master
tunm 2 years ago
parent 6a2dba88b5
commit f366ccf072

@ -5,7 +5,11 @@
#### [![1](https://badge.fury.io/py/hyperlpr3.svg "title")](https://pypi.org/project/hyperlpr3/)[![1](https://img.shields.io/pypi/pyversions/hyperlpr3.svg "title")](https://pypi.org/manage/project/hyperlpr3/releases/) #### [![1](https://badge.fury.io/py/hyperlpr3.svg "title")](https://pypi.org/project/hyperlpr3/)[![1](https://img.shields.io/pypi/pyversions/hyperlpr3.svg "title")](https://pypi.org/manage/project/hyperlpr3/releases/)
[中文文档](README_CH.md) [中文文档](README_CH.md)
### Quick installation ### Demo APP Installation
- Android APP[Scan QR Code](http://fir.tunm.top/hyperlpr)
### Quick Installation
`python -m pip install hyperlpr3` `python -m pip install hyperlpr3`
@ -300,10 +304,6 @@ Know more about: **[Prj-Android](./Prj-Android)**
###### Note:Due to some imbalanced samples during training, some special license plates have low recognition rates, such as (Embassy/Hong Kong and Macao license plates), which will be improved in the subsequent versions. ###### Note:Due to some imbalanced samples during training, some special license plates have low recognition rates, such as (Embassy/Hong Kong and Macao license plates), which will be improved in the subsequent versions.
### Demo APP Install
- Android APP[Scan QR Code](http://fir.tunm.top/hyperlpr)
### Example ### Example
![demo](./images/demo.png) ![demo](./images/demo.png)

@ -4,6 +4,11 @@
#### [![1](https://badge.fury.io/py/hyperlpr3.svg "title")](https://pypi.org/project/hyperlpr3/)[![1](https://img.shields.io/pypi/pyversions/hyperlpr3.svg "title")](https://pypi.org/manage/project/hyperlpr3/releases/) #### [![1](https://badge.fury.io/py/hyperlpr3.svg "title")](https://pypi.org/project/hyperlpr3/)[![1](https://img.shields.io/pypi/pyversions/hyperlpr3.svg "title")](https://pypi.org/manage/project/hyperlpr3/releases/)
### 快速体验APP
- 体验 Android APP[扫码下载](http://fir.tunm.top/hyperlpr)
### 一键安装 ### 一键安装
`python -m pip install hyperlpr3` `python -m pip install hyperlpr3`
@ -301,10 +306,6 @@ Plate[] plates = HyperLPR3.getInstance().plateRecognition(bitmap, HyperLPR3.CAM
###### Note:由于训练的时候样本存在一些不均衡的问题,一些特殊车牌存在一定识别率低下的问题,如(使馆/港澳车牌),会在后续的版本进行改进。 ###### Note:由于训练的时候样本存在一些不均衡的问题,一些特殊车牌存在一定识别率低下的问题,如(使馆/港澳车牌),会在后续的版本进行改进。
### 识别测试APP
- 体验 Android APP[扫码下载](http://fir.tunm.top/hyperlpr)
### 效果示例 ### 效果示例
![demo](./images/demo.png) ![demo](./images/demo.png)

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