# Graduation-Design_Py

**Repository Path**: lanceren/Graduation-Design_Py

## Basic Information

- **Project Name**: Graduation-Design_Py
- **Description**: License Plate Detection and Recognition, mainly in the research of algorithm
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: lanceren
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-15
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# License Plate Detection and Recognition

![image](https://img.shields.io/badge/language-Python3-blue.svg)
[![](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/LANCEREN/Graduation-Design_Py/blob/master/LICENSE)

🔥This is Python part in private graduation design project titled License Plate Detection and Recognition.  

If you find any mistakes or have better opinions, please send me an issue or pull request with my git repo : https://gitee.com/lanceren/Graduation-Design_Py.git  
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## Components
### Image Enhancement
- [Dark Channel Prior](https://www.cnblogs.com/Imageshop/p/3281703.html)  

The function effect of this module is not obvious.   
TODO : Filte out noise
### License Plate Localization
- [YOLOv3 Framework](https://github.com/YunYang1994/TensorFlow2.0-Examples/tree/master/4-Object_Detection/YOLOV3)
### Optical Chars Recognition
### Licnese Plate Chars Recognition
### Licnese Plate Color Recognition
The function effect of this module is not obvious.  
TODO : Auxiliary analysis with RGB channel distribution map
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## Requirement
- python 3.7 
- opencv-contrib-python 3.4.2.17
- tensorflow 2.2.0(rc)
- pillow 6.2.0 
- numpy 1.16.0
- pathlib2 2.3.5
- easydict 1.9
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## Installation
### Install requirements
    $ conda create -n GD python=3.7 
    $ conda activate GD 
    $ pip install -r ./docs/requirements.txt 
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## Quick Start
### With correct Conda enviornment, you need trained weights to make prediction on default picture.
    $ python main.py --image_process --file ./output/defaultPicture.jpg
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## How to use
### Use the python instruction with optional arguments
```
optional arguments:
  -h, --help       show this help message and exit
  --make_data      Switch to make data
  --img_process    Switch to image process
  --measure_index  Switch to measure index
  --file FILE      Input file path
  --folder FOLDER  Input folder path
  --version        show program's version number and exit
```
### For example 
    $ python main.py --make_data
    $ python main.py --measure_index
    $ python main.py --image_process --file ./output/defaultPicture.jpg
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## Contact
You can contact me in the following ways :  
1. Email: lancerenbj1308@163.com
2. QQ: 862192878