mirror of https://github.com/vladmandic/human
document body segmentation
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8e898a636f
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@ -172,6 +172,14 @@ const config: Config = {
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skipFrames: 41, // how many max frames to go without re-running the detector
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// only used when cacheSensitivity is not zero
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},
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segmentation: {
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enabled: false, // if segmentation is enabled, output result.canvas will be augmented
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// with masked image containing only person output
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modelPath: 'selfie.json', // experimental: object detection model, can be absolute path or relative to modelBasePath
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// can be 'selfie' or 'meet'
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},
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};
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```
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@ -25,7 +25,7 @@ All models are modified from original implementation in following manner:
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- Output interpolation: custom smoothing operations
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- Model modifications:
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- Model definition: reformatted for readability, added conversion notes and correct signatures
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- Model weights: quantized to 16-bit float for size reduction
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- Model weights: quantized to 16-bit float values for size reduction
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Models are not re-trained so any bias included in the original models is present in `Human`
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*For any possible bias notes, see specific model cards*
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@ -108,6 +108,8 @@ but can be switched on-the-fly due to standardized output implementation
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- Body Pose Detection: [**PoseNet**](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5)
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- Body Pose Detection: [**MoveNet**](https://blog.tensorflow.org/2021/05/next-generation-pose-detection-with-movenet-and-tensorflowjs.html)
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- Body Pose Detection: [**EfficientPose**](https://github.com/daniegr/EfficientPose)
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- Body Segmentation: [**MediaPipe Meet**](https://drive.google.com/file/d/1lnP1bRi9CSqQQXUHa13159vLELYDgDu0/preview)
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- Body Segmentation: [**MediaPipe Selfie**](https://drive.google.com/file/d/1dCfozqknMa068vVsO2j_1FgZkW_e3VWv/preview)
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- Age & Gender Prediction: [**SSR-Net**](https://github.com/shamangary/SSR-Net)
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- Emotion Prediction: [**Oarriaga**](https://github.com/oarriaga/face_classification)
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- Face Embedding: [**BecauseofAI MobileFace**](https://github.com/becauseofAI/MobileFace)
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