Merge pull request #370 from dyning/develop

updata en doc

doc/doc_en/reference_en.md

@@ -0,0 +1,55 @@
+# REFERENCE
+
+```
+1. EAST:
+@inproceedings{zhou2017east,
+  title={EAST: an efficient and accurate scene text detector},
+  author={Zhou, Xinyu and Yao, Cong and Wen, He and Wang, Yuzhi and Zhou, Shuchang and He, Weiran and Liang, Jiajun},
+  booktitle={Proceedings of the IEEE conference on Computer Vision and Pattern Recognition},
+  pages={5551--5560},
+  year={2017}
+}
+
+2. DB:
+@article{liao2019real,
+  title={Real-time Scene Text Detection with Differentiable Binarization},
+  author={Liao, Minghui and Wan, Zhaoyi and Yao, Cong and Chen, Kai and Bai, Xiang},
+  journal={arXiv preprint arXiv:1911.08947},
+  year={2019}
+}
+
+3. DTRB:
+@inproceedings{baek2019wrong,
+  title={What is wrong with scene text recognition model comparisons? dataset and model analysis},
+  author={Baek, Jeonghun and Kim, Geewook and Lee, Junyeop and Park, Sungrae and Han, Dongyoon and Yun, Sangdoo and Oh, Seong Joon and Lee, Hwalsuk},
+  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
+  pages={4715--4723},
+  year={2019}
+}
+
+4. SAST:
+@inproceedings{wang2019single,
+  title={A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning},
+  author={Wang, Pengfei and Zhang, Chengquan and Qi, Fei and Huang, Zuming and En, Mengyi and Han, Junyu and Liu, Jingtuo and Ding, Errui and Shi, Guangming},
+  booktitle={Proceedings of the 27th ACM International Conference on Multimedia},
+  pages={1277--1285},
+  year={2019}
+}
+
+5. SRN:
+@article{yu2020towards,
+  title={Towards Accurate Scene Text Recognition with Semantic Reasoning Networks},
+  author={Yu, Deli and Li, Xuan and Zhang, Chengquan and Han, Junyu and Liu, Jingtuo and Ding, Errui},
+  journal={arXiv preprint arXiv:2003.12294},
+  year={2020}
+}
+
+6. end2end-psl:
+@inproceedings{sun2019chinese,
+  title={Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning},
+  author={Sun, Yipeng and Liu, Jiaming and Liu, Wei and Han, Junyu and Ding, Errui and Liu, Jingtuo},
+  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
+  pages={9086--9095},
+  year={2019}
+}
+```

doc/doc_en/tricks_en.md

@@ -1,4 +1,4 @@
-## Tricks of Chinese OCR
+## Tricks
 Here we have sorted out some Chinese OCR training and prediction tricks, which are being updated continuously. You are welcome to contribute more OCR tricks ~
 
 - [Replace Backbone Network](#ReplaceBackboneNetwork)

doc/doc_en/update_en.md

@@ -1,5 +1,13 @@
 # RECENT UPDATES
 
+- 2020.7.15, Add mobile App demo , support both iOS and  Android  ( based on easyedge and Paddle Lite)
+- 2020.7.15, Improve the  deployment ability, add the C + +  inference , serving deployment. In addtion, the benchmarks of the ultra-lightweight Chinese OCR model are provided.
+- 2020.7.15, Add several related datasets, data annotation and synthesis tools.
+- 2020.7.9 Add a new model to support recognize the  character "space".
+- 2020.7.9 Add the data augument and learning rate decay strategies during training.
+- 2020.6.8 Add [datasets](./doc/doc_en/datasets_en.md) and keep updating
+- 2020.6.5 Support exporting `attention` model to `inference_model`
+- 2020.6.5 Support separate prediction and recognition, output result score
 - 2020.6.5 Support exporting `attention` model to `inference_model`
 - 2020.6.5 Support separate prediction and recognition, output result score
 - 2020.5.30 Provide Lightweight Chinese OCR online experience

doc/doc_en/visualization_en.md

@@ -0,0 +1,71 @@
+# Visualization
+
+- [Chinese/English OCR Visualization (Space_support )](#Space_support)
+- [Ultra-lightweight Chinese/English OCR Visualization](#Ultra-lightweight)
+- [General Chinese/English OCR Visualization](#General)
+
+<a name="Space_support"></a>
+
+## Chinese/English OCR Visualization (Space_support )
+
+###  Ultra-lightweight Model
+<div align="center">
+    <img src="../imgs_results/img_11.jpg" width="800">
+</div>
+
+### General OCR Model
+<div align="center">
+    <img src="../imgs_results/chinese_db_crnn_server/en_paper.jpg" width="800">
+</div>
+
+<a name="Ultra-lightweight"></a>
+## Ultra-lightweight Chinese/English OCR Visualization
+
+<div align="center">
+    <img src="../imgs_results/1.jpg" width="800">
+</div>
+
+<div align="center">
+    <img src="../imgs_results/7.jpg" width="800">
+</div>
+
+<div align="center">
+    <img src="../imgs_results/12.jpg" width="800">
+</div>
+
+<div align="center">
+    <img src="../imgs_results/4.jpg" width="800">
+</div>
+
+<div align="center">
+    <img src="../imgs_results/6.jpg" width="800">
+</div>
+
+<div align="center">
+    <img src="../imgs_results/9.jpg" width="800">
+</div>
+
+<div align="center">
+    <img src="../imgs_results/16.png" width="800">
+</div>
+
+<div align="center">
+    <img src="../imgs_results/22.jpg" width="800">
+</div>
+
+<a name="General"></a>
+## General Chinese/English OCR Visualization
+
+<div align="center">
+    <img src="../imgs_results/chinese_db_crnn_server/11.jpg" width="800">
+</div>
+
+<div align="center">
+    <img src="../imgs_results/chinese_db_crnn_server/2.jpg" width="800">
+</div>
+
+<div align="center">
+    <img src="../imgs_results/chinese_db_crnn_server/8.jpg" width="800">
+</div>
+
+