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FID 和LPIPS #3
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请问你们可以跑通训练的代码吗 |
我试了一下测试的代码,可以生成图像,训练的还没搞 |
The size of the image generated may be 250 * 250 |
你好,请问你们的anno_train.json文件是在哪里获取的呢 |
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你好,使用pre-trained model
和dataset FS2K生成的结果(1037张素描图【由于test的photo只有1037张,这也是一个疑问点】)计算FID,分别使用了https://github.com/AiArt-HDU/HIDA/blob/main/evaluation/dirs_fid_score.py和https://github.com/mseitzer/pytorch-fid的方法计算的FID得分都是58左右(ground truth是dataset FS2K中的sketch),并且对FSGAN计算的FID(groud truth使用的是FS2K原版的图像,由于FS2K中图像尺寸不一,全部resize到256x256计算的)得分在44左右,使用https://github.com/richzhang/PerceptualSimilarity计算的LPIPS,HIDA方法得分是0.273(这里只有1037张图),而FSGAN计算的是0.228(这里是正常的1046张图),除了0.273这个数值外,其他数值与论文中的差距有些大,请问是我哪里处理不当吗?
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