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feat: Add YOLOv5 face detection support (#26)

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* feat: Add YOLOv5 face detection model

* docs: Update docs, add new model information

* feat: Add YOLOv5 face detection model

* test: Add testing and running
This commit is contained in:
Yakhyokhuja Valikhujaev
2025-12-03 23:35:56 +09:00
committed by GitHub
parent a5e97ac484
commit 6b1d2a1ce6
12 changed files with 498 additions and 178 deletions
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@@ -7,7 +7,6 @@
[![Downloads](https://pepy.tech/badge/uniface)](https://pepy.tech/project/uniface)
[![DeepWiki](https://img.shields.io/badge/DeepWiki-yakhyo%2Funiface-blue.svg?logo=data:image/png;base64,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)](https://deepwiki.com/yakhyo/uniface)
<div align="center">
<img src=".github/logos/logo_web.webp" width=75%>
</div>
@@ -190,8 +189,8 @@ landmarker = Landmark106()
### Direct Model Instantiation
```python
from uniface import RetinaFace, SCRFD, ArcFace, MobileFace, SphereFace
from uniface.constants import RetinaFaceWeights
from uniface import RetinaFace, SCRFD, YOLOv5Face, ArcFace, MobileFace, SphereFace
from uniface.constants import RetinaFaceWeights, YOLOv5FaceWeights
# Detection
detector = RetinaFace(
@@ -200,6 +199,13 @@ detector = RetinaFace(
nms_thresh=0.4
)
# YOLOv5-Face detection
detector = YOLOv5Face(
model_name=YOLOv5FaceWeights.YOLOV5S,
conf_thresh=0.6,
nms_thresh=0.5
)
# Recognition
recognizer = ArcFace() # Uses default weights
recognizer = MobileFace() # Lightweight alternative
@@ -228,8 +234,10 @@ faces = detect_faces(image, method='retinaface', conf_thresh=0.8)
| retinaface_r34 | 94.16% | 93.12% | 88.90% | High accuracy |
| scrfd_500m | 90.57% | 88.12% | 68.51% | Real-time applications |
| scrfd_10g | 95.16% | 93.87% | 83.05% | Best accuracy/speed |
| yolov5s_face | 94.33% | 92.61% | 83.15% | Real-time + accuracy |
| yolov5m_face | 95.30% | 93.76% | 85.28% | High accuracy |
_Accuracy values from original papers: [RetinaFace](https://arxiv.org/abs/1905.00641), [SCRFD](https://arxiv.org/abs/2105.04714)_
_Accuracy values from original papers: [RetinaFace](https://arxiv.org/abs/1905.00641), [SCRFD](https://arxiv.org/abs/2105.04714), [YOLOv5-Face](https://arxiv.org/abs/2105.12931)_
**Benchmark on your hardware:**
@@ -443,20 +451,12 @@ uniface/
## References
### Model Training & Architectures
- **RetinaFace Training**: [yakhyo/retinaface-pytorch](https://github.com/yakhyo/retinaface-pytorch) - PyTorch implementation and training code
- **YOLOv5-Face Original**: [deepcam-cn/yolov5-face](https://github.com/deepcam-cn/yolov5-face) - Original PyTorch implementation
- **YOLOv5-Face ONNX**: [yakhyo/yolov5-face-onnx-inference](https://github.com/yakhyo/yolov5-face-onnx-inference) - ONNX inference implementation
- **Face Recognition Training**: [yakhyo/face-recognition](https://github.com/yakhyo/face-recognition) - ArcFace, MobileFace, SphereFace training code
- **InsightFace**: [deepinsight/insightface](https://github.com/deepinsight/insightface) - Model architectures and pretrained weights
### Papers
- **RetinaFace**: [Single-Shot Multi-Level Face Localisation in the Wild](https://arxiv.org/abs/1905.00641)
- **SCRFD**: [Sample and Computation Redistribution for Efficient Face Detection](https://arxiv.org/abs/2105.04714)
- **ArcFace**: [Additive Angular Margin Loss for Deep Face Recognition](https://arxiv.org/abs/1801.07698)
---
## Contributing
Contributions are welcome! Please open an issue or submit a pull request on [GitHub](https://github.com/yakhyo/uniface).