https://github.com/skp-1997/identityrecognition

Identifies the people by matching their faces with the existing faces in the database
https://github.com/skp-1997/identityrecognition

deep-learning face-recognition flask-api mtcnn-face-detection postman

Last synced: 2 months ago
JSON representation

Identifies the people by matching their faces with the existing faces in the database

• Host: GitHub
• URL: https://github.com/skp-1997/identityrecognition
• Owner: skp-1997
• Created: 2023-09-06T03:10:45.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-18T21:39:49.000Z (over 1 year ago)
• Last Synced: 2025-01-02T14:34:46.570Z (4 months ago)
• Topics: deep-learning, face-recognition, flask-api, mtcnn-face-detection, postman
• Language: Python
• Homepage:
• Size: 8.23 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        


# IdentityRecognition

Identifies the people by matching their faces with the existing faces in the database using DeepFace library and MongoDB as a database

![conversions_65088c906bfe9800252eb806_conversion_V4](https://github.com/skp-1997/IdentityRecognition/assets/97504177/fcc628c9-c78a-49fc-8d5c-6d8aa85cda23)

# Running the setup

Run the face detection API

```

python detectFace.py

```

Run the training API

```

python trainFaceAPI.py

```

Make sure you provided correct metadata in .env file

# Training new faces

For training faces, use PostMan for sending request to training API.



# Testing individual faces

To check whether training has been properly done, send API request using PostMan.



# To get results on the video file / Camera, run 

```

python livestream.py

```

Provide the path of the input video file or use '0' to run on machine camera in .env file