diff --git a/README.md b/README.md index 9fa2843..ee777c9 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ It leverages rich and diverse priors encapsulated in a pretrained face GAN (*e.g If GFPGAN is helpful in your photos/projects, please help to :star: this repo or recommend it to your friends. Thanks:blush: Other recommended projects:
:arrow_forward: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN): A practical algorithm for general image restoration
-:arrow_forward: [BasicSR](https://github.com/xinntao/BasicSR): An ppen-source image and video restoration toolbox
+:arrow_forward: [BasicSR](https://github.com/xinntao/BasicSR): An open-source image and video restoration toolbox
:arrow_forward: [facexlib](https://github.com/xinntao/facexlib): A collection that provides useful face-relation functions.
:arrow_forward: [HandyView](https://github.com/xinntao/HandyView): A PyQt5-based image viewer that is handy for view and comparison.
@@ -53,7 +53,7 @@ Other recommended projects:
### Installation We now provide a *clean* version of GFPGAN, which does not require customized CUDA extensions.
-If you want want to use the original model in our paper, please see [PaperModel.md](PaperModel.md) for installation. +If you want to use the original model in our paper, please see [PaperModel.md](PaperModel.md) for installation. 1. Clone repo @@ -95,7 +95,7 @@ wget https://github.com/TencentARC/GFPGAN/releases/download/v0.2.0/GFPGANCleanv1 python inference_gfpgan.py --upscale 2 --test_path inputs/whole_imgs --save_root results ``` -If you want want to use the original model in our paper, please see [PaperModel.md](PaperModel.md) for installation and inference. +If you want to use the original model in our paper, please see [PaperModel.md](PaperModel.md) for installation and inference. ## :european_castle: Model Zoo