Update README.md

README.md

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 # PISE
 
 
-## Test
 
-parsing data: [baidu](https://pan.baidu.com/s/19boQPJnrq2wASSMqzl27NQ) (fectch code: abcd).
 
-results: [baodi](https://pan.baidu.com/s/1qB27b4PKbJD6VB2SOl-1sA) (fetch code: abcd). 
 
-checkpoint: [baidu](https://pan.baidu.com/s/14v3LaCCGCHJUoqQ_wlyNpA) (fetch code: abcd). 
+# Requirement
+
+```
+conda create -n pise python=3.6
+conda install pytorch=1.2 cudatoolkit=10.0 torchvision
+pip install scikit-image pillow pandas tqdm dominate natsort 
+```
+
+
+
+# Data
+
+Data preparation for images and keypoints can follow [Pose Transfer](https://github.com/tengteng95/Pose-Transfer)
+
+
+Parsing data can be found from [baidu](https://pan.baidu.com/s/19boQPJnrq2wASSMqzl27NQ) (fectch code: abcd).
+
+
+
+# Train
+
+```
+python train.py --name=fashion --model=painet --gpu_ids=0
+```
+
+
+
+# Test
+
+You can directly download our test results from [baidu](https://pan.baidu.com/s/1qB27b4PKbJD6VB2SOl-1sA) (fetch code: abcd). <br>
+Pre-trained checkpoint reported in our paper can be found from [baidu](https://pan.baidu.com/s/14v3LaCCGCHJUoqQ_wlyNpA) (fetch code: abcd) and put it in the folder (-->results-->fashion). 
+
+**Test by yourself** <br>
+
+
+```
+python test.py --name=fashion --model=painet --gpu_ids=0 
+```
+
+
+
+
+# Citation
+
+If you use this code, please cite our paper.
+
+
+
+# Acknowledgments
+
+Our code is based on [GFLA](https://github.com/RenYurui/Global-Flow-Local-Attention).
+
+
+
+
+
+
+
+