diff --git a/FAQ.md b/FAQ.md new file mode 100644 index 0000000..caa8c08 --- /dev/null +++ b/FAQ.md @@ -0,0 +1,9 @@ +# FAQ + +1. **What is the difference of `--netscale` and `outscale`?** + +A: TODO. + +1. **How to select models?** + +A: TODO. diff --git a/README.md b/README.md index 8593f26..22a7d5a 100644 --- a/README.md +++ b/README.md @@ -8,11 +8,13 @@ [![Publish-pip](https://github.com/xinntao/Real-ESRGAN/actions/workflows/publish-pip.yml/badge.svg)](https://github.com/xinntao/Real-ESRGAN/blob/master/.github/workflows/publish-pip.yml) 1. [Colab Demo](https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing) for Real-ESRGAN google colab logo. -2. [Portable Windows/Linux/MacOS executable files for Intel/AMD/Nvidia GPU](https://github.com/xinntao/Real-ESRGAN/releases). You can find more information [here](#Portable-executable-files). +2. Portable [Windows](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.2/realesrgan-ncnn-vulkan-20210801-windows.zip) / [Linux](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.2/realesrgan-ncnn-vulkan-20210801-ubuntu.zip) / [MacOS](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.2/realesrgan-ncnn-vulkan-20210801-macos.zip) **executable files for Intel/AMD/Nvidia GPU**. You can find more information [here](#Portable-executable-files). Real-ESRGAN aims at developing **Practical Algorithms for General Image Restoration**.
We extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data. +:question: Frequently Asked Questions can be found in [FAQ.md](FAQ.md). + :triangular_flag_on_post: **Updates** - :white_check_mark: Support arbitrary scale with `--outscale` (It actually further resizes outputs with `LANCZOS4`). Add *RealESRGAN_x2plus.pth* model. @@ -55,7 +57,7 @@ If you have some images that Real-ESRGAN could not well restored, please also op ### Portable executable files -You can download **Windows/Linux/MacOS executable files for Intel/AMD/Nvidia GPU** from https://github.com/xinntao/Real-ESRGAN/releases +You can download [Windows](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.2/realesrgan-ncnn-vulkan-20210801-windows.zip) / [Linux](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.2/realesrgan-ncnn-vulkan-20210801-ubuntu.zip) / [MacOS](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.2/realesrgan-ncnn-vulkan-20210801-macos.zip) **executable files for Intel/AMD/Nvidia GPU**. This executable file is **portable** and includes all the binaries and models required. No CUDA or PyTorch environment is needed.
@@ -125,7 +127,7 @@ Results are in the `results` folder - [RealESRGAN-x4plus](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) - [RealESRNet-x4plus](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/RealESRNet_x4plus.pth) -- [RealESRGAN-x2plus](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.0/RealESRGAN_x2plus.pth) +- [RealESRGAN-x2plus](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth) - [official ESRGAN-x4](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth) ## :computer: Training