Comments (9)
MSBDN和Dehamer是在RESIDE 上训练的,D4还用他那一套GAN流程训练的,都是用作者自己release的模型测试的。
FADE代码用的是原论文里提供的链接,其它指标都是用Pytorch IQA提供的代码测试的
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请问您的测试代码是 https://live.ece.utexas.edu/research/fog/index.html(FADE), https://github.com/chaofengc/IQA-PyTorch (BRISQUE, NIMA)吗, 我在RTTS原本的4300多张hazy图片上试出来和您有一些差别,尤其是NIMA,hazy图就有4.5了。我需要比较准确的数据,麻烦了。
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请问如何获取或者预训练出- CHM_weight.pth呢,我在您放置的预训练模型中只看见了pretrained_HQPs.pth,pretrained_RIDCP.pth,weight_for_matching_dehazing_Flickr.pth三个,但是看您的readme文件上是需要- CHM_weight.pth的,还有,您公开的数据集链接中只有depth——500和rgb_500,请问这两个数据集是需要通过什么训练过程先处理吗还是可以直接用呢,以上问题可能您均有提到但是我没有看仔细,如有打扰,请您见谅!非常期待您的回复,谢谢!
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请问您的测试代码是 https://live.ece.utexas.edu/research/fog/index.html(FADE), https://github.com/chaofengc/IQA-PyTorch (BRISQUE, NIMA)吗, 我在RTTS原本的4300多张hazy图片上试出来和您有一些差别,尤其是NIMA,hazy图就有4.5了。我需要比较准确的数据,麻烦了。
是的,我用的是以上的代码,按理说不应该有问题。是否是opencv读图片的时候通道反了?有空可以加一下13645548058的微信,我帮你看看。
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请问如何获取或者预训练出- CHM_weight.pth呢,我在您放置的预训练模型中只看见了pretrained_HQPs.pth,pretrained_RIDCP.pth,weight_for_matching_dehazing_Flickr.pth三个,但是看您的readme文件上是需要- CHM_weight.pth的,还有,您公开的数据集链接中只有depth——500和rgb_500,请问这两个数据集是需要通过什么训练过程先处理吗还是可以直接用呢,以上问题可能您均有提到但是我没有看仔细,如有打扰,请您见谅!非常期待您的回复,谢谢!
得到CHM的代码一直还没弄,之前写的代码很乱,然后最近也比较忙,另外代码在老主机上一直没去整理,我尽量尽早弄出来吧。weight_for_matching_dehazing_Flickr.pth就是CHM的weight。
数据集的深度图是RA_depth处理的,论文里有写。
from ridcp_dehazing.
请问如何获取或者预训练出- CHM_weight.pth呢,我在您放置的预训练模型中只看见了pretrained_HQPs.pth,pretrained_RIDCP.pth,weight_for_matching_dehazing_Flickr.pth三个,但是看您的readme文件上是需要- CHM_weight.pth的,还有,您公开的数据集链接中只有depth——500和rgb_500,请问这两个数据集是需要通过什么训练过程先处理吗还是可以直接用呢,以上问题可能您均有提到但是我没有看仔细,如有打扰,请您见谅!非常期待您的回复,谢谢!
readme上写的有些错误,已经修改
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请问,如何输出,模型生成的雾霾图像!感谢了
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i need this paired image dataset, can anyone help me in this regard.. link provided isn't working for me
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Related Issues (20)
- 真实场景的雾天数据合成 HOT 14
- Great work! I would like to ask a simple question HOT 2
- 运行Demo的出错疑问,往有空解惑! HOT 2
- 关于训练模型 HOT 2
- 模型部署问题 HOT 3
- Dataset
- 模型训练问题 HOT 1
- quick demo
- 关于视频去雾
- 关于您公布的500张数据集
- 关于Stage I 的预训练
- 关于CHM和VQGAN训练的开源 HOT 1
- Google Drive links HOT 1
- ITS训练集
- KeyError: "No object named 'HazeOnlineDataset' found in 'dataset' registry!" HOT 1
- CUDA out of memory
- About Model Efficiency HOT 4
- 关于生成有雾图像 HOT 3
- cannot find the CHM pretrained weight HOT 1
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