@@ -18,7 +18,7 @@ The main features are as follows:
**Note**: This project is based on the open source implementation of [LayoutXLM](https://arxiv.org/pdf/2104.08836.pdf) on Paddle 2.2, and at the same time, after in-depth polishing by the flying Paddle team and the Industrial and **Commercial Bank of China** in the scene of real estate certificate, jointly open source.
## 1.Performance
## 1.Performance
We evaluated the algorithm on [XFUN](https://github.com/doc-analysis/XFUND) 's Chinese data set, and the performance is as follows
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@@ -105,14 +105,14 @@ pip3 install -e .
```
-**(4)Requirements for installing VQA`**
-**(4)Install requirements for VQA **
```bash
cd ppstructure/vqa
pip install-r requirements.txt
```
## 4. Use
## 4. Usage
### 4.1 Data and pre training model preparation
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@@ -216,7 +216,7 @@ python3.7 infer_ser_e2e.py \
--infer_imgs"images/input/zh_val_0.jpg"
```
* End to end evaluation of OCR engine + SER prediction system
* End-to-end evaluation of OCR engine + SER prediction system