Update README.md

README.md

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 The code for our CVPR paper [PISE: Person Image Synthesis and Editing with Decoupled GAN](https://arxiv.org/abs/2103.04023)
 
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 # Requirement
 
 ```
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 pip install scikit-image pillow pandas tqdm dominate natsort 
 ```
 
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 # Data
 
 Data preparation for images and keypoints can follow [Pose Transfer](https://github.com/tengteng95/Pose-Transfer)
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 ```
 python train.py --name=fashion --model=painet --gpu_ids=0
 ```
-Note that if you want to train a pose transfer model as well as texture transfer and region editing, just comments the line 177 and 178, and uncomments line 162-176. 
+**Note that if you want to train a pose transfer model as well as texture transfer and region editing, just comments the line 177 and 178, and uncomments line 162-176. ** 
 
 
 # Test
 
 You can directly download our test results from [baidu](https://pan.baidu.com/s/16HiFP6hExXVSzbs9A_Bhbw) (fetch code: abcd) or [Google drive](https://drive.google.com/file/d/1u62gyQ46_qZGB6BlESpk0WLjcZ-NH8-F/view?usp=sharing). <br>
 Pre-trained checkpoint of human pose transfer reported in our paper can be found from [baidu](https://pan.baidu.com/s/14v3LaCCGCHJUoqQ_wlyNpA) (fetch code: abcd) or [Google drive](https://drive.google.com/file/d/1gcdzahJ-pE-bSQfcnrW__iXIViH_y-FB/view?usp=sharing) and put it in the folder (-->results-->fashion). 
 
-Pre-Trained checkpoint of texture transfe, region editing, style interpolation used in our paper can be found from [baidu](https://pan.baidu.com/s/1E025k57INvL0O8cdLi87og) or [Google drive](). Note that the model need to be changed.
+Pre-Trained checkpoint of texture transfe, region editing, style interpolation used in our paper can be found from [baidu](https://pan.baidu.com/s/1E025k57INvL0O8cdLi87og)(fetch code: abcd) or [Google drive](). Note that the model need to be changed.
 
 **Test by yourself** <br>
 
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 ```
 
 
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 # Citation
 
 If you use this code, please cite our paper.