diff --git a/README.md b/README.md
index 0478ba0..4e5581d 100644
--- a/README.md
+++ b/README.md
@@ -1,16 +1,20 @@
-# GwcNet 
+# GwcNet
 
 This is the implementation of the paper **Group-wise Correlation Stereo Network**, CVPR 19, Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, and Hongsheng Li
 [\[Arxiv\]](https://arxiv.org/)
 
 # How to use
 
-## Data Preparation 
-Download [Scene Flow Datasets](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html), [KITTI 2012](http://www.cvlibs.net/datasets/kitti/eval_stereo_flow.php?benchmark=stereo), [KITTI 2015](http://www.cvlibs.net/datasets/kitti/eval_scene_flow.php?benchmark=stereo) 
+## Environment
+* python 3.6
+* Pytorch >= 0.4.1
+
+## Data Preparation
+Download [Scene Flow Datasets](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html), [KITTI 2012](http://www.cvlibs.net/datasets/kitti/eval_stereo_flow.php?benchmark=stereo), [KITTI 2015](http://www.cvlibs.net/datasets/kitti/eval_scene_flow.php?benchmark=stereo)
 
 ## Training
 **Scene Flow Datasets**
-    
+
 run the script `./scripts/sceneflow.sh` to train on Scene Flow datsets. Please update `DATAPATH` in the bash file as your training data path.
 
 **KITTI 2012 / 2015**
@@ -18,7 +22,7 @@ run the script `./scripts/sceneflow.sh` to train on Scene Flow datsets. Please u
 run the script `./scripts/kitti12.sh` and `./scripts/kitti15.sh` to finetune on the KITTI 12/15 dataset. Please update `DATAPATH` and `--loadckpt` as your training data path and pretrained SceneFlow checkpoint file.
 
 ## Evaluation
-run the script `./scripts/kitti12_save.sh` and `./scripts/kitti15_save.sh` to save png predictions on the test set of the KITTI datasets to the folder `./predictions`. 
+run the script `./scripts/kitti12_save.sh` and `./scripts/kitti15_save.sh` to save png predictions on the test set of the KITTI datasets to the folder `./predictions`.
 
 ## Pretrained Models
 [KITTI 2012/2015](https://drive.google.com/file/d/1fOw2W7CSEzvSKzBAEIIeftxw6CuvH9Hl/view?usp=sharing)
@@ -37,4 +41,4 @@ If you find this code useful in your research, please cite:
 
 # Acknowledgements
 
-Thanks to Jia-Ren Chang for opening source of his excellent work PSMNet. Our work is inspired by this work and part of codes in `models` are migrated from [PSMNet](https://github.com/JiaRenChang/PSMNet).
\ No newline at end of file
+Thanks to Jia-Ren Chang for opening source of his excellent work PSMNet. Our work is inspired by this work and part of codes in `models` are migrated from [PSMNet](https://github.com/JiaRenChang/PSMNet).