Comments (7)
网络采用一个相同的backbone,然后分别加入不同的block,测试出psnr,再用pythin画出结果。
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@CV-JunchengLi 是保存好每张曲线图,最后再合并到一张图做对比吗
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是的,分别训练,分别保存各个模型的每一次迭代结果,最后在一张图上绘制出。不过现在应该也有很多库或者插件是支持多模型同时训练,并在一张图上实时绘制对比结果的。
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@CV-JunchengLi 不好意思哦,那你们是用什么软件提取出psnr曲线图的那么多数据点的,还是matlab直接提取呢?
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@CV-JunchengLi 就是我不太理解怎么把所有曲线合并到一张图里作对比
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我们是直接用Python读取结果画的
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@CV-JunchengLi 已解决 感谢
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Related Issues (20)
- input and target shapes do not match HOT 2
- About log.txt file HOT 4
- issue about pre-trained model HOT 6
- issue about training x8 model HOT 5
- Something wrong about self.loader_test HOT 1
- What about an 8x test dataset HOT 3
- dataset HOT 1
- can get you reconstruct result of the test benchmark? HOT 1
- training on Y channel HOT 1
- 数据集 HOT 4
- 验证集 HOT 2
- 模型参数量 HOT 2
- how do you plot Feature maps visualization in the paper HOT 1
- Is there a big gap between the PSNR result of Test in python and the result in the paper? HOT 1
- PSNR测试与论文结果差距过大? HOT 1
- Testing on patches HOT 3
- 你好!old代码才是论文的代码吗?
- Is pretrain model available? HOT 1
- training problems HOT 8
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