├── .gitignore ├── README.md ├── __init__.py ├── configs ├── __init__.py ├── atss_config.py ├── base_config.py ├── cascade_rcnn_config.py ├── centernet_config.py ├── efficientdet_config.py ├── faster_rcnn_config.py ├── fcos_config.py ├── gfl_config.py ├── gflv2_config.py ├── onenet_config.py ├── retinanet_config.py ├── ssd_config.py ├── yolof_config.py ├── yolov4_config.py └── yolov5_config.py ├── core ├── __init__.py ├── anchors │ ├── __init__.py │ ├── anchor_generator.py │ ├── anchor_generator_v2.py │ └── ssd_anchor_generator.py ├── assigners │ ├── __init__.py │ ├── assigner.py │ ├── atss_assigner.py │ ├── center_heatmap_assigner.py │ ├── fcos_assigner.py │ ├── max_iou_assigner.py │ ├── min_cost_assigner.py │ └── uniform_assigner.py ├── bbox │ ├── __init__.py │ ├── bbox_transform.py │ └── overlaps.py ├── builder.py ├── layers │ ├── __init__.py │ ├── activations.py │ ├── csrc │ │ └── CMakeLists.txt │ ├── dcnv2.py │ ├── deformable_roi_pooling.py │ ├── drop_block.py │ ├── max_in_out.py │ ├── nearest_upsamling.py │ ├── nms.py │ ├── normalizations.py │ ├── position_sensitive_average_pooling.py │ ├── position_sensitive_roi_pooling.py │ ├── proposal_layer.py │ ├── roi_pooling.py │ ├── scale.py │ └── weight_standardization_conv2d.py ├── learning_rate_schedules │ ├── __init__.py │ ├── step_decay.py │ └── tflr.py ├── losses │ ├── __init__.py │ ├── balanced_l1_loss.py │ ├── cross_entropy.py │ ├── focal_loss.py │ ├── generalized_focal_loss.py │ ├── ghm_loss.py │ ├── iou_loss.py │ └── l1_loss.py ├── metrics │ ├── __init__.py │ ├── average_precision.py │ ├── average_precision_v1.py │ ├── mean_average_precision.py │ ├── no_op_metric.py │ └── wider_face_ap.py ├── optimizers │ ├── __init__.py │ ├── accum_optimizer.py │ ├── gradient_centralization.py │ ├── lookahead_optimizer.py │ └── tfoptimizers.py └── samplers │ ├── __init__.py │ ├── combined_sampler.py │ ├── instance_balanced_positive_sampler.py │ ├── iou_balanced_negative_sampler.py │ ├── ohem_sampler.py │ ├── pseudo_sampler.py │ ├── random_sampler.py │ └── sampler.py ├── create_coco_dataset.py ├── data ├── __init__.py ├── augmentations │ ├── __init__.py │ ├── auto_augment.py │ ├── mixup.py │ ├── mosaic.py │ └── transforms.py ├── builder.py ├── datasets │ ├── __init__.py │ ├── coco_dataset.py │ ├── dataset.py │ ├── objects365_dataset.py │ └── pascal_voc.py └── images │ └── panda.jpg ├── demo.py ├── export_saved_model.py ├── export_tensorrt_model.py ├── inferences └── efficientdet.py ├── logs ├── events.out.tfevents.1617251244.bail.141074.7195.v2 ├── events.out.tfevents.1617251266.bail.141421.7195.v2 ├── events.out.tfevents.1617253323.bail.168083.21721.v2 ├── events.out.tfevents.1617253358.bail.168621.21721.v2 ├── events.out.tfevents.1617253447.bail.169883.21721.v2 ├── events.out.tfevents.1617253477.bail.170342.21721.v2 ├── events.out.tfevents.1617253496.bail.170673.21721.v2 ├── events.out.tfevents.1617253615.bail.172245.21721.v2 ├── events.out.tfevents.1617672692.bail.4032193.7195.v2 ├── events.out.tfevents.1617672814.bail.4033287.7372.v2 ├── events.out.tfevents.1617673033.bail.4036164.7374.v2 ├── events.out.tfevents.1617673230.bail.4038971.7374.v2 ├── events.out.tfevents.1617673732.bail.4045563.7374.v2 ├── events.out.tfevents.1617673754.bail.4045938.7374.v2 ├── events.out.tfevents.1617673850.bail.4047306.7374.v2 ├── events.out.tfevents.1617673895.bail.4047984.7374.v2 ├── events.out.tfevents.1617673960.bail.4048987.7374.v2 ├── events.out.tfevents.1617673981.bail.4049390.7374.v2 ├── events.out.tfevents.1617674034.bail.4050216.7374.v2 ├── events.out.tfevents.1617674077.bail.4050915.7374.v2 ├── events.out.tfevents.1617674147.bail.4051983.7374.v2 ├── events.out.tfevents.1617674268.bail.4053636.7376.v2 ├── events.out.tfevents.1617674295.bail.4054108.7377.v2 ├── events.out.tfevents.1617674328.bail.4054652.7382.v2 ├── events.out.tfevents.1617674400.bail.4055796.7376.v2 ├── events.out.tfevents.1617674438.bail.4056411.7376.v2 ├── events.out.tfevents.1617674491.bail.4057234.7376.v2 ├── events.out.tfevents.1617674515.bail.4057654.7377.v2 ├── events.out.tfevents.1617674556.bail.4058324.7377.v2 ├── events.out.tfevents.1617674688.bail.4060116.7377.v2 ├── events.out.tfevents.1617674720.bail.4060652.7377.v2 ├── events.out.tfevents.1617674978.bail.4064067.7377.v2 ├── events.out.tfevents.1617675005.bail.4064577.7377.v2 ├── events.out.tfevents.1617675053.bail.4065391.7377.v2 ├── events.out.tfevents.1617675271.bail.4068526.7373.v2 ├── events.out.tfevents.1617675471.bail.4071386.7375.v2 ├── events.out.tfevents.1617675640.bail.4073700.7379.v2 ├── events.out.tfevents.1617675886.bail.4076950.7379.v2 ├── events.out.tfevents.1617675939.bail.4077770.7379.v2 ├── events.out.tfevents.1617675973.bail.4078309.7379.v2 ├── events.out.tfevents.1617676041.bail.4079359.7382.v2 ├── events.out.tfevents.1617676071.bail.4079888.7380.v2 ├── events.out.tfevents.1617676113.bail.4080534.7380.v2 ├── events.out.tfevents.1617676313.bail.4083267.7381.v2 ├── events.out.tfevents.1617676338.bail.4083710.7382.v2 ├── events.out.tfevents.1617676398.bail.4084624.7386.v2 ├── events.out.tfevents.1617676432.bail.4085178.7390.v2 ├── events.out.tfevents.1617676473.bail.4085910.7390.v2 └── events.out.tfevents.1617676528.bail.4086783.7377.v2 ├── models ├── __init__.py ├── backbones │ ├── __init__.py │ ├── acnet.py │ ├── backbone.py │ ├── cbnet.py │ ├── darknet53.py │ ├── densenet.py │ ├── dla.py │ ├── efficientnet.py │ ├── hourglass.py │ ├── hrnet.py │ ├── new_resnet.py │ ├── regnet.py │ ├── repvgg.py │ ├── res2net.py │ ├── res2net_v1b.py │ ├── res2next.py │ ├── resnest.py │ ├── resnet.py │ ├── resnet_rs.py │ ├── resnet_v1b.py │ ├── resnet_v2.py │ ├── resnext.py │ ├── shufflenet_v1.py │ ├── shufflenet_v2.py │ └── vgg.py ├── builder.py ├── common.py ├── detectors │ ├── __init__.py │ ├── atss.py │ ├── cascade_rcnn.py │ ├── centernet.py │ ├── detector.py │ ├── detr.py │ ├── efficientdet.py │ ├── faster_rcnn.py │ ├── fcos.py │ ├── gfl.py │ ├── gflv2.py │ ├── one_stage.py │ ├── onenet.py │ ├── paa.py │ ├── retinanet.py │ ├── two_stage.py │ ├── yolof.py │ ├── yolov4.py │ └── yolov5.py ├── heads │ ├── __init__.py │ ├── anchor_free_heads │ │ ├── __init__.py │ │ ├── center_heatmap_head.py │ │ └── onenet_head.py │ ├── bbox_heads │ │ ├── __init__.py │ │ └── bbox_head.py │ ├── dense_heads │ │ ├── __init__.py │ │ ├── anchor_head.py │ │ ├── atss_head.py │ │ ├── fcos_head.py │ │ ├── gfl_head.py │ │ ├── gflv2_head.py │ │ ├── retinanet_head.py │ │ ├── retinanet_sepbn_head.py │ │ ├── rpn_head.py │ │ └── yolof_head.py │ ├── head.py │ └── roi_heads │ │ ├── __init__.py │ │ ├── base_roi_head.py │ │ └── standard_roi_head.py └── necks │ ├── __init__.py │ ├── bifpn.py │ ├── bifpn1.py │ ├── centernet_deconv.py │ ├── dilated_encoder.py │ ├── dlaup.py │ ├── feature_fusion_pyramid.py │ ├── fpn.py │ ├── nas_fpn.py │ └── path_aggregation_neck.py ├── train.py ├── trainers ├── __init__.py ├── multi_gpu_trainer.py └── single_gpu_trainer.py ├── utils ├── __init__.py ├── box_utils.py ├── get_anchors.py ├── register.py └── upsample.py └── yamls ├── FasterRCNN_FPN_1x.yaml ├── YOLOF_R101_C5_1x.yaml ├── YOLOF_R101_DC5_1x.yaml ├── YOLOF_R50_C5_1x.yaml ├── YOLOF_R50_DC5_1x.yaml ├── YOLOF_X_101_64x4d_C5_1x.yaml ├── atss_r101_fpn_1x_coco.yaml ├── atss_r50_fpn_1x_coco.yaml ├── gfl_r101_fpn_mstrain_2x_coco.yaml ├── gfl_r50_fpn_1x_coco.yaml ├── gfl_r50_fpn_mstrain_2x_coco.yaml ├── gfl_x101_32x4d_fpn_mstrain_2x_coco.yaml ├── gflv2_r101_fpn_ms2x.yaml ├── gflv2_r50_fpn_1x.yaml ├── gflv2_r50_fpn_ms2x.yaml ├── retinanet_r101_fpn_2x_coco.yaml ├── retinanet_r50_fpn_2x_coco.yaml ├── retinanet_x101_32x4d_fpn_2x_coco.yaml ├── retinanet_x101_64x4d_fpn_2x_coco.yaml ├── yolov5m.yaml └── yolov5s.yaml /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wavce/letsdet/HEAD/.gitignore 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