RetinaNet-Pytorch:RetinaNet在Pytonch中的实现
视网膜网
这是Pytorch中RetinaNet的实现，使用ResNet作为主干和FPN。 它基于和的代码。
在VOC上训练
1.下载PASCAL VOC 2012 trainval数据集并解压缩。 其路径应为“ {root_dir} / VOCdevkit / ..”。
2.下载此仓库
git clone git@github.com:qqadssp/RetinaNet.git
cd RetinaNet
3.从预训练的权重
cd checkpoint
wget https://download.pythorch.org/models/resnet50-19c8e357.pth
cd ..
4，初始化模型
python init.py
5.在“ config”中修改配置文件。 对于VOC数据集，请用您的{root_dir}修改“ TRAIN：DATASETS_DIR”
文件下载
资源详情
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