https://github.com/theankurgoswami/face-recognition-using-facenet

This face recognition system is implemented upon a pre-trained FaceNet model achieving a state-of-the-art accuracy. This system comes with both Live recognition & Image recognition.
https://github.com/theankurgoswami/face-recognition-using-facenet

computer-vision deep-learning face-detection face-recognition facenet-model opencv-python python-3-6

Last synced: 17 days ago
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This face recognition system is implemented upon a pre-trained FaceNet model achieving a state-of-the-art accuracy. This system comes with both Live recognition & Image recognition.

Host: GitHub
URL: https://github.com/theankurgoswami/face-recognition-using-facenet
Owner: TheAnkurGoswami
Created: 2019-08-26T18:07:05.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2023-03-24T23:16:06.000Z (about 2 years ago)
Last Synced: 2025-03-23T19:23:12.910Z (about 1 month ago)
Topics: computer-vision, deep-learning, face-detection, face-recognition, facenet-model, opencv-python, python-3-6
Language: Python
Homepage:
Size: 9.02 MB
Stars: 21
Watchers: 1
Forks: 7
Open Issues: 4
Metadata Files:
- Readme: README.md

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README

# Face-Recognition-using-FaceNet

This face recognition system is implemented upon a pre-trained FaceNet model achieving a state-of-the-art accuracy.
The system comes with
both Live recognition & Image recognition.
It is trained on faces of some celebrities.

For any queries Contact: [Ankur Goswami](https://github.com/Ankur1401/)

* __Installing dependencies:__
* For Anaconda users: `conda install --file requirements.txt`

* For python users: `pip install -r requirements.txt`

(even Anaconda users can use this if they use anaconda prompt instead of terminal)

* __Downloading the model__:

The repository requires an additional file to work. The file is too large to upload here.
So I've provided a Google Drive link of it. Download the file and keep it inside [`/data/model/`](https://github.com/Ankur1401/Face-Recognition-using-FaceNet/tree/master/data/model) directory.
[Click Here](https://drive.google.com/open?id=1PZ_6Zsy1Vb0s0JmjEmVd8FS99zoMCiN1) to download the file.

* __Training on other faces:__

To train model on different faces, follow the given steps:

1. Put the images containing clear frontal face in [`/data/images/`](https://github.com/Ankur1401/Face-Recognition-using-FaceNet/tree/master/data/images) directory.
1. Open the repository directory in terminal and run following commands in given order:
1. `cd script`
1. `python generate_data.py`
1. Follow program instructions.

* __Testing/Detecting faces:__

1. __Face Recognition from Images__:
1. Put the images containing the faces to predict in [`/test/`](https://github.com/Ankur1401/Face-Recognition-using-FaceNet/tree/master/test) directory.
1. Open the repository directory in terminal and run following command:
```
python image_recognition.py
```
1. Output images will then be available in [`/test/predicted/`](https://github.com/Ankur1401/Face-Recognition-using-FaceNet/tree/master/test/predicted) directory.

1. __Live Face Recognition(Obviously using camera):__

Open the repository directory in terminal and run following command:
```
python live_recognition.py
```