Update README.md

README.md

@@ -8,11 +8,11 @@ py-R-FCN now supports both joint training and alternative optimization.
 The official R-FCN code (written in MATLAB) is available [here](https://github.com/daijifeng001/R-FCN).
 If your goal is to reproduce the results in the [NIPS 2016 paper](https://arxiv.org/abs/1605.06409), please use the [official code](https://github.com/daijifeng001/R-FCN).
 
-py-R-FCN is based on the [py-faster-rcnn code](https://github.com/rbgirshick/py-faster-rcnn )(include this README) and [the offcial R-FCN implementation](https://github.com/daijifeng001/R-FCN), and the usage is quite similar to [py-faster-rcnn](https://github.com/rbgirshick/py-faster-rcnn ), thanks for their great works.
+py-R-FCN is modified from [py-faster-rcnn code](https://github.com/rbgirshick/py-faster-rcnn )(include this README) and [the offcial R-FCN implementation](https://github.com/daijifeng001/R-FCN), and the usage is quite similar to [py-faster-rcnn](https://github.com/rbgirshick/py-faster-rcnn ).
 
-There are slight differences between the two implementations.
-In particular, this Python port
- - is ~10% slower at test-time, because some operations execute on the CPU in Python layers (e.g., 90ms / image vs. 99ms / image for ResNet-50)
+There are slight differences between py-R-FCN and the official R-FCN implementation.
+ - py-R-FCN is ~10% slower at test-time, because some operations execute on the CPU in Python layers (e.g., 90ms / image vs. 99ms / image for ResNet-50)
+ - py-R-FCN supports both join training and alternative optimization of R-FCN.
 
 #### Some modification