├── Caffe ├── CaffeInference.py ├── Createlmdb.py ├── caffeTraining.py ├── ms_emotion.py ├── solver.prototxt ├── test_100_mean.binaryproto └── train_500_mean.binaryproto ├── MCV_query.py ├── README.md ├── featurefool └── README.md ├── generate_fake_dataset.py ├── imagenet_mean_227.binaryproto ├── optimize.py ├── pre_trained network ├── alexnet │ ├── alexnet_deploy.prototxt │ ├── alexnet_solver.prototxt │ ├── alexnet_train_val.prototxt │ └── deploy.prototxt ├── resnet50 │ ├── ResNet-50-deploy.prototxt │ ├── ResNet_mean.binaryproto │ ├── resnet50_solver.prototxt │ └── resnet50_train_val.prototxt └── vgg19 │ ├── VGG_ILSVRC_19_layers_deploy.prototxt │ ├── VGG_ILSVRC_19_layers_train_val.prototxt │ ├── train_command.sh │ └── vgg19_solver.prototxt ├── readTrafficSigns.py ├── rename_image_file.py ├── test_optimize.ipynb ├── test_optimize.py ├── tmp.prototxt └── utils.py /Caffe/CaffeInference.py: -------------------------------------------------------------------------------- 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