Metadata-Version: 2.1
Name: dlib2mediapipe
Version: 0.0.1
Summary: A Python package that allows developers to transition from Dlib to MediaPipe FaceMesh or convert Dlib projects to MediaPipe.
Home-page: UNKNOWN
Author: Rohit Thomas ,Avinash Kurup ,Boby Chaitanya Villari
License: UNKNOWN
Keywords: dlib to mediapipe ,dlib converter,dlib to mediapipe converter,face landmark detector
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9.6
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# Package to convert Dlib to Mediapipe 

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 
[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

[Tutorial of Publishing Python Package](https://youtu.be/7AF3HvKz070)
## Functionality of the Converter


- Converts given input to 468 3-D facial landmark points
- Converts 468 3-D facial landmark points to 2-D facial landmark points
- Converts the facial landmark points to dlib's format


## Usage

- Make sure you have Python installed in your system.
- Run Following command in the CMD.
 ```
  pip install dlib2mediapipe
  ```


 

## Run the following Script.
 ```
  python test.py
 ```


## Note 
- We have tried to implement all the functionality, it might have some bugs also so please do ignore it or please try to solve that bug.

