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README.md
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# LiteHRNet: Optimized for Mobile Deployment
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## Human pose estimation
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LiteHRNet is a machine learning model that detects human pose and returns a location and confidence for each of 17 joints.
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This model is an implementation of
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This repository provides scripts to run LiteHRNet 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/litehrnet).
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# LiteHRNet: Optimized for Mobile Deployment
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## Human pose estimation
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LiteHRNet is a machine learning model that detects human pose and returns a location and confidence for each of 17 joints.
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This model is an implementation of Posenet-Mobilenet found [here](https://github.com/HRNet/Lite-HRNet).
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This repository provides scripts to run LiteHRNet 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/litehrnet).
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