first commit

models/README.md

@@ -0,0 +1,41 @@
+# 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:
+
+```bash
+# 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