KevinJ-Huang / BMNet

CVPR 2022 (Official implementation of "Bijective Mapping Network for Shadow Removal")
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About training result #2

Open HW-VMCL opened 2 years ago

HW-VMCL commented 2 years ago

Hi, I trained the BMNet on RTX 3090 with ISTD dataset, but PSNR on valid set converge to 28.699. I can only train the net with batch_size=2 not 4 as it reported in the paper. Moreover, Could you please provide a pretrained model? Thanks!

Shyla1999 commented 1 week ago

Hi, I trained the BMNet on RTX 3090 with ISTD dataset, but PSNR on valid set converge to 28.699. I can only train the net with batch_size=2 not 4 as it reported in the paper. Moreover, Could you please provide a pretrained model? Thanks!

你好,为什么你可以test出来这么高的PSNR啊,我test的时候只有3.3左右,救命

HW-VMCL commented 1 week ago

Hi, I trained the BMNet on RTX 3090 with ISTD dataset, but PSNR on valid set converge to 28.699. I can only train the net with batch_size=2 not 4 as it reported in the paper. Moreover, Could you please provide a pretrained model? Thanks!

你好,为什么你可以test出来这么高的PSNR啊,我test的时候只有3.3左右,救命

I'm not sure, you may email the authors for an answer. Or maybe you can check the PSNR calculation function.

Shyla1999 commented 1 week ago

您好,我没有找到colortrans那部分模型的预训练权重,不知道是不是作者说的那几个预训练权重,所以我只在mainnet部分做了预训练权重的添加,然后做了测试,但是出来确实是结果很低,想问一下您在colortrans部分假的预训练权重是在哪里呀,非常感谢!

---- Replied Message ---- | From | @.> | | Date | 11/04/2024 19:41 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [KevinJ-Huang/BMNet] About training result (Issue #2) |

Hi, I trained the BMNet on RTX 3090 with ISTD dataset, but PSNR on valid set converge to 28.699. I can only train the net with batch_size=2 not 4 as it reported in the paper. Moreover, Could you please provide a pretrained model? Thanks!

你好,为什么你可以test出来这么高的PSNR啊,我test的时候只有3.3左右,救命

I'm not sure, you may email the authors for an answer. Or maybe you can check the PSNR calculation function.

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