├── .gitignore ├── LICENSE ├── README.md ├── create_coco_eval_json.py ├── create_mask_feat_vec.py ├── create_retrieval_eval_vecs.py ├── create_yolo_feat_vec.py ├── draw_df2_bbox.py ├── draw_modanet_bbox.py ├── faster-retina ├── configs.zip └── configs │ ├── e2e_faster_rcnn_R_50_FPN_1x_df2_test.yaml │ ├── e2e_faster_rcnn_R_50_FPN_1x_modanet_test.yaml │ ├── e2e_mask_rcnn_R_50_FPN_1x-df2.yaml │ ├── e2e_mask_rcnn_R_50_FPN_1x-modanet.yaml │ ├── retinanet_R-50-FPN_1x-df2.yaml │ └── retinanet_R-50-FPN_1x-modanet.yaml ├── gt_imgs ├── df2_000001.png ├── df2_000053.png ├── df2_000066.png ├── df2_000113.png ├── df2_000123.png ├── df2_000264.png ├── df2_000542.png ├── df2_000678.png ├── df2_000846.png ├── df2_001111.png ├── df2_005300.png ├── df2_005301.png ├── df2_005305.png ├── df2_006696.png ├── df2_006753.png ├── df2_010900.png ├── df2_010902.png ├── df2_010916.png ├── df2_015009.png ├── df2_017609.png ├── df2_021167.png ├── modanet_0433734.png ├── modanet_0434160.png ├── modanet_0434556.png ├── modanet_0658566.png ├── modanet_0676430.png ├── modanet_1070531.png ├── modanet_1091149.png ├── modanet_358143.png ├── modanet_3882.png ├── modanet_404001.png ├── modanet_422747.png ├── modanet_432256.png ├── modanet_493590.png ├── modanet_681883.png ├── modanet_687849.png ├── modanet_939267.png └── modanet_943235.png ├── image_retrieval.py ├── imagenes_asd.py ├── maskrcnn_benchmark ├── _C.cpython-37m-x86_64-linux-gnu.so ├── __init__.py ├── config │ ├── __init__.py │ ├── __init__.pyc │ ├── defaults.py │ ├── defaults.pyc │ └── paths_catalog.py ├── csrc │ ├── ROIAlign.h │ ├── ROIPool.h │ ├── SigmoidFocalLoss.h │ ├── cpu │ │ ├── ROIAlign_cpu.cpp │ │ ├── nms_cpu.cpp │ │ └── vision.h │ ├── cuda │ │ ├── ROIAlign_cuda.cu │ │ ├── ROIPool_cuda.cu │ │ ├── SigmoidFocalLoss_cuda.cu │ │ ├── deform_conv_cuda.cu │ │ ├── deform_conv_kernel_cuda.cu │ │ ├── deform_pool_cuda.cu │ │ ├── deform_pool_kernel_cuda.cu │ │ ├── nms.cu │ │ └── vision.h │ ├── deform_conv.h │ ├── deform_pool.h │ ├── nms.h │ └── vision.cpp ├── data │ ├── README.md │ ├── __init__.py │ ├── build.py │ ├── collate_batch.py │ ├── datasets │ │ ├── __init__.py │ │ ├── coco.py │ │ ├── concat_dataset.py │ │ ├── deepfashion2.py │ │ ├── evaluation │ │ │ ├── __init__.py │ │ │ ├── coco │ │ │ │ ├── __init__.py │ │ │ │ └── coco_eval.py │ │ │ └── voc │ │ │ │ ├── __init__.py │ │ │ │ └── voc_eval.py │ │ ├── list_dataset.py │ │ ├── modanet.py │ │ └── voc.py │ ├── samplers │ │ ├── __init__.py │ │ ├── distributed.py │ │ ├── grouped_batch_sampler.py │ │ └── iteration_based_batch_sampler.py │ └── transforms │ │ ├── __init__.py │ │ ├── build.py │ │ └── transforms.py ├── engine │ ├── __init__.py │ ├── bbox_aug.py │ ├── inference.py │ └── trainer.py ├── layers │ ├── __init__.py │ ├── _utils.py │ ├── batch_norm.py │ ├── dcn │ │ ├── __init__.py │ │ ├── deform_conv_func.py │ │ ├── deform_conv_module.py │ │ ├── deform_pool_func.py │ │ └── deform_pool_module.py │ ├── misc.py │ ├── nms.py │ ├── roi_align.py │ ├── roi_pool.py │ ├── sigmoid_focal_loss.py │ └── smooth_l1_loss.py ├── modeling │ ├── __init__.py │ ├── backbone │ │ ├── __init__.py │ │ ├── backbone.py │ │ ├── fbnet.py │ │ ├── fbnet_builder.py │ │ ├── fbnet_modeldef.py │ │ ├── fpn.py │ │ └── resnet.py │ ├── balanced_positive_negative_sampler.py │ ├── box_coder.py │ ├── detector │ │ ├── __init__.py │ │ ├── detectors.py │ │ └── generalized_rcnn.py │ ├── make_layers.py │ ├── matcher.py │ ├── poolers.py │ ├── registry.py │ ├── roi_heads │ │ ├── __init__.py │ │ ├── box_head │ │ │ ├── __init__.py │ │ │ ├── box_head.py │ │ │ ├── inference.py │ │ │ ├── loss.py │ │ │ ├── roi_box_feature_extractors.py │ │ │ └── roi_box_predictors.py │ │ ├── keypoint_head │ │ │ ├── __init__.py │ │ │ ├── inference.py │ │ │ ├── keypoint_head.py │ │ │ ├── loss.py │ │ │ ├── roi_keypoint_feature_extractors.py │ │ │ └── roi_keypoint_predictors.py │ │ ├── mask_head │ │ │ ├── __init__.py │ │ │ ├── inference.py │ │ │ ├── loss.py │ │ │ ├── mask_head.py │ │ │ ├── roi_mask_feature_extractors.py │ │ │ └── roi_mask_predictors.py │ │ └── roi_heads.py │ ├── rpn │ │ ├── __init__.py │ │ ├── anchor_generator.py │ │ ├── inference.py │ │ ├── loss.py │ │ ├── retinanet │ │ │ ├── __init__.py │ │ │ ├── inference.py │ │ │ ├── loss.py │ │ │ └── retinanet.py │ │ ├── rpn.py │ │ └── utils.py │ └── utils.py ├── solver │ ├── __init__.py │ ├── build.py │ └── lr_scheduler.py ├── structures │ ├── __init__.py │ ├── bounding_box.py │ ├── boxlist_ops.py │ ├── image_list.py │ ├── keypoint.py │ └── segmentation_mask.py └── utils │ ├── README.md │ ├── __init__.py │ ├── c2_model_loading.py │ ├── checkpoint.py │ ├── collect_env.py │ ├── comm.py │ ├── cv2_util.py │ ├── env.py │ ├── imports.py │ ├── logger.py │ ├── metric_logger.py │ ├── miscellaneous.py │ ├── model_serialization.py │ ├── model_zoo.py │ ├── registry.py │ └── timer.py ├── new_image_demo.py ├── new_image_retrieval.py ├── output ├── deteccion_mujer.png ├── deteccion_mujer2.png ├── deteccion_mujer3.png ├── deteccion_pareja.png └── deteccion_tipo.png ├── predictors ├── DetectronModels.py ├── YOLOv3.py └── __init__.py ├── test_times.py ├── tests ├── 0000003.jpg ├── 0000013.jpg ├── 0000148.jpg ├── 0000156.jpg ├── 000081.jpg ├── 0002719.jpg ├── 000337.jpg ├── 0003882.jpg ├── __init__.py ├── amazon.jpg ├── clothe.jpg ├── clothe2.jpg ├── pants.jpeg ├── polera.jpg ├── tipo.jpg └── white.png ├── tiempos ├── times_faster.npy ├── times_maskrcnn.npy ├── times_retinanet.npy ├── times_trident.npy └── times_yolo.npy ├── webcam_demo.py ├── webcam_retrieval.py └── yolo ├── __init__.py ├── df2cfg ├── df2.names ├── objdf2.data └── yolov3-df2.cfg ├── modanetcfg ├── modanet.data ├── modanet.names └── yolov3-modanet.cfg ├── utils ├── __init__.py ├── augmentations.py ├── datasets.py ├── get_yolo_featvec.py ├── logger.py ├── models.py ├── parse_config.py ├── utils.py └── utils2.py └── weights └── download_weights.sh /.gitignore: -------------------------------------------------------------------------------- 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