| Name | license-plate-recognition JSON |
| Version |
1.3.1
JSON |
| download |
| home_page | https://github.com/Shahaf-F-S/license-plate-recognition |
| Summary | A module powered by Machine-Learning algorithms designed to detect, recognize and read license plates from car pictures. The module is flexible and equipped with objects and functions to make the process_thresh of LPR easy and fast. The program creates an artificial k nearest neighbour model that detects and reads licensee plate from a car image. |
| upload_time | 2023-09-09 08:09:00 |
| maintainer | |
| docs_url | None |
| author | Shahaf Frank-Shapir |
| requires_python | |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# license-plate-recognition
> A module powered by Machine-Learning algorithms designed to find_image_plates_locations, recognize and read license plates from car pictures.
> The module is flexible and equipped with objects and functions to make the process_thresh of LPR easy and fast.
> The program creates an artificial k nearest neighbour model that detects and reads licensee plate from a car image.
first of all
------------
#### specifics:
- writen and owned by: Shahaf Frank-Shapir
- all the rights are saved for: Shahaf Frank-Shapir
- programming languages: python 3.9.12 (100%)
before we start
---------------
#### description:
- visit the docs to learn more about this project and how to develop with it.
#### dependencies:
- opening:
For this is a complex program, which uses a lot of modules, there are required dependencies needed
in order to run the program. keep in mined the program was writen in python 3.9, so any python version lower
than 3.9 might not work properly.
- install app dependencies by writing the "-r" option to install the requirements
writen in a file, and write the following line in the project directory:
````
pip install -r requirements.txt
````
run a test
-----------
#### run from windows command line (inside the project directory)
- run with python by writing to the command line in the project directory:
````
python test.py
````
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