├── .gitignore ├── AU_intensity_rcnn ├── __init__.py ├── datasets │ ├── AU_dataset.py │ └── __init__.py ├── extensions │ ├── AU_evaluator.py │ ├── __init__.py │ └── special_converter.py ├── links │ ├── __init__.py │ └── model │ │ ├── __init__.py │ │ └── faster_rcnn │ │ ├── __init__.py │ │ ├── faster_rcnn.py │ │ ├── faster_rcnn_mobilenet_v1.py │ │ ├── faster_rcnn_resnet101.py │ │ ├── faster_rcnn_train_chain.py │ │ └── faster_rcnn_vgg.py ├── train.py └── transforms │ ├── __init__.py │ ├── bbox │ ├── __init__.py │ ├── bbox2loc.py │ ├── flip_bbox.py │ ├── loc2bbox.py │ ├── resize_bbox.py │ └── translate_bbox.py │ ├── image │ ├── __init__.py │ ├── center_crop.py │ ├── flip.py │ ├── pca_lighting.py │ ├── random_crop.py │ ├── random_expand.py │ ├── random_flip.py │ ├── random_rotate.py │ ├── resize.py │ ├── resize_contain.py │ ├── scale.py │ └── ten_crop.py │ └── keypoint │ ├── __init__.py │ ├── flip_keypoint.py │ ├── resize_keypoint.py │ └── translate_keypoint.py ├── AU_rcnn ├── __init__.py ├── datasets │ ├── AU_dataset.py │ └── __init__.py ├── extensions │ ├── AU_evaluator.py │ ├── __init__.py │ ├── special_converter.py │ └── speed_evaluator.py ├── legacy │ ├── __init__.py │ └── eval_AU_label_occur.py ├── links │ ├── __init__.py │ └── model │ │ ├── __init__.py │ │ └── faster_rcnn │ │ ├── __init__.py │ │ ├── faster_rcnn.py │ │ ├── faster_rcnn_mobilenet_v1.py │ │ ├── faster_rcnn_resnet101.py │ │ ├── faster_rcnn_train_chain.py │ │ ├── faster_rcnn_vgg16.py │ │ ├── faster_rcnn_vgg19.py │ │ ├── feature_pyramid_network.py │ │ ├── feature_pyramid_train_chain.py │ │ └── utils │ │ ├── __init__.py │ │ ├── anchor_target_creator.py │ │ ├── bbox2loc.py │ │ ├── generate_anchor_base.py │ │ ├── loc2bbox.py │ │ ├── proposal_creator.py │ │ ├── proposal_multi_label.py │ │ └── proposal_target_creator.py ├── speed_test.py ├── train.py ├── transforms │ ├── __init__.py │ ├── bbox │ │ ├── __init__.py │ │ ├── bbox2loc.py │ │ ├── flip_bbox.py │ │ ├── loc2bbox.py │ │ ├── resize_bbox.py │ │ └── translate_bbox.py │ ├── image │ │ ├── __init__.py │ │ ├── center_crop.py │ │ ├── flip.py │ │ ├── pca_lighting.py │ │ ├── random_crop.py │ │ ├── random_expand.py │ │ ├── random_flip.py │ │ ├── random_rotate.py │ │ ├── resize.py │ │ ├── resize_contain.py │ │ ├── scale.py │ │ └── ten_crop.py │ └── keypoint │ │ ├── __init__.py │ │ ├── flip_keypoint.py │ │ ├── resize_keypoint.py │ │ └── translate_keypoint.py ├── updater │ ├── __init__.py │ ├── update_bptt.py │ └── update_bptt_inconsistency_boxnum.py ├── utils │ ├── __init__.py │ ├── bbox │ │ ├── __init__.py │ │ ├── _nms_gpu_post.c │ │ ├── _nms_gpu_post.pyx │ │ ├── bbox_iou.py │ │ └── non_maximum_suppression.py │ ├── bin_label_translate.py │ ├── download.py │ ├── image.py │ ├── iterator │ │ ├── __init__.py │ │ ├── apply_prediction_to_iterator.py │ │ └── unzip.py │ └── testing │ │ ├── __init__.py │ │ ├── assertions │ │ ├── __init__.py │ │ ├── assert_is_bbox.py │ │ ├── assert_is_detection_dataset.py │ │ ├── assert_is_image.py │ │ └── assert_is_semantic_segmentation_dataset.py │ │ ├── constant_stub_link.py │ │ └── generate_random_bbox.py └── visualizations │ ├── __init__.py │ ├── vis_bbox.py │ ├── vis_image.py │ ├── vis_keypoint.py │ └── vis_label.py ├── CNN ├── __init__.py ├── datasets │ ├── __init__.py │ └── image_dataset.py ├── extensions │ ├── AU_evaluator.py │ ├── __init__.py │ └── special_converter.py ├── legacy │ ├── __init__.py │ └── eval_AU_label_occur.py ├── model │ ├── __init__.py │ ├── resnet101.py │ └── train_chain.py ├── train.py ├── transforms │ ├── __init__.py │ ├── bbox │ │ ├── __init__.py │ │ ├── bbox2loc.py │ │ ├── flip_bbox.py │ │ ├── loc2bbox.py │ │ ├── resize_bbox.py │ │ └── translate_bbox.py │ ├── image │ │ ├── __init__.py │ │ ├── center_crop.py │ │ ├── flip.py │ │ ├── pca_lighting.py │ │ ├── random_crop.py │ │ ├── random_expand.py │ │ ├── random_flip.py │ │ ├── random_rotate.py │ │ ├── resize.py │ │ ├── resize_contain.py │ │ ├── scale.py │ │ └── ten_crop.py │ └── keypoint │ │ ├── __init__.py │ │ ├── flip_keypoint.py │ │ ├── resize_keypoint.py │ │ └── translate_keypoint.py ├── updater │ ├── __init__.py │ ├── update_bptt.py │ └── update_bptt_inconsistency_boxnum.py ├── utils │ ├── __init__.py │ ├── bbox │ │ ├── __init__.py │ │ ├── _nms_gpu_post.c │ │ ├── _nms_gpu_post.pyx │ │ ├── bbox_iou.py │ │ └── non_maximum_suppression.py │ ├── bin_label_translate.py │ ├── download.py │ ├── image.py │ ├── iterator │ │ ├── __init__.py │ │ ├── apply_prediction_to_iterator.py │ │ └── unzip.py │ └── testing │ │ ├── __init__.py │ │ ├── assertions │ │ ├── __init__.py │ │ ├── assert_is_bbox.py │ │ ├── assert_is_detection_dataset.py │ │ ├── assert_is_image.py │ │ └── assert_is_semantic_segmentation_dataset.py │ │ ├── constant_stub_link.py │ │ └── generate_random_bbox.py └── visualizations │ ├── __init__.py │ ├── vis_bbox.py │ ├── vis_image.py │ ├── vis_keypoint.py │ └── vis_label.py ├── I3D_rcnn ├── I3D │ ├── __init__.py │ ├── au_rcnn_train_chain.py │ ├── i3d.py │ └── wrapper.py ├── __init__.py ├── constants │ ├── __init__.py │ └── enum_type.py ├── datasets │ ├── AU_dataset.py │ ├── AU_video_dataset.py │ └── __init__.py ├── train_i3d.py └── transforms │ ├── __init__.py │ ├── bbox │ ├── __init__.py │ ├── bbox2loc.py │ ├── flip_bbox.py │ ├── loc2bbox.py │ ├── resize_bbox.py │ └── translate_bbox.py │ ├── image │ ├── __init__.py │ ├── center_crop.py │ ├── flip.py │ ├── pca_lighting.py │ ├── random_crop.py │ ├── random_expand.py │ ├── random_flip.py │ ├── random_rotate.py │ ├── resize.py │ ├── resize_contain.py │ ├── scale.py │ └── ten_crop.py │ └── keypoint │ ├── __init__.py │ ├── flip_keypoint.py │ ├── resize_keypoint.py │ └── translate_keypoint.py ├── Profile.prof ├── README.md ├── ROI_nets ├── __init__.py ├── datasets │ ├── __init__.py │ └── image_dataset.py ├── extensions │ ├── AU_evaluator.py │ ├── __init__.py │ ├── special_converter.py │ └── speed_evaluator.py ├── legacy │ ├── __init__.py │ └── eval_AU_label_occur.py ├── model │ ├── __init__.py │ ├── resnet101.py │ ├── train_chain.py │ └── vgg19.py ├── speed_test_ROI_Net.py ├── train.py ├── transforms │ ├── __init__.py │ ├── bbox │ │ ├── __init__.py │ │ ├── bbox2loc.py │ │ ├── flip_bbox.py │ │ ├── loc2bbox.py │ │ ├── resize_bbox.py │ │ └── translate_bbox.py │ ├── image │ │ ├── __init__.py │ │ ├── center_crop.py │ │ ├── flip.py │ │ ├── pca_lighting.py │ │ ├── random_crop.py │ │ ├── random_expand.py │ │ ├── random_flip.py │ │ ├── random_rotate.py │ │ ├── resize.py │ │ ├── resize_contain.py │ │ ├── scale.py │ │ └── ten_crop.py │ └── keypoint │ │ ├── __init__.py │ │ ├── flip_keypoint.py │ │ ├── resize_keypoint.py │ │ └── translate_keypoint.py ├── updater │ ├── __init__.py │ ├── update_bptt.py │ └── update_bptt_inconsistency_boxnum.py ├── utils │ ├── __init__.py │ ├── bbox │ │ ├── __init__.py │ │ ├── _nms_gpu_post.c │ │ ├── _nms_gpu_post.pyx │ │ ├── bbox_iou.py │ │ └── non_maximum_suppression.py │ ├── bin_label_translate.py │ ├── download.py │ ├── image.py │ ├── iterator │ │ ├── __init__.py │ │ ├── apply_prediction_to_iterator.py │ │ └── unzip.py │ └── testing │ │ ├── __init__.py │ │ ├── assertions │ │ ├── __init__.py │ │ ├── assert_is_bbox.py │ │ ├── assert_is_detection_dataset.py │ │ ├── assert_is_image.py │ │ └── assert_is_semantic_segmentation_dataset.py │ │ ├── constant_stub_link.py │ │ └── generate_random_bbox.py └── visualizations │ ├── __init__.py │ ├── vis_bbox.py │ ├── vis_image.py │ ├── vis_keypoint.py │ └── vis_label.py ├── action_unit_metric ├── F1_event.py ├── F1_frame.py ├── F1_norm.py ├── __init__.py ├── confusion_mat.py ├── confusion_mat_f1_frame.py ├── confusion_mat_f1_normalize.py ├── demo_metric.py ├── get_AUC.py ├── get_ROC.py └── metric_pretrained_model.py ├── boot_main.py ├── collections_toolkit ├── __init__.py ├── default_list.py ├── dot_dict.py ├── memcached_manager.py ├── ordered_default_dict.py └── ordered_set.py ├── config.py ├── dataset_toolkit ├── AU_balance_toolkit.py ├── __init__.py ├── adaptive_AU_config.py ├── checker │ ├── __init__.py │ ├── check_box_num_consistency.py │ ├── check_feature.py │ ├── check_generate_feature_SVM.py │ └── show_box.py ├── compress_utils.py ├── dataset_generator.py ├── scripts │ ├── AU_intensity_index_file_gen.py │ ├── DISFA_image_generator.py │ ├── __init__.py │ ├── build_of.py │ ├── combine_label_dict_generator.py │ ├── compute_mean.py │ ├── convert_from_weili_split_to_myindex.py │ ├── data_index_file_gen.py │ ├── data_index_file_gen_new.py │ ├── face_crop_mask_generator.py │ ├── gen_label_count_dict.py │ ├── generate_FERA15_idx.py │ ├── label_balance.py │ ├── rename_optical_flow_BP4D.py │ ├── rename_optical_flow_DISFA.py │ ├── stats_AU_group_box_area_size.py │ ├── stats_average_box_coordinate.py │ └── statstics_label.py └── squeeze_label_num_report.py ├── demo ├── ROC_curve.py ├── __init__.py └── demo_AU_rcnn.py ├── design_pattern ├── __init__.py └── decorator.py ├── gen_meanfile.sh ├── graph_learning ├── __init__.py ├── dataset │ ├── __init__.py │ ├── crf_pact_structure.py │ ├── graph_dataset.py │ └── graph_dataset_reader.py ├── evaluator_F1_main.py ├── evaluator_roi_label_split.py ├── extensions │ ├── AU_evaluator.py │ ├── AU_evaluator_respectively.py │ ├── AU_roi_label_split_evaluator.py │ ├── __init__.py │ ├── converter.py │ └── opencrf_evaluator.py ├── model │ ├── __init__.py │ ├── graph_attention_networks │ │ ├── __init__.py │ │ └── graph_attention.py │ ├── open_crf │ │ ├── __init__.py │ │ ├── cython │ │ │ ├── __init__.py │ │ │ ├── factor_graph.pxd │ │ │ ├── factor_graph.pyx │ │ │ ├── open_crf.c │ │ │ ├── open_crf.pyx │ │ │ └── open_crf_layer.py │ │ └── pure_python │ │ │ ├── __init__.py │ │ │ ├── constant_variable.py │ │ │ ├── factor_graph.py │ │ │ └── open_crf_layer.py │ ├── st_attention_net │ │ ├── __init__.py │ │ ├── attention_base_block.py │ │ ├── attention_base_module.py │ │ ├── enum_type.py │ │ ├── st_attention_net.py │ │ ├── st_attention_net_plus.py │ │ ├── st_relation_net.py │ │ └── st_relation_net_plus.py │ ├── structural_rnn │ │ ├── __init__.py │ │ ├── s_rnn_plus.py │ │ └── structural_rnn.py │ └── temporal_lstm │ │ ├── __init__.py │ │ └── temporal_lstm.py ├── openblas_toolkit │ ├── __init__.py │ └── openblas_configure.py ├── script │ ├── __init__.py │ ├── action_unit_graphic_lasso.py │ ├── convert_toy_script.py │ ├── data_json_generator.py │ ├── fp_label_occur_stats.py │ ├── graph_desc_file_generator.py │ └── label_imbalance_dict_generator.py ├── train_graph_attention.py ├── train_opencrf.py ├── train_st_attention_net.py ├── train_structural_rnn_plus.py ├── train_temporal_lstm.py ├── trigger │ ├── EarlyStopTrigger.py │ └── __init__.py └── updater │ ├── __init__.py │ └── bptt_updater.py ├── img_toolkit ├── LBP_feature.py ├── __init__.py ├── face_landmark.py ├── face_mask_cropper.py ├── face_region_mask.py ├── faceppapi.py ├── geometry_utils.py ├── image_tools.py ├── optical_flow.py └── optical_flow_feature.py ├── io_utils.py ├── log_utils.py ├── lstm_end_to_end ├── __init__.py ├── constants │ ├── __init__.py │ └── enum_type.py ├── datasets │ ├── AU_dataset.py │ ├── AU_sequence_frame_dataset.py │ ├── AU_video_dataset.py │ ├── __init__.py │ └── parallel_tools.py ├── evaluator_F1_main.py ├── extensions │ ├── AU_evaluator.py │ ├── __init__.py │ ├── special_converter.py │ └── validate_set_evaluator.py ├── model │ ├── AU_rcnn │ │ ├── __init__.py │ │ ├── au_rcnn.py │ │ ├── au_rcnn_mobilenet_v1.py │ │ ├── au_rcnn_resnet101.py │ │ ├── au_rcnn_resnet50.py │ │ ├── au_rcnn_train_chain.py │ │ ├── au_rcnn_vgg.py │ │ ├── roi_tools │ │ │ ├── __init__.py │ │ │ └── roi_align_2d.py │ │ └── utils │ │ │ ├── __init__.py │ │ │ ├── anchor_target_creator.py │ │ │ ├── bbox2loc.py │ │ │ ├── flip_bbox.py │ │ │ ├── generate_anchor_base.py │ │ │ ├── loc2bbox.py │ │ │ ├── proposal_creator.py │ │ │ ├── proposal_multi_label.py │ │ │ ├── proposal_target_creator.py │ │ │ ├── random_flip.py │ │ │ └── resize_bbox.py │ ├── __init__.py │ ├── roi_space_time_net │ │ ├── __init__.py │ │ ├── attention_base_block.py │ │ ├── conv_lstm │ │ │ ├── __init__.py │ │ │ ├── bn_conv_lstm_block.py │ │ │ ├── conv_lstm_block.py │ │ │ ├── sep_conv_lstm_block.py │ │ │ └── seperate_batch_norm_1d.py │ │ ├── conv_qrnn │ │ │ ├── __init__.py │ │ │ └── conv_qrnn.py │ │ ├── cubic_attention │ │ │ ├── __init__.py │ │ │ ├── cubic_attention_block.py │ │ │ └── space_time_cubic_attention.py │ │ ├── label_dependency_rnn.py │ │ ├── space_time_conv_lstm.py │ │ ├── space_time_rnn.py │ │ ├── space_time_seperate_conv_lstm.py │ │ └── space_time_seperate_fc_lstm.py │ └── wrap_model │ │ ├── __init__.py │ │ └── wrapper.py ├── script │ ├── __init__.py │ ├── convert_mobilenet_caffemodel.py │ ├── convert_tf_model_to_npz.py │ ├── train_label2vec.py │ └── write_memcached_landmark_info.py ├── train_end_to_end.py ├── transforms │ ├── __init__.py │ ├── bbox │ │ ├── __init__.py │ │ ├── bbox2loc.py │ │ ├── flip_bbox.py │ │ ├── loc2bbox.py │ │ ├── resize_bbox.py │ │ └── translate_bbox.py │ ├── image │ │ ├── __init__.py │ │ ├── center_crop.py │ │ ├── flip.py │ │ ├── pca_lighting.py │ │ ├── random_crop.py │ │ ├── random_expand.py │ │ ├── random_flip.py │ │ ├── random_rotate.py │ │ ├── resize.py │ │ ├── resize_contain.py │ │ ├── scale.py │ │ └── ten_crop.py │ └── keypoint │ │ ├── __init__.py │ │ ├── flip_keypoint.py │ │ ├── resize_keypoint.py │ │ └── translate_keypoint.py ├── updater │ ├── __init__.py │ ├── lstm_bptt_updater.py │ └── partial_parallel_updater.py └── utils │ ├── __init__.py │ ├── bbox │ ├── __init__.py │ ├── _nms_gpu_post.c │ ├── _nms_gpu_post.pyx │ ├── bbox_iou.py │ └── non_maximum_suppression.py │ ├── bin_label_translate.py │ ├── cumprod.py │ ├── download.py │ ├── image.py │ ├── iterator │ ├── __init__.py │ ├── apply_prediction_to_iterator.py │ └── unzip.py │ └── testing │ ├── __init__.py │ ├── assertions │ ├── __init__.py │ ├── assert_is_bbox.py │ ├── assert_is_detection_dataset.py │ ├── assert_is_image.py │ └── assert_is_semantic_segmentation_dataset.py │ ├── constant_stub_link.py │ └── generate_random_bbox.py ├── necessary_train_files_for_AU_R-CNN ├── .gitattributes ├── BP4D_3_fold │ ├── id_test_1.txt │ ├── id_test_2.txt │ ├── id_test_3.txt │ ├── id_trainval_1.txt │ ├── id_trainval_2.txt │ ├── id_trainval_3.txt │ ├── id_valid_1.txt │ ├── id_valid_2.txt │ ├── id_valid_3.txt │ ├── intensity_test_1.txt │ ├── intensity_test_2.txt │ ├── intensity_test_3.txt │ ├── intensity_trainval_1.txt │ ├── intensity_trainval_2.txt │ └── intensity_trainval_3.txt ├── DISFA_3_fold │ ├── id_all.txt │ ├── id_test_1.txt │ ├── id_test_2.txt │ ├── id_test_3.txt │ ├── id_trainval_1.txt │ ├── id_trainval_2.txt │ ├── id_trainval_3.txt │ ├── id_valid_1.txt │ ├── id_valid_2.txt │ └── id_valid_3.txt ├── ImageNet pretrained models (load these files before starting training) │ ├── ResNet-101-model.npz │ ├── ResNet-50-model.npz │ ├── VGG_ILSVRC_16_layers.npz │ └── VGG_ILSVRC_19_layers.npz ├── pixels mean value file(it is used in training to subtract its value from images) │ ├── mean_flow.npy │ └── mean_rgb.npy └── shape_predictor_68_face_landmarks.dat ├── paper_stuff ├── __init__.py └── latex_toolkit │ ├── __init__.py │ ├── figure_script.py │ └── table_script.py ├── requirements.txt ├── setup.py ├── setup_nms_gpu.py ├── setup_profile.py ├── shell_script ├── convert_tf_model_to_npz.sh ├── evaluate_crf.sh ├── evaluate_srnn.sh ├── gen_graph_desc.sh ├── gen_meanfile.sh ├── train.sh ├── train_BP4D_21.sh ├── train_BP4D_3.sh ├── train_DISFA.sh ├── train_opencrf.sh ├── train_srnn.sh └── train_st_attention_net.sh ├── simple_graph_learning ├── __init__.py ├── dataset │ ├── AU_extractor_dataset.py │ ├── __init__.py │ ├── jump_exist_file_dataset.py │ └── simple_feature_dataset.py ├── evaluator_F1_main.py ├── extensions │ ├── AU_evaluator.py │ └── __init__.py ├── iterators │ ├── __init__.py │ └── batch_keep_order_iterator.py ├── model │ ├── __init__.py │ └── space_time_net │ │ ├── __init__.py │ │ ├── attention_base_block.py │ │ ├── attention_base_module.py │ │ ├── enum_type.py │ │ ├── reverse_srnn.py │ │ ├── space_time_rnn.py │ │ ├── space_time_rnn_type_2.py │ │ ├── st_relation_net.py │ │ └── st_relation_net_plus.py ├── script │ ├── __init__.py │ ├── check_generate_file_complete.py │ └── write_AU_rcnn_extract_feature.py └── train_space_time_rnn.py ├── suitcase ├── __init__.py ├── lstm_img.py └── test_remote.py ├── time_axis_rcnn ├── __init__.py ├── constants │ ├── __init__.py │ └── enum_type.py ├── datasets │ ├── AU_dataset.py │ ├── AU_video_dataset.py │ ├── __init__.py │ └── npz_feature_dataset.py ├── evaluator_F1_main.py ├── extensions │ ├── AU_evaluator.py │ ├── __init__.py │ └── special_converter.py ├── model │ ├── __init__.py │ ├── dump_feature_model │ │ ├── __init__.py │ │ └── dump_feature_model.py │ └── time_segment_network │ │ ├── __init__.py │ │ ├── anchor_target_creater.py │ │ ├── dilated_convolution_1d.py │ │ ├── faster_head_module.py │ │ ├── faster_rcnn_backbone.py │ │ ├── faster_rcnn_predictor.py │ │ ├── faster_rcnn_train_chain.py │ │ ├── generate_anchors.py │ │ ├── proposal_creater.py │ │ ├── proposal_target_creater.py │ │ ├── segment_proposal_network.py │ │ ├── soi_pooling.py │ │ ├── tcn_backbone.py │ │ ├── util │ │ ├── __init__.py │ │ ├── bbox │ │ │ ├── __init__.py │ │ │ ├── _nms_gpu_post.pyx │ │ │ ├── bbox_util.py │ │ │ └── non_maximum_suppression.py │ │ ├── func │ │ │ ├── __init__.py │ │ │ ├── conv_nd.py │ │ │ ├── conv_nd_kernel.py │ │ │ ├── convolution_nd.py │ │ │ └── deconvolution_nd.py │ │ ├── image.py │ │ ├── iterator │ │ │ ├── __init__.py │ │ │ ├── apply_prediction_to_iterator.py │ │ │ └── unzip.py │ │ ├── links │ │ │ ├── __init__.py │ │ │ ├── convolution_nd.py │ │ │ ├── deconvolution_nd.py │ │ │ └── weight_normalization.py │ │ └── testing │ │ │ ├── __init__.py │ │ │ ├── assertions │ │ │ ├── __init__.py │ │ │ ├── assert_is_bbox.py │ │ │ ├── assert_is_detection_dataset.py │ │ │ ├── assert_is_image.py │ │ │ └── assert_is_semantic_segmentation_dataset.py │ │ │ ├── constant_stub_link.py │ │ │ └── generate_random_bbox.py │ │ ├── wrapper.py │ │ └── wrapper_predictor.py ├── script │ ├── __init__.py │ ├── check_generate_file_complete.py │ └── write_AU_rcnn_extract_feature.py ├── train.py ├── transforms │ ├── __init__.py │ ├── bbox │ │ ├── __init__.py │ │ ├── bbox2loc.py │ │ ├── flip_bbox.py │ │ ├── loc2bbox.py │ │ ├── resize_bbox.py │ │ └── translate_bbox.py │ ├── image │ │ ├── __init__.py │ │ ├── center_crop.py │ │ ├── flip.py │ │ ├── pca_lighting.py │ │ ├── random_crop.py │ │ ├── random_expand.py │ │ ├── random_flip.py │ │ ├── random_rotate.py │ │ ├── resize.py │ │ ├── resize_contain.py │ │ ├── scale.py │ │ └── ten_crop.py │ └── keypoint │ │ ├── __init__.py │ │ ├── flip_keypoint.py │ │ ├── resize_keypoint.py │ │ └── translate_keypoint.py └── updater │ ├── __init__.py │ ├── lstm_bptt_updater.py │ └── partial_parallel_updater.py ├── train_monitor ├── __init__.py └── process_monitor.py └── two_stream_rgb_flow ├── __init__.py ├── constants ├── __init__.py └── enum_type.py ├── datasets ├── AU_dataset.py └── __init__.py ├── evaluator_F1_main.py ├── extensions ├── AU_evaluator.py ├── __init__.py └── special_converter.py ├── model ├── AU_rcnn │ ├── __init__.py │ ├── au_rcnn.py │ ├── au_rcnn_resnet101.py │ ├── au_rcnn_train_chain.py │ ├── au_rcnn_vgg.py │ ├── roi_tools │ │ ├── __init__.py │ │ └── roi_align_2d.py │ └── utils │ │ ├── __init__.py │ │ ├── anchor_target_creator.py │ │ ├── bbox2loc.py │ │ ├── flip_bbox.py │ │ ├── generate_anchor_base.py │ │ ├── loc2bbox.py │ │ ├── proposal_creator.py │ │ ├── proposal_multi_label.py │ │ ├── proposal_target_creator.py │ │ ├── random_flip.py │ │ └── resize_bbox.py ├── __init__.py └── wrap_model │ ├── __init__.py │ └── wrapper.py ├── train.py ├── transforms ├── __init__.py ├── bbox │ ├── __init__.py │ ├── bbox2loc.py │ ├── flip_bbox.py │ ├── loc2bbox.py │ ├── resize_bbox.py │ └── translate_bbox.py ├── image │ ├── __init__.py │ ├── center_crop.py │ ├── flip.py │ ├── pca_lighting.py │ ├── random_crop.py │ ├── random_expand.py │ ├── random_flip.py │ ├── random_rotate.py │ ├── resize.py │ ├── resize_contain.py │ ├── scale.py │ └── ten_crop.py └── keypoint │ ├── __init__.py │ ├── flip_keypoint.py │ ├── resize_keypoint.py │ └── translate_keypoint.py └── utils ├── __init__.py ├── bbox ├── __init__.py ├── _nms_gpu_post.c ├── _nms_gpu_post.pyx ├── bbox_iou.py └── non_maximum_suppression.py ├── bin_label_translate.py ├── cumprod.py ├── download.py ├── image.py ├── iterator ├── __init__.py ├── apply_prediction_to_iterator.py └── unzip.py └── testing ├── __init__.py ├── assertions ├── __init__.py ├── assert_is_bbox.py ├── assert_is_detection_dataset.py ├── assert_is_image.py └── assert_is_semantic_segmentation_dataset.py ├── constant_stub_link.py └── generate_random_bbox.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/machanic/AU_R-CNN/HEAD/.gitignore -------------------------------------------------------------------------------- /AU_intensity_rcnn/__init__.py: 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