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@@ -19,10 +19,10 @@ Many applications in robotics and human-computer interaction can benefit from un
 
 ### Installation
 
-Install <a href="https://www.tensorflow.org/install/">TensorFlow</a>. The code is tested under TF1.9 GPU version and Python 3.5 on Ubuntu 16.04. There are also some dependencies for a few Python libraries for data processing and visualizations like `cv2`. It's highly recommended that you have access to GPUs.
+Install <a href="https://www.tensorflow.org/install/">TensorFlow</a>. The code is tested under TF1.9.0 GPU version, g++ 5.4.0, CUDA 9.0 and Python 3.5 on Ubuntu 16.04. There are also some dependencies for a few Python libraries for data processing and visualizations like `cv2`. It's highly recommended that you have access to GPUs.
 
 #### Compile Customized TF Operators
-The TF operators are included under `tf_ops`, you need to compile them first by `make` under each ops subfolder (check `Makefile`). Update `arch` in the Makefiles for different <a href="https://en.wikipedia.org/wiki/CUDA#GPUs_supported">CUDA Compute Capability</a> that suits your GPU if necessary. The code is tested under TF1.9.0. 
+The TF operators are included under `tf_ops`, you need to compile them first by `make` under each ops subfolder (check `Makefile`). Update `arch` in the Makefiles for different <a href="https://en.wikipedia.org/wiki/CUDA#GPUs_supported">CUDA Compute Capability</a> that suits your GPU if necessary.
 
 ### Usage