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README.md
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# SINet: Optimized for Mobile Deployment
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## Lightweight portrait segmentation for background removal
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SINet is a machine learning model that is designed to segment people from close-up portrait images in real time.
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This model is an implementation of
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This repository provides scripts to run SINet on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/sinet).
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# SINet: Optimized for Mobile Deployment
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## Lightweight portrait segmentation for background removal
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SINet is a machine learning model that is designed to segment people from close-up portrait images in real time.
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This model is an implementation of Posenet-Mobilenet found [here](https://github.com/clovaai/ext_portrait_segmentation).
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This repository provides scripts to run SINet on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/sinet).
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