RIDNet
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Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.
In the RIDNET forward processing, there are the self.sub_mean(x) and final self.add_mean(res). Whether it is been used to normalize the input image? And by the way, the RGB range of...
Thank you for your awesome code! I am hoping you might open-source the log files you have from training. Maybe the training and validation loss as a function of epoch...
test
hi, i am testing R2NET remval rain, why the test spend so much time? ![image](https://user-images.githubusercontent.com/82870143/196687434-8aaf37d5-74bf-447e-a7ca-48078030db98.png)
There is something went wrong with current code in branch master. Is there anyone who can help me solve this problem. Thank you very much. 1. hardwares ```text CPU: i7-6700K...
造假
总感觉作者是在造假,给的代码里面都没有训练好的模型,而作者在readme文件里面又要我们用预训练模型进行测试,如果既然是真的,作者为什么在experiment/文件夹中删除了ridnet.pt预训练模型,而作者在readme文件里面又说用# RIDNET CUDA_VISIBLE_DEVICES=0 python main.py --data_test MyImage --noise_g 1 --model RIDNET --n_feats 64 --pre_train ../experiment/ridnet.pt --test_only --save_results --save 'RIDNET_RNI15' --testpath ../LR/LRBI/ --testset RNI15 这个代码来进行验证,可是ridnet.pt预训练模型作者在experiment文件夹中都没有提供。