Perform data augmentation in training and normalize correctly at test… #9
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I'll check it today. Sorry for the delay. |
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I've obtained 10.42 MAE and 16.89 MSE on part B without augmentation but it takes about 20 hours on GTX 1080Ti. So maybe augmentation is not needed at all. |
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Probably part B is a big enough dataset, in which data augmentation does not make much difference. |
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@vlad3996 请问MSE怎么加上的？谢谢 |
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Working with the code I noticed that data augmentation (i.e. random crop and random flip) was not performed, and that in
val.ipynbdata normalisation at test time was not working correctly. With these changes I was able to performMAE: 11.12on ShanghaiTech Part B, not far from what reported in the paper.