| # Progressive Teacher | |
| Progressive Teacher: [Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher](https://scholar.google.com/citations?view_op=view_citation&hl=zh-CN&user=OCwcfAwAAAAJ&citation_for_view=OCwcfAwAAAAJ:u5HHmVD_uO8C) | |
| Note: | |
| - Progressive Teacher is contributed by [Jing Jiang](https://scholar.google.com/citations?user=OCwcfAwAAAAJ&hl=zh-CN). | |
| - [MobileFaceNet](https://link.springer.com/chapter/10.1007/978-3-319-97909-0_46) is used as the backbone and the model is able to classify seven basic facial expressions (angry, disgust, fearful, happy, neutral, sad, surprised). | |
| - [facial_expression_recognition_mobilefacenet_2022july.onnx](https://github.com/opencv/opencv_zoo/raw/master/models/facial_expression_recognition/facial_expression_recognition_mobilefacenet_2022july.onnx) is implemented thanks to [Chengrui Wang](https://github.com/crywang). | |
| Results of accuracy evaluation on [RAF-DB](http://whdeng.cn/RAF/model1.html). | |
| | Models | Accuracy | | |
| |-------------|----------| | |
| | Progressive Teacher | 88.27% | | |
| ## Demo | |
| ***NOTE***: This demo uses [../face_detection_yunet](../face_detection_yunet) as face detector, which supports 5-landmark detection for now (2021sep). | |
| Run the following command to try the demo: | |
| ```shell | |
| # recognize the facial expression on images | |
| python demo.py --input /path/to/image -v | |
| ``` | |
| ### Example outputs | |
| Note: Zoom in to to see the recognized facial expression in the top-left corner of each face boxes. | |
|  | |
| ## License | |
| All files in this directory are licensed under [Apache 2.0 License](./LICENSE). | |
| ## Reference | |
| - https://ieeexplore.ieee.org/abstract/document/9629313 | |