https://github.com/1297rohit/facereco

Face Recognition Library
https://github.com/1297rohit/facereco

dlib face face-detection face-recognition facerecognition facerecognitionproject opencv pypi pypi-package python

Last synced: about 1 month ago
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Face Recognition Library

• Host: GitHub
• URL: https://github.com/1297rohit/facereco
• Owner: 1297rohit
• License: mit
• Created: 2020-02-12T07:27:33.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-11-25T09:53:43.000Z (about 4 years ago)
• Last Synced: 2024-09-21T09:15:45.872Z (3 months ago)
• Topics: dlib, face, face-detection, face-recognition, facerecognition, facerecognitionproject, opencv, pypi, pypi-package, python
• Language: Python
• Homepage:
• Size: 91.3 MB
• Stars: 17
• Watchers: 1
• Forks: 14
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# FaceReco

Face Recognition Library using Class based structure

[![PyPI](https://badge.fury.io/py/FaceReco.png)](https://pypi.org/project/FaceReco/)

## Installing

pip install FaceReco

## Description

Face Recognition is a very popular topic. It has lot of use cases in the filed of biometric security. 

Now a days with the help of Deep learning face recognition has become very feasible to people. 

As deep learning is a very data intensive task and we may always not have such huge amount of data to work in case of face recognition 

so with the advancement in One Shot Learning, face recognition has become more practical and feasible. This Python Package make it even more feasible, simple 

and easy to use. We have eliminated all the steps to download the supporting files and setting up the supporting files. You can simply installed the python package and start doing face detection and recognition.

## Steps Explanation

To learn more about the tasks which are being performed on the backend head over to link : [Step by Step Face Recognition Code Implementation From Scratch In Python](https://towardsdatascience.com/step-by-step-face-recognition-code-implementation-from-scratch-in-python-cc95fa041120)

## Using The Package

#### Train Model

```python

import FaceReco.FaceReco as fr

fr_object1 =  fr.FaceReco()

fr_object1.train_model("lfw_selected/face")

``` 

#### Test Model

```python

fr_object1.test_model("lfw_selected/face2/Johnny_Depp_0002.jpg")

``` 

#### Load Saved Model

```python

fr_object2 =  fr.FaceReco()

fr_object2.load_model("Model_Object_1") #folder of saved model

fr_object2.test_model("lfw_selected/face2/Johnny_Depp_0002.jpg")

```