├── .gitignore ├── .pylintrc ├── .travis.yml ├── LICENSE ├── README.md ├── configs ├── baselines │ ├── e2e_faster_rcnn_R-101-FPN_1x.yaml │ ├── e2e_faster_rcnn_R-101-FPN_2x.yaml │ ├── e2e_faster_rcnn_R-50-C4_1x.yaml │ ├── e2e_faster_rcnn_R-50-C4_2x.yaml │ ├── e2e_faster_rcnn_R-50-FPN_1x.yaml │ ├── e2e_faster_rcnn_R-50-FPN_2x.yaml │ ├── e2e_faster_rcnn_X-101-32x8d-FPN_1x.yaml │ ├── e2e_faster_rcnn_X-101-32x8d-FPN_2x.yaml │ ├── e2e_faster_rcnn_X-101-64x4d-FPN_1x.yaml │ ├── e2e_faster_rcnn_X-101-64x4d-FPN_2x.yaml │ ├── e2e_keypoint_rcnn_R-101-FPN_1x.yaml │ ├── e2e_keypoint_rcnn_R-101-FPN_s1x.yaml │ ├── e2e_keypoint_rcnn_R-50-FPN_1x.yaml │ ├── e2e_keypoint_rcnn_R-50-FPN_s1x.yaml │ ├── e2e_keypoint_rcnn_X-101-32x8d-FPN_1x.yaml │ ├── e2e_keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml │ ├── e2e_keypoint_rcnn_X-101-64x4d-FPN_1x.yaml │ ├── e2e_keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml │ ├── e2e_mask_rcnn_R-101-C4_2x.yaml │ ├── e2e_mask_rcnn_R-101-FPN_1x.yaml │ ├── e2e_mask_rcnn_R-101-FPN_2x.yaml │ ├── e2e_mask_rcnn_R-50-C4_1x.yaml │ ├── e2e_mask_rcnn_R-50-C4_2x.yaml │ ├── e2e_mask_rcnn_R-50-FPN_1x.yaml │ ├── e2e_mask_rcnn_R-50-FPN_2x.yaml │ ├── e2e_mask_rcnn_X-101-32x8d-FPN_1x.yaml │ ├── e2e_mask_rcnn_X-101-32x8d-FPN_2x.yaml │ ├── e2e_mask_rcnn_X-101-64x4d-FPN_1x.yaml │ ├── e2e_mask_rcnn_X-101-64x4d-FPN_2x.yaml │ └── e2e_mask_rcnn_X-152-32x8d-FPN-IN5k_1.44x.yaml ├── getting_started │ ├── tutorial_1gpu_e2e_faster_rcnn_R-50-FPN.yaml │ ├── tutorial_2gpu_e2e_faster_rcnn_R-50-FPN.yaml │ ├── tutorial_4gpu_e2e_faster_rcnn_R-50-FPN.yaml │ └── tutorial_8gpu_e2e_faster_rcnn_R-50-FPN.yaml └── gn_baselines │ ├── e2e_mask_rcnn_R-101-FPN_2x_gn.yaml │ ├── e2e_mask_rcnn_R-101-FPN_3x_gn.yaml │ ├── e2e_mask_rcnn_R-50-FPN_2x_gn.yaml │ ├── e2e_mask_rcnn_R-50-FPN_3x_gn.yaml │ ├── scratch_e2e_mask_rcnn_R-101-FPN_3x_gn.yaml │ └── scratch_e2e_mask_rcnn_R-50-FPN_3x_gn.yaml ├── demo ├── 33823288584_1d21cf0a26_k-detectron-R101-FPN.jpg ├── 33823288584_1d21cf0a26_k-detectron-R50-C4.jpg ├── 33823288584_1d21cf0a26_k-pydetectron-R101-FPN.jpg ├── 33823288584_1d21cf0a26_k-pydetectron-R50-C4.jpg ├── 33823288584_1d21cf0a26_k.jpg ├── convert_pdf2img.sh ├── e2e_mask_rcnn_R-50-C4 │ └── train_from_scratch_epoch1_bs4 │ │ ├── img1.jpg │ │ ├── img2.jpg │ │ ├── img3.jpg │ │ └── img4.jpg ├── img1_keypoints-detectron-R50-FPN.jpg ├── img1_keypoints-pydetectron-R50-FPN.jpg ├── img2_keypoints-detectron-R50-FPN.jpg ├── img2_keypoints-pydetectron-R50-FPN.jpg ├── loss_cmp_of_e2e_faster_rcnn_R-50-FPN_1x.jpg ├── loss_cmp_of_e2e_keypoint_rcnn_R-50-FPN_1x.jpg ├── loss_cmp_of_e2e_mask_rcnn_R-50-FPN_1x.jpg ├── loss_e2e_keypoint_rcnn_R-50-FPN_1x_bs8.jpg ├── loss_e2e_mask_rcnn_R-50-FPN_1x_bs16.jpg ├── loss_e2e_mask_rcnn_R-50-FPN_1x_bs6.jpg ├── sample_images │ ├── img1.jpg │ ├── img2.jpg │ ├── img3.jpg │ └── img4.jpg └── sample_images_keypoints │ ├── img1_keypoints.jpg │ └── img2_keypoints.jpg ├── lib ├── __init__.py ├── build │ ├── lib.win-amd64-3.6 │ │ └── utils │ │ │ ├── cython_bbox.cp36-win_amd64.pyd │ │ │ └── cython_nms.cp36-win_amd64.pyd │ └── temp.win-amd64-3.6 │ │ └── Release │ │ └── utils │ │ ├── cython_bbox.cp36-win_amd64.exp │ │ ├── cython_bbox.cp36-win_amd64.lib │ │ ├── cython_bbox.obj │ │ ├── cython_nms.cp36-win_amd64.exp │ │ ├── cython_nms.cp36-win_amd64.lib │ │ └── cython_nms.obj ├── core │ ├── __init__.py │ ├── config.py │ ├── ensemble.py │ ├── test.py │ └── test_engine.py ├── datasets │ ├── VOCdevkit-matlab-wrapper │ │ ├── get_voc_opts.m │ │ ├── voc_eval.m │ │ └── xVOCap.m │ ├── __init__.py │ ├── cityscapes │ │ ├── __init__.py │ │ ├── coco_to_cityscapes_id.py │ │ └── tools │ │ │ ├── convert_cityscapes_to_coco.py │ │ │ └── convert_coco_model_to_cityscapes.py │ ├── cityscapes_json_dataset_evaluator.py │ ├── dataset_catalog.py │ ├── dummy_datasets.py │ ├── json_dataset.py │ ├── json_dataset_evaluator.py │ ├── roidb.py │ ├── task_evaluation.py │ ├── voc_dataset_evaluator.py │ └── voc_eval.py ├── deform │ └── torch_deform_conv │ │ ├── __init__.py │ │ ├── cnn.py │ │ ├── deform_conv.py │ │ ├── layers.py │ │ ├── mnist.py │ │ └── utils.py ├── dist │ └── mask_rcnn-0.0.0-py3.6-win-amd64.egg ├── make.sh ├── mask_rcnn.egg-info │ ├── PKG-INFO │ ├── SOURCES.txt │ ├── dependency_links.txt │ └── top_level.txt ├── model │ ├── __init__.py │ ├── nms │ │ ├── .gitignore │ │ ├── __init__.py │ │ ├── _ext │ │ │ ├── __init__.py │ │ │ └── nms │ │ │ │ ├── __init__.py │ │ │ │ └── _nms.pyd │ │ ├── build.py │ │ ├── make.sh │ │ ├── nms_gpu.py │ │ ├── nms_kernel.cu │ │ ├── nms_wrapper.py │ │ └── src │ │ │ ├── nms_cuda.h │ │ │ ├── nms_cuda_kernel.cu │ │ │ └── nms_cuda_kernel.h │ ├── roi_align │ │ ├── __init__.py │ │ ├── _ext │ │ │ ├── __init__.py │ │ │ └── roi_align │ │ │ │ └── __init__.py │ │ ├── build.py │ │ ├── functions │ │ │ ├── __init__.py │ │ │ └── roi_align.py │ │ ├── make.sh │ │ ├── modules │ │ │ ├── __init__.py │ │ │ └── roi_align.py │ │ └── src │ │ │ ├── roi_align_cuda.c │ │ │ ├── roi_align_cuda.h │ │ │ ├── roi_align_kernel.cu │ │ │ └── roi_align_kernel.h │ ├── roi_crop │ │ ├── __init__.py │ │ ├── _ext │ │ │ ├── __init__.py │ │ │ ├── crop_resize │ │ │ │ └── __init__.py │ │ │ └── roi_crop │ │ │ │ ├── __init__.py │ │ │ │ └── _roi_crop.pyd │ │ ├── build.py │ │ ├── functions │ │ │ ├── __init__.py │ │ │ ├── crop_resize.py │ │ │ ├── gridgen.py │ │ │ └── roi_crop.py │ │ ├── make.sh │ │ ├── modules │ │ │ ├── __init__.py │ │ │ ├── gridgen.py │ │ │ └── roi_crop.py │ │ └── src │ │ │ ├── roi_crop.c │ │ │ ├── roi_crop.cpp │ │ │ ├── roi_crop.h │ │ │ ├── roi_crop_cuda.c │ │ │ ├── roi_crop_cuda.cpp │ │ │ ├── roi_crop_cuda.h │ │ │ ├── roi_crop_cuda_kernel.cu │ │ │ └── roi_crop_cuda_kernel.h │ ├── roi_pooling │ │ ├── __init__.py │ │ ├── _ext │ │ │ ├── __init__.py │ │ │ └── roi_pooling │ │ │ │ ├── __init__.py │ │ │ │ └── _roi_pooling.pyd │ │ ├── build.py │ │ ├── functions │ │ │ ├── __init__.py │ │ │ └── roi_pool.py │ │ ├── modules │ │ │ ├── __init__.py │ │ │ └── roi_pool.py │ │ └── src │ │ │ ├── roi_pooling.c │ │ │ ├── roi_pooling.cpp │ │ │ ├── roi_pooling.h │ │ │ ├── roi_pooling_cuda.c │ │ │ ├── roi_pooling_cuda.cpp │ │ │ ├── roi_pooling_cuda.h │ │ │ ├── roi_pooling_kernel.cu │ │ │ └── roi_pooling_kernel.h │ └── utils │ │ ├── .gitignore │ │ ├── __init__.py │ │ └── net_utils.py ├── modeling │ ├── FPN.py │ ├── FocalLoss.py │ ├── ResNet.py │ ├── __init__.py │ ├── collect_and_distribute_fpn_rpn_proposals.py │ ├── fast_rcnn_heads.py │ ├── generate_anchors.py │ ├── generate_proposal_labels.py │ ├── generate_proposals.py │ ├── keypoint_rcnn_heads.py │ ├── mask_rcnn_heads.py │ ├── model_builder.py │ ├── roi_xfrom │ │ ├── __init__.py │ │ └── roi_align │ │ │ ├── __init__.py │ │ │ ├── _ext │ │ │ ├── __init__.py │ │ │ └── roi_align │ │ │ │ ├── __init__.py │ │ │ │ └── _roi_align.pyd │ │ │ ├── build.py │ │ │ ├── functions │ │ │ ├── __init__.py │ │ │ └── roi_align.py │ │ │ ├── make.sh │ │ │ ├── modules │ │ │ ├── __init__.py │ │ │ └── roi_align.py │ │ │ └── src │ │ │ ├── roi_align_cuda.c │ │ │ ├── roi_align_cuda.cpp │ │ │ ├── roi_align_cuda.h │ │ │ ├── roi_align_kernel.cu │ │ │ └── roi_align_kernel.h │ └── rpn_heads.py ├── nn │ ├── __init__.py │ ├── functional.py │ ├── init.py │ ├── modules │ │ ├── __init__.py │ │ ├── affine.py │ │ ├── normalization.py │ │ └── upsample.py │ └── parallel │ │ ├── __init__.py │ │ ├── _functions.py │ │ ├── data_parallel.py │ │ ├── parallel_apply.py │ │ ├── replicate.py │ │ └── scatter_gather.py ├── roi_data │ ├── __init__.py │ ├── data_utils.py │ ├── fast_rcnn.py │ ├── keypoint_rcnn.py │ ├── loader.py │ ├── mask_rcnn.py │ ├── minibatch.py │ └── rpn.py ├── setup.py └── utils │ ├── __init__.py │ ├── blob.py │ ├── boxes.py │ ├── collections.py │ ├── colormap.py │ ├── cython_bbox.c │ ├── cython_bbox.cp36-win_amd64.pyd │ ├── cython_bbox.pyx │ ├── cython_nms.c │ ├── cython_nms.cp36-win_amd64.pyd │ ├── cython_nms.pyx │ ├── decode_bboxes.py │ ├── detectron_weight_helper.py │ ├── env.py │ ├── fpn.py │ ├── image.py │ ├── io.py │ ├── keypoints.py │ ├── logging.py │ ├── misc.py │ ├── net.py │ ├── resnet_weights_helper.py │ ├── segms.py │ ├── subprocess.py │ ├── timer.py │ ├── training_stats.py │ └── vis.py └── tools ├── _init_paths.py ├── download_imagenet_weights.py ├── ensemble.py ├── infer_simple.py ├── test_net.py ├── train_net.py ├── train_net_step.py └── train_net_step_win.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/funnyzhou/FPN-Pytorch/HEAD/.gitignore -------------------------------------------------------------------------------- /.pylintrc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/funnyzhou/FPN-Pytorch/HEAD/.pylintrc -------------------------------------------------------------------------------- /.travis.yml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/funnyzhou/FPN-Pytorch/HEAD/.travis.yml 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