From b3824d2d451ce915cdcade78de4f36224b991840 Mon Sep 17 00:00:00 2001 From: Xintao Date: Sun, 2 Jun 2019 17:34:14 +0800 Subject: [PATCH] Update README.md --- README.md | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index b5c6dd9..a5e5776 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,9 @@ # ESRGAN (Enhanced SRGAN) [[Paper]](https://arxiv.org/abs/1809.00219) [[BasicSR]](https://github.com/xinntao/BasicSR) -## :smiley: Training codes are in [BasicSR](https://github.com/xinntao/BasicSR) repo. +### :smiley: Training codes are in [BasicSR](https://github.com/xinntao/BasicSR) repo. +We have simplified the network structure file.
+You can convert the previously save models (`*.pth`) with the script `transer_RRDB_models.py`;
+If you want to use the old arch, you can find it [here](https://github.com/xinntao/ESRGAN/releases/tag/old-arch). + ### Enhanced Super-Resolution Generative Adversarial Networks By Xintao Wang, [Ke Yu](https://yuke93.github.io/), Shixiang Wu, [Jinjin Gu](http://www.jasongt.com/), Yihao Liu, [Chao Dong](https://scholar.google.com.hk/citations?user=OSDCB0UAAAAJ&hl=en), [Yu Qiao](http://mmlab.siat.ac.cn/yuqiao/), [Chen Change Loy](http://personal.ie.cuhk.edu.hk/~ccloy/) @@ -60,10 +64,9 @@ cd ESRGAN ``` 2. Place your own **low-resolution images** in `./LR` folder. (There are two sample images - baboon and comic). 3. Download pretrained models from [Google Drive](https://drive.google.com/drive/u/0/folders/17VYV_SoZZesU6mbxz2dMAIccSSlqLecY) or [Baidu Drive](https://pan.baidu.com/s/1-Lh6ma-wXzfH8NqeBtPaFQ). Place the models in `./models`. We provide two models with high perceptual quality and high PSNR performance (see [model list](https://github.com/xinntao/ESRGAN/tree/master/models)). -4. Run test. We provide ESRGAN model and RRDB_PSNR model. +4. Run test. We provide ESRGAN model and RRDB_PSNR model and you can config in the `test.py`. ``` -python test.py models/RRDB_ESRGAN_x4.pth -python test.py models/RRDB_PSNR_x4.pth +python test.py ``` 5. The results are in `./results` folder. ### Network interpolation demo