这个是发表在2019年的论文 Recurrent Back-Projection Network for Video Super-Resolution，我加载该网络模型参数对数据进行预测
这个是发表在2019年的论文 Recurrent Back-Projection Network for Video Super-Resolution，我加载该网络模型参数对视频帧进行预测。
environment： pytorch:1.8.0 cuda:cu101
我加载的是Vid4/foliage数据进行的预测。我也尝试了自己的图片输入进去，进行预测这也是可以的。
这是最后的效果，分别是输入图片，输出图片，GT，如下图
*上传到github上，主要是为了给自己备份，可读性不是很强。
*在代码中有一个so动态库，需要自己编译或者自己上传到colab中去也可，但是谨记千万不能改名字，改了名字import就会出错（我在这里出了很久的错）
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