edit readme

Author: chenjun2hao

README.md

@@ -7,29 +7,56 @@ At present, the accuracy of the paper cannot be achieved. And i borrowed code fr
 **model**
 <img src='./demo_image/SRN.png'> 
 
+**result**
+| IIIT5k_3000 | SVT   | IC03_860 | IC03_867 | IC13_857 | IC13_1015 | IC15_1811 | IC15_2077 | SVTP  | CUTE80 |  
+| ----------- | ------| ---------| ---------| ---------| --------- | ----------| --------- | ----  | ------ |  
+| 84.600      | 83.617| 92.907   | 92.849   | 90.315   | 88.177    | 71.010    | 68.064    | 71.008 | 68.641  |
 
+**total_accuracy: 80.597**
+
+---
 
 **Feature**
 - predict the character at once time
 - DistributedDataParallel training
 
 
 
+
 ---
 ## Requirements
 Pytorch >= 1.1.0
 
 
 ## Test
-coming soon ...
+1. download the evaluation data from [deep-text-recognition-benchmark](https://github.com/clovaai/deep-text-recognition-benchmark)
+
+2. download the pretrained model from [Baidu](https://pan.baidu.com/s/1E5xeajIl_fvtrGWyrE9CeA), Password: d2qn 
+
+3. test on the evaluation data
+```bash
+python test.py --eval_data path-to-data --saved_model path-to-model
+```
 
 ---
 
 ## Train
-coming soon ...
+1. download the training data from [deep-text-recognition-benchmark](https://github.com/clovaai/deep-text-recognition-benchmark)
+
+2. training from scratch
+```bash
+python train.py --train_data path-to-train-data --valid-data path-to-valid-data
+```
 
 ## Reference
 1. [bert_ocr.pytorch](https://github.com/chenjun2hao/Bert_OCR.pytorch)
 2. [deep-text-recognition-benchmark](https://github.com/clovaai/deep-text-recognition-benchmark)
 3. [2D Attentional Irregular Scene Text Recognizer](https://arxiv.org/pdf/1906.05708.pdf)
-4. [Towards Accurate Scene Text Recognition with Semantic Reasoning Networks](https://arxiv.org/abs/2003.12294)
+4. [Towards Accurate Scene Text Recognition with Semantic Reasoning Networks](https://arxiv.org/abs/2003.12294)
+
+## difference with the origin paper
+- use resnet for 1D feature not resnetFpn 2D feature
+- use add not gated unit for visual-semanti fusion decoder
+
+## other
+It is difficult to achieve the accuracy of the paper, hope more people to try and share