hint about ROI layer

Author: zsdonghao

README.md

@@ -18,6 +18,7 @@
 TensorLayer is a deep learning and reinforcement learning library based on [Google TensorFlow](https://www.tensorflow.org). It provides rich data processing, model training and serving modules to help researchers and engineers build practical machine learning workflows.  
 
 # What's New
+* Release [ROI layer](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#roi-layer) for Object Detection.
 * Release [Sub-pixel Convolution 1D](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#d-supixel-convolutional) for Audio Super-resolution.
 * Release [Flickr dataset loader](http://press.liacs.nl/mirflickr/mirdownload.html), see [load_flickr25k](http://tensorlayer.readthedocs.io/en/latest/modules/files.html#flickr25k) and [load_flickr1M](http://tensorlayer.readthedocs.io/en/latest/modules/files.html#flickr1m).
 * Release [SpatialTransformer2dAffineLayer](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#spatial-transformer) for [Spatial Transformer Networks](https://github.com/zsdonghao/Spatial-Transformer-Nets) see [example code](https://github.com/zsdonghao/Spatial-Transformer-Nets).

tensorlayer/third_party/roi_pooling/README.md

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 # Hint from TensorLayer
-- From `https://github.com/deepsense-ai/roi-pooling` 
-- Date 31 Aug 2017
-- Remember to modify the `CUDA_LIB` in Makefile before `python setup.py install`.
+- This implementation is from `https://github.com/deepsense-ai/roi-pooling`, date: 31 Aug 2017.
+- To install this, you have to clone TensorLayer from Github instead of pip install.
+- Remember to modify the `CUDA_LIB` in Makefile before running `python setup.py install` in this folder.
 - Make sure `roi_pooling_example.py` and `test_roi_layer.py` is runable.