GCANet
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cddlyf
Implementation of "Gated Context Aggregation Network for Image Dehazing and Deraining"
> > @yxxxxxxxx @zrhyst23原代码是为云机写的。我已经为本地机器重新编写了它，但现在没有时间测试它。如果你们中的任何人有时间帮助我，请给我发电子邮件，我会将培训代码发送给你们，让你们先尝试。 > > 好的，非常感谢！我可以试试，你可以发邮件到[[email protected]](mailto:[email protected])。 请问方便发一下代码吗？ 我的邮箱是[email protected] 感谢感谢 _Originally posted by @zhoumo1121 in https://github.com/cddlyf/GCANet/issues/7#issuecomment-926389362_
Hello! I want to conduct on my own dataset so I wonder if you can provide your training code. Thank you very much!
Has anyone tested the rain removal effect? Why does it not meet expectations?
The link of the training code is here "https://drive.google.com/file/d/1T7X1HYztbz6S75vTRNtREgGEOI269KDk/view?usp=sharing"
When I try to run train.py, pop up a error, I don't know how to fix, plz help me Traceback (most recent call last): File "", line 1, in Traceback...
Hi! I used the training code you provided with RESIDE ITS training dataset and SOTS indoor testing dataset. I have trained 140 epochs, and the average loss is close to...
Hello author, the weight given by you in GCANet / models / wacv_gcanet_dehaze.pth, running demo.py can achieve a good dehazing effect. When using this weight to test on the RESIDE...
Hi @cddlyf , We are using your pretrained model on the data set, https://sites.google.com/view/reside-dehaze-datasets/reside-v0 (RTTS (Real-world Task-Driven Testing Set)) but the PSNR is only about 11dB, however on a different...
