Linux-Hello/models/README.md

Face Detection Models

This directory contains ONNX model files for face detection and embedding.

Required Models

BlazeFace (Face Detection)

• File: blazeface.onnx
• Purpose: Fast face detection
• Input: RGB image [1, 3, 128, 128]
• Output: Bounding boxes and confidence scores

Download from: https://github.com/onnx/models/tree/main/vision/body_analysis/ultraface

MobileFaceNet (Face Embedding)

• File: mobilefacenet.onnx
• Purpose: Face feature extraction
• Input: Aligned face [1, 3, 112, 112]
• Output: 128-dimensional embedding

Download from: https://github.com/onnx/models

Model Conversion

If you have models in other formats, convert to ONNX using:

# From TensorFlow
python -m tf2onnx.convert --saved-model ./model --output model.onnx

# From PyTorch
import torch
torch.onnx.export(model, dummy_input, "model.onnx")

License

Please ensure you comply with the licenses of any models you download:

• BlazeFace: Apache 2.0
• MobileFaceNet: MIT
• ArcFace: MIT