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Alexander Alekhin
2022-02-22 19:33:07 +00:00
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| | |
| -: | :- |
| Original Author | Chengrui Wang, Yuantao Feng |
| Compatibility | OpenCV >= 4.5.1 |
| Compatibility | OpenCV >= 4.5.4 |
## Introduction
In this section, we introduce the DNN-based module for face detection and face recognition. Models can be obtained in [Models](#Models). The usage of `FaceDetectorYN` and `FaceRecognizerSF` are presented in [Usage](#Usage).
In this section, we introduce cv::FaceDetectorYN class for face detection and cv::FaceRecognizerSF class for face recognition.
## Models
There are two models (ONNX format) pre-trained and required for this module:
- [Face Detection](https://github.com/ShiqiYu/libfacedetection.train/tree/master/tasks/task1/onnx):
- Size: 337KB
- [Face Detection](https://github.com/opencv/opencv_zoo/tree/master/models/face_detection_yunet):
- Size: 338KB
- Results on WIDER Face Val set: 0.830(easy), 0.824(medium), 0.708(hard)
- [Face Recognition](https://drive.google.com/file/d/1ClK9WiB492c5OZFKveF3XiHCejoOxINW/view?usp=sharing)
- [Face Recognition](https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface)
- Size: 36.9MB
- Results:
@@ -32,9 +32,7 @@ There are two models (ONNX format) pre-trained and required for this module:
| AgeDB-30 | 94.90% | 1.202 | 0.277 |
| CFP-FP | 94.80% | 1.253 | 0.212 |
## Usage
### DNNFaceDetector
## Code
@add_toggle_cpp
- **Downloadable code**: Click