├── nnbias_cudnn.cu │ │ │ │ ├── nnbias_cudnn.hpp │ │ │ │ ├── nnconv_blas.hpp │ │ │ │ ├── nnconv_cudnn.cu │ │ │ │ ├── nnconv_cudnn.hpp │ │ │ │ ├── nnpooling_cudnn.cu │ │ │ │ ├── nnpooling_cudnn.hpp │ │ │ │ ├── normalize.hpp │ │ │ │ ├── normalize_cpu.cpp │ │ │ │ ├── normalize_gpu.cu │ │ │ │ ├── pooling.hpp │ │ │ │ ├── pooling_cpu.cpp │ │ │ │ ├── pooling_gpu.cu │ │ │ │ ├── subsample.hpp │ │ │ │ ├── subsample_cpu.cpp │ │ │ │ ├── subsample_gpu.cu │ │ │ │ ├── tinythread.cpp │ │ │ │ └── tinythread.h │ │ │ ├── imread.hpp │ │ │ ├── mexutils.h │ │ │ ├── nnbias.cpp │ │ │ ├── nnbias.cu │ │ │ ├── nnbias.hpp │ │ │ ├── nnbnorm.cpp │ │ │ ├── nnbnorm.cu │ │ │ ├── nnbnorm.hpp │ │ │ ├── nnconv.cpp │ │ │ ├── nnconv.cu │ │ │ ├── nnconv.hpp │ │ │ ├── nnfullyconnected.cpp │ │ │ ├── nnfullyconnected.cu │ │ │ ├── nnfullyconnected.hpp │ │ │ ├── nnnormalize.cpp │ │ │ ├── nnnormalize.cu │ │ │ ├── nnnormalize.hpp │ │ │ ├── nnpooling.cpp │ │ │ ├── nnpooling.cu │ │ │ ├── nnpooling.hpp │ │ │ ├── nnsubsample.cpp │ │ │ ├── nnsubsample.cu │ │ │ └── nnsubsample.hpp │ │ ├── config │ │ │ ├── mex_CUDA_glnxa64.sh │ │ │ ├── mex_CUDA_glnxa64.xml │ │ │ ├── mex_CUDA_maci64.sh │ │ │ └── mex_CUDA_maci64.xml │ │ ├── vl_imreadjpeg.cpp │ │ ├── vl_imreadjpeg.cu │ │ ├── vl_nnbnorm.cpp │ │ ├── vl_nnbnorm.cu │ │ ├── vl_nnconv.cpp │ │ ├── vl_nnconv.cu │ │ ├── vl_nnconvt.cpp │ │ ├── vl_nnconvt.cu │ │ ├── vl_nnnormalize.cpp │ │ ├── vl_nnnormalize.cu │ │ ├── vl_nnpool.cpp │ │ └── vl_nnpool.cu │ ├── vl_argparse.m │ ├── vl_compilenn.m │ ├── vl_imreadjpeg.m │ ├── vl_nnbnorm.m │ ├── vl_nnconcat.m │ ├── vl_nnconv.m │ ├── vl_nnconvt.m │ ├── vl_nncrop.m │ ├── vl_nndropout.m │ ├── vl_nnloss.m │ ├── vl_nnnoffset.m │ ├── vl_nnnormalize.m │ ├── vl_nnnormalizelp.m │ ├── vl_nnpdist.m │ ├── vl_nnpool.m │ ├── vl_nnrelu.m │ ├── vl_nnsigmoid.m │ ├── vl_nnsoftmax.m │ ├── vl_nnsoftmaxloss.m │ ├── vl_nnspnorm.m │ ├── vl_rootnn.m │ ├── vl_setupnn.m │ └── xtest │ │ ├── suite │ │ ├── nnbnorm.m │ │ ├── nnconcat.m │ │ ├── nnconv.m │ │ ├── nnconvt.m │ │ ├── nndropout.m │ │ ├── nnloss.m │ │ ├── nnnormalize.m │ │ ├── nnnormalizelp.m │ │ ├── nnoffset.m │ │ ├── nnpdist.m │ │ ├── nnpool.m │ │ ├── nnrelu.m │ │ ├── nnsigmoid.m │ │ ├── nnsoftmax.m │ │ ├── nnsoftmaxloss.m │ │ ├── nnspnorm.m │ │ └── nntest.m │ │ ├── vl_bench_bnorm.m │ │ ├── vl_bench_imreadjpeg.m │ │ ├── vl_nnbnorm_old.m │ │ ├── vl_test_bnorm.m │ │ ├── vl_test_economic_relu.m │ │ ├── vl_test_gpureset.m │ │ ├── vl_test_imreadjpeg.m │ │ └── vl_testnn.m └── utils │ ├── evaluate_ref_models.m │ ├── get-file.sh │ ├── googlenet_prototxt_patch.diff │ ├── import-caffe.py │ ├── import-fcn.sh │ ├── import-googlenet.sh │ ├── import-ref-models.sh │ ├── layers.py │ ├── model2dot.m │ ├── preprocess-imagenet.sh │ ├── proto │ ├── __init__.py │ ├── caffe.proto │ ├── caffe_0115.proto │ ├── caffe_0115_pb2.py │ ├── caffe_6e3916.proto │ ├── caffe_6e3916_pb2.py │ ├── caffe_old.proto │ ├── caffe_old_pb2.py │ ├── caffe_pb2.py │ ├── get-protos.sh │ ├── vgg_caffe.proto │ ├── vgg_caffe_pb2.py │ └── vgg_synset_words.txt │ ├── test_examples.m │ └── tidy_ref_models.m ├── queryInDatabaseDemo.m └── tools ├── extractCNN.m ├── normalize1.m └── retrieval_virsulazation.m /.gitignore: -------------------------------------------------------------------------------- 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