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# Progressive Teacher |
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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) |
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Note: |
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- Progressive Teacher is contributed by [Jing Jiang](https://scholar.google.com/citations?user=OCwcfAwAAAAJ&hl=zh-CN). |
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- [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). |
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- [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). |
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- `facial_expression_recognition_mobilefacenet_2022july_int8bq.onnx` represents the block-quantized version in int8 precision and is generated using [block_quantize.py](../../tools/quantize/block_quantize.py) with `block_size=64`. |
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Results of accuracy evaluation on [RAF-DB](http://whdeng.cn/RAF/model1.html). |
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| Models | Accuracy | |
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|-------------|----------| |
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| Progressive Teacher | 88.27% | |
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## Demo |
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***NOTE***: This demo uses [../face_detection_yunet](../face_detection_yunet) as face detector, which supports 5-landmark detection for now (2021sep). |
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### Python |
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Run the following command to try the demo: |
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```shell |
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# recognize the facial expression on images |
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python demo.py --input /path/to/image -v |
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``` |
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### C++ |
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Install latest OpenCV and CMake >= 3.24.0 to get started with: |
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```shell |
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# A typical and default installation path of OpenCV is /usr/local |
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cmake -B build -D OPENCV_INSTALLATION_PATH=/path/to/opencv/installation . |
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cmake --build build |
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# detect on camera input |
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./build/opencv_zoo_face_expression_recognition |
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# detect on an image |
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./build/opencv_zoo_face_expression_recognition -i=/path/to/image |
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# get help messages |
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./build/opencv_zoo_face_expression_recognition -h |
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``` |
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### Example outputs |
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Note: Zoom in to to see the recognized facial expression in the top-left corner of each face boxes. |
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## License |
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All files in this directory are licensed under [Apache 2.0 License](./LICENSE). |
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## Reference |
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- https://ieeexplore.ieee.org/abstract/document/9629313 |
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