attention ocr

README.md

@@ -3,6 +3,7 @@
 ## Introduction
 
 This is the **ranked No.1** tensorflow based scene text spotting algorithm on [__ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text__](https://rrc.cvc.uab.es/?ch=14) (Latin Only, Latin and Chinese), futhermore, the algorithm is also adopted in [__ICDAR2019 Robust Reading Challenge on Large-scale Street View Text with Partial Labeling__](https://rrc.cvc.uab.es/?ch=16) and [__ICDAR2019 Robust Reading Challenge on Reading Chinese Text on Signboard__](https://rrc.cvc.uab.es/?ch=12). 
+
 Scene text detection algorithm is modified from [__Tensorpack FasterRCNN__](https://github.com/tensorpack/tensorpack/tree/master/examples/FasterRCNN), and we only open source code in this repository for scene text recognition. I upload ICDAR2019 Art competition model to docker hub, please refer to [Docker](#Docker).
 
 Note that our text recognition algorithm not only recognize Latin and Non-Latin characters, but also support horizontal and vertical text recognition in one model. It is convenient for multi-lingual arbitrary-shaped text recognition.
@@ -109,4 +110,6 @@ $(localhost or remote server ip address):5000
 ```
 ![](imgs/web.png)
 
+You can also test from the website [__demo.sceneinception.com__](demo.sceneinception.com)
+
 **Note that the competition model in docker container is slightly different from the recognition model trained from this updated repository.**