├── README.md ├── lib ├── detection │ ├── __init__.py │ ├── datasets │ │ ├── VOCdevkit-matlab-wrapper │ │ │ ├── get_voc_opts.m │ │ │ ├── voc_eval.m │ │ │ └── xVOCap.m │ │ ├── __init__.py │ │ ├── coco.py │ │ ├── ds_utils.py │ │ ├── factory.py │ │ ├── imdb.py │ │ ├── pascal_voc.py │ │ ├── tools │ │ │ └── mcg_munge.py │ │ └── voc_eval.py │ ├── layer_utils │ │ ├── __init__.py │ │ ├── anchor_target_layer.py │ │ ├── generate_anchors.py │ │ ├── proposal_layer.py │ │ ├── proposal_target_layer.py │ │ ├── proposal_top_layer.py │ │ ├── roi_align │ │ │ ├── __init__.py │ │ │ ├── _ext │ │ │ │ ├── __init__.py │ │ │ │ └── crop_and_resize │ │ │ │ │ └── __init__.py │ │ │ ├── build.py │ │ │ ├── crop_and_resize.py │ │ │ ├── roi_align.py │ │ │ └── src │ │ │ │ ├── crop_and_resize.c │ │ │ │ ├── crop_and_resize.h │ │ │ │ ├── crop_and_resize_gpu.c │ │ │ │ ├── crop_and_resize_gpu.h │ │ │ │ └── cuda │ │ │ │ ├── crop_and_resize_kernel.cu │ │ │ │ └── crop_and_resize_kernel.h │ │ ├── roi_pooling │ │ │ ├── __init__.py │ │ │ ├── _ext │ │ │ │ ├── __init__.py │ │ │ │ └── roi_pooling │ │ │ │ │ └── __init__.py │ │ │ ├── build.py │ │ │ ├── roi_pool.py │ │ │ └── src │ │ │ │ ├── cuda │ │ │ │ ├── roi_pooling_kernel.cu │ │ │ │ └── roi_pooling_kernel.h │ │ │ │ ├── roi_pooling.c │ │ │ │ ├── roi_pooling.h │ │ │ │ ├── roi_pooling_cuda.c │ │ │ │ └── roi_pooling_cuda.h │ │ └── snippets.py │ ├── make.sh │ ├── model │ │ ├── __init__.py │ │ ├── bbox_transform.py │ │ ├── config.py │ │ ├── nms_wrapper.py │ │ ├── test.py │ │ └── train_val.py │ ├── nets │ │ ├── __init__.py │ │ ├── mobilenet_v1.py │ │ ├── network.py │ │ ├── resnet_v1.py │ │ └── vgg16.py │ ├── nms │ │ ├── __init__.py │ │ ├── build.py │ │ ├── pth_nms.py │ │ └── src │ │ │ ├── cuda │ │ │ ├── nms_kernel.cu │ │ │ └── nms_kernel.h │ │ │ ├── nms.c │ │ │ ├── nms.h │ │ │ ├── nms_cuda.c │ │ │ └── nms_cuda.h │ ├── roi_data_layer │ │ ├── __init__.py │ │ ├── layer.py │ │ ├── minibatch.py │ │ └── roidb.py │ └── utils │ │ ├── .gitignore │ │ ├── __init__.py │ │ ├── bbox.py │ │ ├── blob.py │ │ ├── timer.py │ │ └── visualization.py ├── flownet │ ├── __init__.py │ ├── make.sh │ ├── model │ │ ├── __init__.py │ │ ├── datasets.py │ │ ├── losses.py │ │ └── models.py │ ├── networks │ │ ├── FlowNetC.py │ │ ├── FlowNetFusion.py │ │ ├── FlowNetS.py │ │ ├── FlowNetSD.py │ │ ├── __init__.py │ │ ├── channelnorm_package │ │ │ ├── __init__.py │ │ │ ├── _ext │ │ │ │ ├── __init__.py │ │ │ │ └── channelnorm │ │ │ │ │ └── __init__.py │ │ │ ├── build.py │ │ │ ├── functions │ │ │ │ ├── __init__.py │ │ │ │ └── channelnorm.py │ │ │ ├── make.sh │ │ │ ├── modules │ │ │ │ ├── __init__.py │ │ │ │ └── channelnorm.py │ │ │ └── src │ │ │ │ ├── ChannelNorm_cuda.c │ │ │ │ ├── ChannelNorm_cuda.h │ │ │ │ ├── ChannelNorm_kernel.cu │ │ │ │ └── ChannelNorm_kernel.h │ │ ├── correlation_package │ │ │ ├── __init__.py │ │ │ ├── _ext │ │ │ │ ├── __init__.py │ │ │ │ └── correlation │ │ │ │ │ └── __init__.py │ │ │ ├── build.py │ │ │ ├── functions │ │ │ │ ├── __init__.py │ │ │ │ └── correlation.py │ │ │ ├── make.sh │ │ │ ├── modules │ │ │ │ ├── __init__.py │ │ │ │ └── correlation.py │ │ │ └── src │ │ │ │ ├── correlation.c │ │ │ │ ├── correlation.h │ │ │ │ ├── correlation_cuda.c │ │ │ │ ├── correlation_cuda.h │ │ │ │ ├── correlation_cuda_kernel.cu │ │ │ │ └── correlation_cuda_kernel.h │ │ ├── resample2d_package │ │ │ ├── __init__.py │ │ │ ├── _ext │ │ │ │ ├── __init__.py │ │ │ │ └── resample2d │ │ │ │ │ └── __init__.py │ │ │ ├── build.py │ │ │ ├── functions │ │ │ │ ├── __init__.py │ │ │ │ └── resample2d.py │ │ │ ├── make.sh │ │ │ ├── modules │ │ │ │ ├── __init__.py │ │ │ │ └── resample2d.py │ │ │ └── src │ │ │ │ ├── Resample2d_cuda.c │ │ │ │ ├── Resample2d_cuda.h │ │ │ │ ├── Resample2d_kernel.cu │ │ │ │ └── Resample2d_kernel.h │ │ └── submodules.py │ └── utils │ │ ├── __init__.py │ │ ├── convert.py │ │ ├── flow_utils.py │ │ ├── flowlib.py │ │ ├── frame_utils.py │ │ ├── param_utils.py │ │ └── tools.py ├── make.sh ├── pose │ ├── __init__.py │ ├── datasets │ │ ├── __init__.py │ │ ├── coco.py │ │ └── mpii.py │ ├── models │ │ ├── .ipynb_checkpoints │ │ │ └── model-checkpoint.ipynb │ │ ├── __init__.py │ │ ├── blocks.py │ │ ├── densenet.py │ │ ├── hourglass.py │ │ ├── pose_deconv.py │ │ ├── pose_fpn.py │ │ ├── pose_net.py │ │ └── resnet.py │ └── utils │ │ ├── .ipynb_checkpoints │ │ └── eval-checkpoint.ipynb │ │ ├── __init__.py │ │ ├── amse_loss.py │ │ ├── evaluation.py │ │ ├── focal_loss.py │ │ ├── heatmap.py │ │ └── transforms.py └── tracking │ ├── __init__.py │ ├── flow_utils.py │ └── net_utils.py ├── samples ├── 000456.jpg ├── 000542.jpg ├── 001150.jpg ├── 001763.jpg ├── 004545.jpg ├── img0.ppm └── img1.ppm └── tools ├── detection ├── _init_paths.py ├── convert_from_tensorflow.py ├── convert_from_tensorflow_mobile.py ├── convert_from_tensorflow_vgg.py ├── demo.py ├── demo_all_bboxes.py ├── reval.py ├── test_net.py └── trainval_net.py ├── flownet ├── _init_paths.py ├── demo.py └── main.py ├── pose ├── _init_paths.py ├── config.py └── main.py └── 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