├── LICENSE ├── README.md ├── README.pdf ├── README_model.md ├── cfg ├── test.cfg ├── yolor_csp.cfg ├── yolor_csp_x.cfg ├── yolor_p6.cfg ├── yolor_p6_score.cfg ├── yolor_w6.cfg ├── yolov4_csp.cfg ├── yolov4_csp_x.cfg ├── yolov4_p6.cfg └── yolov4_p7.cfg ├── convert_to_onnx.py ├── darknet ├── README.md ├── cfg │ ├── yolov4-csp-x.cfg │ └── yolov4-csp.cfg └── new_layers.md ├── data ├── coco.names ├── coco.yaml ├── hyp.finetune.1280.yaml ├── hyp.scratch.1280.yaml ├── hyp.scratch.640.yaml └── score.yaml ├── datasets ├── 01_check_img.py ├── 02_check_box.py ├── 03_train_val_split.py └── 04_myData_label.py ├── detect.py ├── figure ├── implicit_modeling.png ├── performance.png ├── results.png ├── schedule.png ├── tensorboard.png ├── test_res.jpg └── unifued_network.png ├── inference ├── images │ └── horses.jpg └── output │ └── horses.jpg ├── models ├── __init__.py ├── export.py └── models.py ├── requirements.txt ├── scripts ├── get_coco.sh └── get_pretrain.sh ├── test.py ├── test_img.py ├── test_video.py ├── train.py ├── tune.py └── utils ├── __init__.py ├── activations.py ├── autoanchor.py ├── datasets.py ├── general.py ├── google_utils.py ├── layers.py ├── loss.py ├── metrics.py ├── parse_config.py ├── plots.py └── torch_utils.py /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DataXujing/YOLOR-/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DataXujing/YOLOR-/HEAD/README.md -------------------------------------------------------------------------------- /README.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DataXujing/YOLOR-/HEAD/README.pdf -------------------------------------------------------------------------------- /README_model.md: 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