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--- |
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license: other |
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license_name: aplux-model-farm-license |
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license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf |
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pipeline_tag: keypoint-detection |
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tags: |
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- AIoT |
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- QNN |
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--- |
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## MediaPipe-Face-Detection：Facial Recognition |
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MediaPipe Face Detection is an ultrafast face detection solution that comes with 6 landmarks and multi-face support. It is based on BlazeFace, a lightweight and well-performing face detector tailored for mobile GPU inference. The detector's super-realtime performance enables it to be applied to any live viewfinder experience that requires an accurate facial region of interest as an input for other task-specific models, such as 3D facial keypoint estimation (e.g., MediaPipe Face Mesh), facial features or expression classification, and face region segmentation. |
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### Source model |
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- Input shape: 256x256 |
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- Number of parameters:0.13M, 0.6M |
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- Model size:0.58MB, 2.32MB |
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- Output shape: [1x896x16, 1x896x1], [1, 1x486x3] |
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Source model repository: [MediaPipe-Face-Detection](https://github.com/zmurez/MediaPipePyTorch/) |
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## Performance Reference |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## Inference & Model Conversion |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## License |
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- Source Model: [APACHE-2.0](https://github.com/zmurez/MediaPipePyTorch/blob/master/LICENSE) |
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- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf) |
