update README

README.md

@@ -3,7 +3,25 @@
 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/)
 
-# Still In Progress 
+# 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) 
+
+## 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**
+
+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`. 
+
+## Pretrained Models
+[KITTI 2012/2015](https://drive.google.com/file/d/1fOw2W7CSEzvSKzBAEIIeftxw6CuvH9Hl/view?usp=sharing)
 
 # Citation
 If you find this code useful in your research, please cite:
@@ -16,3 +34,7 @@ If you find this code useful in your research, please cite:
   year={2019}
 }
 ```
+
+# 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).