README.md

metadata

title: Face Recognition
emoji: 🖼
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 5.0.1
app_file: app.py
pinned: false
license: mit
short_description: Trained model to recognize faces
startup_duration_timeout: 2h

---

license: mit

Face Recognition Model

"CSSE416-final-project/face-recognition" is the Hugging Face (HF) repository for the Face Recognition Application. It runs the HF faceRecogModel

Files

• app.py
  • App code to take-in an image, process it, feed it into the model, and format its outputs.
• face_detection.py
  • Crops group photos into various individual person photos to feed into the model
• celeb_indicies.py
  • List of all the celebrities our model can identify (used to match output index of model to celebrity name)
• dlib-19.24.99-cp310-cp310-linux_x86_64.whl
  • Pre-compiled dlib library needed to use the face-recognition library, which identifies and extracts the faces in the images we upload.
• DS_Store
• Arial Bold.ttf
• requirements.txt
  • Standard file used by the HF Space to determine which libraries it needs.

Datasource

• Upload your image via camera, clipboard (copy and pasting), or dragging and dropping a picture file into the UI
• For large scale testing, check out the model itself

Neccessary Package

• Since the model all runs on Hugging Face, you don't need to install any packages.
• However, if you do want to run the model locally, you will need to install these following packages:
  • pillow
  • gradio
  • numpy
  • diffusers
  • torchvision
  • torch
  • huggingface_hub
  • typing
  • accelerate
  • invisible_watermark
  • transformers
  • xformers
  • face-recognition

Running

• The app runs the model out of the box by simple visiting the URL for the HF Space.
• Alternatively, if you want to test the model locally, you can download the repo and run "app.py"