用hrnet分类网络修改的feature_extraction,输入输出改后与分割网络相同。一共有两个模型,stage3和stage4,stage4显存占用大一些。两个模型共用一组预训练模型和配置文件
与分割网络的区别是分类在imagenet 22k上预训练的,效果可能更好
hrnet18_stage3/4 里封装的feature_extraction。预训练模型和配置路径在这个文件里
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