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(fix typo) Update README.md (#107)

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Some typo corrections.
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@ -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: 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:<br> Other recommended projects:<br>
:arrow_forward: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN): A practical algorithm for general image restoration<br> :arrow_forward: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN): A practical algorithm for general image restoration<br>
:arrow_forward: [BasicSR](https://github.com/xinntao/BasicSR): An ppen-source image and video restoration toolbox<br> :arrow_forward: [BasicSR](https://github.com/xinntao/BasicSR): An open-source image and video restoration toolbox<br>
:arrow_forward: [facexlib](https://github.com/xinntao/facexlib): A collection that provides useful face-relation functions.<br> :arrow_forward: [facexlib](https://github.com/xinntao/facexlib): A collection that provides useful face-relation functions.<br>
:arrow_forward: [HandyView](https://github.com/xinntao/HandyView): A PyQt5-based image viewer that is handy for view and comparison. <br> :arrow_forward: [HandyView](https://github.com/xinntao/HandyView): A PyQt5-based image viewer that is handy for view and comparison. <br>
@ -53,7 +53,7 @@ Other recommended projects:<br>
### Installation ### Installation
We now provide a *clean* version of GFPGAN, which does not require customized CUDA extensions. <br> We now provide a *clean* version of GFPGAN, which does not require customized CUDA extensions. <br>
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 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 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 ## :european_castle: Model Zoo