Update README.md

README.md

 # DEEM
 The codes for "context-guided entropy minimization for semi-supervised domain adaptation"
+
+## Env setting
+    Python=3.8
+    Pytorh=1.7.0 (py3.8_cuda11.0.221)
+    torchvision=0.8.1  
+
+##Dataset setting
+ All datasets can be seen in https://github.com/VisionLearningGroup/SSDA_MME. After these dataset are downloaded, please bulid a new folder at ./data/.
+To specify your dataset path, please set "project_root" in return_dataset.py
+
+## Training usages
+Training on Office-31:
+
+        python main.py --dataset Office-31 --s webcam --t amazon --gpu_id 0 --train 1
+Test on Office-31:
+
+        python main.py --dataset Office-31 --s webcam --t amazon --gpu_id 0 --train 0
+
+The other datasets follow the similar usages!
+
+If you find the repo is helpful, feel free to star and cite us:
+
+    @article{MA2022270,
+    title = {Context-guided entropy minimization for semi-supervised domain adaptation},
+    journal = {Neural Networks},
+    volume = {154},
+    pages = {270-282},
+    year = {2022},
+    issn = {0893-6080},
+    doi = {https://doi.org/10.1016/j.neunet.2022.07.011},
+    url = {https://www.sciencedirect.com/science/article/pii/S0893608022002672},
+    author = {Ning Ma and Jiajun Bu and Lixian Lu and Jun Wen and Sheng Zhou and Zhen Zhang and Jingjun Gu and Haifeng Li and Xifeng Yan},
+    }
+  
+
+
+   
+