[1] pytorch-detect-to-track
https://github.com/Feynman27/pytorch-detect-to-track
[2] pytorch-yolo-v3
https://github.com/ayooshkathuria/pytorch-yolo-v3.git
[3] 使用PyTorch实现基于YOLOv3的目标检测器
https://github.com/Bugdragon/YOLO_v3_PyTorch
[4] A faster pytorch implementation of faster r-cnn
https://github.com/jwyang/faster-rcnn.pytorch.git
[5] Faster RCNN with PyTorch
https://github.com/longcw/faster_rcnn_pytorch
[6] Convolutional Neural Networks http://pjreddie.com/darknet/
https://github.com/pjreddie/darknet
[7] TORCHVISION OBJECT DETECTION FINETUNING TUTORIA
https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html
[8]视觉工具包torchvision重大更新：支持分割模型、检测模型，还有许多数据集
http://www.ijiandao.com/2b/baijia/269256.html
[9] pytorch版yolov3训练自己数据集
https://www.cnblogs.com/pprp/p/10863496.html
[10]用 PyTorch 实现 YOLOv3 训练和推理
https://linux.ctolib.com/ultralytics-yolov3.html
[11]yolov3 训练代码
https://github.com/ultralytics/yolov3
https://cocodataset.org/#home
[12]resnet pytorch 训练和预测
https://www.pytorchtutorial.com/pytorch-retinanet/
[13] 华为云
https://github.com/huaweicloud/ModelArts-Lab/tree/master/notebook
[14]YOLOV3训练自己的数据集（PyTorch版本）
https://blog.csdn.net/sinat_27634939/article/details/89884011
[15]a-PyTorch-Tutorial-to-Object-Detection
https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
[16] coco 数据集
http://cocodataset.org/#download
[17] kaggle 比赛 物体检测
https://www.kaggle.com/dtcarrot/segmenting-fruits-with-mask-rcnn
[18] Visual Object Classes Challenge 2012 (VOC2012)
http://host.robots.ox.ac.uk/pascal/VOC/index.html
http://host.robots.ox.ac.uk/pascal/VOC/voc2007/examples/index.html
http://host.robots.ox.ac.uk/pascal/VOC/voc2007/guidelines.html
https://blog.csdn.net/haoji007/article/details/80361587
[19] A PyTorch-Based Framework for Deep Learning in Computer Vision
https://github.com/donnyyou/torchcv
