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update readme

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Vladimir Mandic 2022-09-25 08:28:29 -04:00
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[![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/vladmandic)
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@ -354,18 +355,18 @@ And for even better results, you can run detection in a separate web worker thre
Default models in Human library are:
- **Face Detection**: MediaPipe BlazeFace Back variation
- **Face Mesh**: MediaPipe FaceMesh
- **Face Iris Analysis**: MediaPipe Iris
- **Face Description**: HSE FaceRes
- **Emotion Detection**: Oarriaga Emotion
- **Body Analysis**: MoveNet Lightning variation
- **Hand Analysis**: HandTrack & MediaPipe HandLandmarks
- **Body Segmentation**: Google Selfie
- **Object Detection**: CenterNet with MobileNet v3
- **Face Detection**: *MediaPipe BlazeFace Back variation*
- **Face Mesh**: *MediaPipe FaceMesh*
- **Face Iris Analysis**: *MediaPipe Iris*
- **Face Description**: *HSE FaceRes*
- **Emotion Detection**: *Oarriaga Emotion*
- **Body Analysis**: *MoveNet Lightning variation*
- **Hand Analysis**: *HandTrack & MediaPipe HandLandmarks*
- **Body Segmentation**: *Google Selfie*
- **Object Detection**: *CenterNet with MobileNet v3*
Note that alternative models are provided and can be enabled via configuration
For example, body pose detection by default uses `MoveNet Lightning`, but can be switched to `MultiNet Thunder` for higher precision or `Multinet MultiPose` for multi-person detection or even `PoseNet`, `BlazePose` or `EfficientPose` depending on the use case
For example, body pose detection by default uses *MoveNet Lightning*, but can be switched to *MultiNet Thunder* for higher precision or *Multinet MultiPose* for multi-person detection or even *PoseNet*, *BlazePose* or *EfficientPose* depending on the use case
For more info, see [**Configuration Details**](https://github.com/vladmandic/human/wiki/Configuration) and [**List of Models**](https://github.com/vladmandic/human/wiki/Models)
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<br>
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