├── Makefile ├── README.md ├── include └── caffe │ ├── blob.hpp │ ├── caffe.hpp │ ├── common.hpp │ ├── data_transformer.hpp │ ├── filler.hpp │ ├── layer.hpp │ ├── layer_factory.hpp │ ├── layers │ ├── activation │ │ ├── bias_layer.hpp │ │ ├── box_filter_layer.hpp │ │ ├── crop_layer.hpp │ │ ├── dropout_layer.hpp │ │ ├── elu_layer.hpp │ │ ├── image_resize_layer.hpp │ │ ├── imresize_layer.hpp │ │ ├── interp_layer.hpp │ │ ├── one_hot_layer.hpp │ │ ├── pooling_layer.hpp │ │ ├── relu_layer.hpp │ │ ├── repmat_layer.hpp │ │ ├── reshape_layer.hpp │ │ ├── scale_bias_layer.hpp │ │ ├── sigmoid_layer.hpp │ │ ├── softmax_layer.hpp │ │ └── tanh_layer.hpp │ ├── data │ │ ├── base_data_layer.hpp │ │ ├── data_layer.hpp │ │ ├── image_class_data_layer.hpp │ │ ├── image_face_data_layer.hpp │ │ ├── image_face_label_data_layer.hpp │ │ ├── image_gan_data_layer.hpp │ │ ├── image_seg_data_layer.hpp │ │ ├── image_style_data_layer.hpp │ │ ├── interp_data_layer.hpp │ │ ├── noise_layer.hpp │ │ ├── slow_beauty_layer.hpp │ │ └── slow_style_data_layer.hpp │ ├── func │ │ ├── channel_reduction_layer.hpp │ │ ├── concat_layer.hpp │ │ ├── concat_num_layer.hpp │ │ ├── de_concat_layer.hpp │ │ ├── eltwise_layer.hpp │ │ ├── label_sperate_layer.hpp │ │ ├── lambda_layer.hpp │ │ ├── pad_image_layer.hpp │ │ ├── parallel_layer.hpp │ │ ├── rgb_gray_layer.hpp │ │ ├── separate_blob_layer.hpp │ │ ├── shortcut_layer.hpp │ │ ├── silence_layer.hpp │ │ ├── split_layer.hpp │ │ ├── trivial_layer.hpp │ │ └── write_image_layer.hpp │ ├── loss │ │ ├── accuracy_layer.hpp │ │ ├── adapt_softmax_loss_layer.hpp │ │ ├── be_gd_loss_layer.hpp │ │ ├── euclideanloss_layer.hpp │ │ ├── gan_multi_softmax_loss_layer.hpp │ │ ├── gan_softmax_loss_layer.hpp │ │ ├── gd_loss_layer.hpp │ │ ├── gradient_penalty_layer.hpp │ │ ├── max_loss_layer.hpp │ │ ├── multi_softmax_loss_layer.hpp │ │ ├── parse_evaluate_layer.hpp │ │ ├── parse_output_layer.hpp │ │ ├── smooth_l1_loss_layer.hpp │ │ ├── softmax_loss_layer.hpp │ │ ├── styleloss_layer.hpp │ │ ├── tv_loss_layer.hpp │ │ ├── w2_gd_loss_layer.hpp │ │ └── w_gd_loss_layer.hpp │ ├── old │ │ ├── be_loss_layer.hpp │ │ ├── channel_reduction_layer.hpp │ │ ├── combine_second_conv_layer.hpp │ │ ├── condition_filter_layer.hpp │ │ ├── context_pooling_layer.hpp │ │ ├── entropy_mask_layer.hpp │ │ ├── fixed_conv_layer.hpp │ │ ├── gate_layer.hpp │ │ ├── generate_mask_layer.hpp │ │ ├── mask_out_layer.hpp │ │ ├── parallel_collect_layer.hpp │ │ ├── parallel_distribute_layer.hpp │ │ ├── project_layer.hpp │ │ ├── random_select_layer.hpp │ │ ├── same_max_pooling_layer.hpp │ │ ├── second_conv_layer.hpp │ │ ├── shortcut_channel_layer.hpp │ │ ├── softmax_cross_entropy_loss_layer.hpp │ │ ├── softmax_loss_boost_layer.hpp │ │ ├── stuff_object_forward_layer.hpp │ │ ├── stuff_object_layer.hpp │ │ ├── style_per_loss_layer.hpp │ │ └── transfer_batch_norm_layer.hpp │ └── operator │ │ ├── batch_norm_layer.hpp │ │ ├── batch_scale_layer.hpp │ │ ├── channel_normalize_layer.hpp │ │ ├── conv_layer.hpp │ │ ├── covariance_layer.hpp │ │ ├── cudnn_batch_norm_layer.hpp │ │ ├── cudnn_conv_layer.hpp │ │ ├── cudnn_deconv_layer.hpp │ │ ├── deconv_layer.hpp │ │ ├── guided_crf_layer.hpp │ │ ├── inner_product_layer.hpp │ │ ├── instance_cudnn_batch_norm_layer.hpp │ │ ├── mean_variance_layer.hpp │ │ ├── multi_conv_layer.hpp │ │ ├── normalize_layer.hpp │ │ ├── parallel_batch_norm_layer.hpp │ │ ├── param_cudnn_conv_layer.hpp │ │ └── param_cudnn_deconv_layer.hpp │ ├── net.hpp │ ├── solver.hpp │ ├── solvers │ ├── solver_cnn.hpp │ ├── solver_gan.hpp │ └── solver_sec_gan.hpp │ ├── syncedmem.hpp │ ├── test │ └── test_gradient_check_util.hpp │ └── util │ ├── benchmark.hpp │ ├── cudnn.hpp │ ├── db.hpp │ ├── device_alternate.hpp │ ├── format.hpp │ ├── im2col.hpp │ ├── io.hpp │ ├── math_functions.hpp │ ├── mkl_alternate.hpp │ └── rng.hpp ├── matlab ├── city_seg_colormap.mat ├── demo.m ├── invmappings.mat ├── matcaffe.cpp ├── matcaffe_fcn.m ├── pad_image_16.m └── prototxt │ └── deploy_resnet_101_16x_v0.prototxt ├── src ├── caffe │ ├── blob.cpp │ ├── common.cu │ ├── data_transformer.cpp │ ├── layer.cu │ ├── layers │ │ ├── activation │ │ │ ├── bias_layer.cpp │ │ │ ├── bias_layer.cu │ │ │ ├── box_filter_layer.cpp │ │ │ ├── box_filter_layer.cu │ │ │ ├── crop_layer.cpp │ │ │ ├── crop_layer.cu │ │ │ ├── dropout_layer.cpp │ │ │ ├── dropout_layer.cu │ │ │ ├── elu_layer.cpp │ │ │ ├── elu_layer.cu │ │ │ ├── image_resize_layer.cpp │ │ │ ├── image_resize_layer.cu │ │ │ ├── imresize_layer.cpp │ │ │ ├── imresize_layer.cu │ │ │ ├── interp_layer.cpp │ │ │ ├── interp_layer.cu │ │ │ ├── one_hot_layer.cpp │ │ │ ├── one_hot_layer.cu │ │ │ ├── pooling_layer.cpp │ │ │ ├── pooling_layer.cu │ │ │ ├── relu_layer.cpp │ │ │ ├── relu_layer.cu │ │ │ ├── repmat_layer.cpp │ │ │ ├── repmat_layer.cu │ │ │ ├── reshape_layer.cpp │ │ │ ├── reshape_layer.cu │ │ │ ├── scale_bias_layer.cpp │ │ │ ├── scale_bias_layer.cu │ │ │ ├── sigmoid_layer.cpp │ │ │ ├── sigmoid_layer.cu │ │ │ ├── softmax_layer.cpp │ │ │ ├── softmax_layer.cu │ │ │ ├── tanh_layer.cpp │ │ │ └── tanh_layer.cu │ │ ├── data │ │ │ ├── base_data_layer.cpp │ │ │ ├── base_data_layer.cu │ │ │ ├── data_layer.cpp │ │ │ ├── image_class_data_layer.cpp │ │ │ ├── image_face_data_layer.cpp │ │ │ ├── image_face_label_data_layer.cpp │ │ │ ├── image_gan_data_layer.cpp │ │ │ ├── image_seg_data_layer.cpp │ │ │ ├── image_style_data_layer.cpp │ │ │ ├── interp_data_layer.cpp │ │ │ ├── interp_data_layer.cu │ │ │ ├── noise_layer.cpp │ │ │ ├── noise_layer.cu │ │ │ ├── slow_beauty_layer.cpp │ │ │ ├── slow_beauty_layer.cu │ │ │ ├── slow_style_data_layer.cpp │ │ │ └── slow_style_data_layer.cu │ │ ├── func │ │ │ ├── channel_reduction_layer.cpp │ │ │ ├── channel_reduction_layer.cu │ │ │ ├── concat_layer.cpp │ │ │ ├── concat_layer.cu │ │ │ ├── concat_num_layer.cpp │ │ │ ├── concat_num_layer.cu │ │ │ ├── de_concat_layer.cpp │ │ │ ├── de_concat_layer.cu │ │ │ ├── eltwise_layer.cpp │ │ │ ├── eltwise_layer.cu │ │ │ ├── label_sperate_layer.cpp │ │ │ ├── label_sperate_layer.cu │ │ │ ├── lambda_layer.cpp │ │ │ ├── lambda_layer.cu │ │ │ ├── pad_image_layer.cpp │ │ │ ├── pad_image_layer.cu │ │ │ ├── parallel_layer.cpp │ │ │ ├── parallel_layer.cu │ │ │ ├── rgb_gray_layer.cpp │ │ │ ├── rgb_gray_layer.cu │ │ │ ├── separate_blob_layer.cpp │ │ │ ├── separate_blob_layer.cu │ │ │ ├── shortcut_layer.cpp │ │ │ ├── shortcut_layer.cu │ │ │ ├── silence_layer.cpp │ │ │ ├── silence_layer.cu │ │ │ ├── split_layer.cpp │ │ │ ├── split_layer.cu │ │ │ ├── trivial_layer.cpp │ │ │ ├── trivial_layer.cu │ │ │ ├── write_image_layer.cpp │ │ │ └── write_image_layer.cu │ │ ├── loss │ │ │ ├── accuracy_layer.cpp │ │ │ ├── accuracy_layer.cu │ │ │ ├── adapt_softmax_loss_layer.cpp │ │ │ ├── adapt_softmax_loss_layer.cu │ │ │ ├── be_gd_loss_layer.cpp │ │ │ ├── be_gd_loss_layer.cu │ │ │ ├── euclideanloss_layer.cpp │ │ │ ├── euclideanloss_layer.cu │ │ │ ├── gan_multi_softmax_loss_layer.cpp │ │ │ ├── gan_multi_softmax_loss_layer.cu │ │ │ ├── gan_softmax_loss_layer.cpp │ │ │ ├── gan_softmax_loss_layer.cu │ │ │ ├── gd_loss_layer.cpp │ │ │ ├── gd_loss_layer.cu │ │ │ ├── gradient_penalty_layer.cpp │ │ │ ├── gradient_penalty_layer.cu │ │ │ ├── max_loss_layer.cpp │ │ │ ├── max_loss_layer.cu │ │ │ ├── multi_softmax_loss_layer.cpp │ │ │ ├── multi_softmax_loss_layer.cu │ │ │ ├── parse_evaluate_layer.cpp │ │ │ ├── parse_evaluate_layer.cu │ │ │ ├── parse_output_layer.cpp │ │ │ ├── parse_output_layer.cu │ │ │ ├── smooth_l1_loss_layer.cpp │ │ │ ├── smooth_l1_loss_layer.cu │ │ │ ├── softmax_loss_layer.cpp │ │ │ ├── softmax_loss_layer.cu │ │ │ ├── styleloss_layer.cpp │ │ │ ├── styleloss_layer.cu │ │ │ ├── tv_loss_layer.cpp │ │ │ ├── tv_loss_layer.cu │ │ │ ├── w2_gd_loss_layer.cpp │ │ │ ├── w2_gd_loss_layer.cu │ │ │ ├── w_gd_loss_layer.cpp │ │ │ └── w_gd_loss_layer.cu │ │ └── operator │ │ │ ├── batch_norm_layer.cpp │ │ │ ├── batch_norm_layer.cu │ │ │ ├── batch_scale_layer.cpp │ │ │ ├── batch_scale_layer.cu │ │ │ ├── channel_normalize_layer.cpp │ │ │ ├── channel_normalize_layer.cu │ │ │ ├── conv_layer.cpp │ │ │ ├── conv_layer.cu │ │ │ ├── covariance_layer.cpp │ │ │ ├── covariance_layer.cu │ │ │ ├── cudnn_batch_norm_layer.cpp │ │ │ ├── cudnn_batch_norm_layer.cu │ │ │ ├── cudnn_conv_layer.cpp │ │ │ ├── cudnn_conv_layer.cu │ │ │ ├── cudnn_deconv_layer.cpp │ │ │ ├── cudnn_deconv_layer.cu │ │ │ ├── deconv_layer.cpp │ │ │ ├── deconv_layer.cu │ │ │ ├── guided_crf_layer.cpp │ │ │ ├── guided_crf_layer.cu │ │ │ ├── inner_product_layer.cpp │ │ │ ├── inner_product_layer.cu │ │ │ ├── instance_cudnn_batch_norm_layer.cpp │ │ │ ├── instance_cudnn_batch_norm_layer.cu │ │ │ ├── mean_variance_layer.cpp │ │ │ ├── mean_variance_layer.cu │ │ │ ├── multi_conv_layer.cpp │ │ │ ├── multi_conv_layer.cu │ │ │ ├── normalize_layer.cpp │ │ │ ├── normalize_layer.cu │ │ │ ├── parallel_batch_norm_layer.cpp │ │ │ ├── parallel_batch_norm_layer.cu │ │ │ ├── param_cudnn_conv_layer.cpp │ │ │ ├── param_cudnn_conv_layer.cu │ │ │ ├── param_cudnn_deconv_layer.cpp │ │ │ └── param_cudnn_deconv_layer.cu │ ├── net.cpp │ ├── net.cu │ ├── proto │ │ ├── caffe.pb.cc │ │ ├── caffe.pb.h │ │ └── caffe.proto │ ├── solver.cpp │ ├── solvers │ │ ├── solver_cnn.cpp │ │ ├── solver_gan.cpp │ │ └── solver_sec_gan.cpp │ ├── syncedmem.cu │ └── util │ │ ├── benchmark.cpp │ │ ├── cudnn.cpp │ │ ├── db.cpp │ │ ├── im2col.cpp │ │ ├── im2col.cu │ │ ├── io.cpp │ │ ├── math_functions.cpp │ │ └── math_functions.cu └── gtest │ ├── gtest-all.cpp │ ├── gtest.h │ └── test_caffe_main.cpp └── tools ├── caffe.cpp └── convert_imageset.cpp /Makefile: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shenfalong/SegModel/HEAD/Makefile -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shenfalong/SegModel/HEAD/README.md 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