Interactive Notebooks
Run UniFace examples directly in your browser with Google Colab, or download and run locally with Jupyter.
Available Notebooks
| Notebook | Colab | Description |
|---|---|---|
| Face Detection | Detect faces and 5-point landmarks | |
| Face Alignment | Align faces for recognition | |
| Face Verification | Compare faces for identity | |
| Face Search | Find a person in group photos | |
| Face Analyzer | All-in-one face analysis | |
| Face Parsing | Semantic face segmentation | |
| Face Anonymization | Privacy-preserving blur | |
| Gaze Estimation | Gaze direction estimation |
Running Locally
Download and run notebooks on your machine:
# Clone the repository
git clone https://github.com/yakhyo/uniface.git
cd uniface
# Install dependencies
pip install uniface jupyter
# Launch Jupyter
jupyter notebook examples/
Running on Google Colab
Click any "Open in Colab" badge above. The notebooks automatically:
- Install UniFace via pip
- Clone the repository to access test images
- Set up the correct working directory
GPU Acceleration
In Colab, go to Runtime → Change runtime type → GPU for faster inference.
Next Steps
- Quickstart - Code snippets for common use cases
- Tutorials - Step-by-step workflow guides
- API Reference - Detailed module documentation