final-project

National Action Council for Minorities in Engineering(NACME) Google Applied Machine Learning Intensive (AMLI) at the University Of Arkansas

Developed by:

• Sam Lefforge - University Of Arkansas
• Alejandra Barroso - University Of Arkansas
• A'Darius Lee - University Of Arkansas

Description

Our project goes through several iterations of facial detection and facial recognition models. In the end, the functionality includes predicting an identity based on an uploaded file, a photo taken live from the webcam, and in the demos, even identification from a live video feed. Below are some examples of our program at work.

Usage instructions

For Running the Demos:

1. Fork this repo
2. Change directories into your project
3. On the command line, type pip3 install requirements.txt
4. Navigate to /demos/live_webcam_demo or /demos/live_webcam_demo_2
5. Run the command 'python live_webcam_demo' or 'python live_webcam_demo_2' respectively

For Running the Notebook:

1. Fork this repo
2. Change directories into your project
3. Open Colab
4. Upload the file 'Facial_Recognition_Capstone.ipynb'
5. Put the contents of this repo's /drive/MyDrive/ into your Google account's respective /drive/MyDrive/
6. Run each code block in order