Training and Optimizing a 2D Pose Estimation Model with NVIDIA TAO Toolkit, Part 2 – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-13T20:13:39Z http://www.open-lab.net/blog/feed/ Sakthivel Sivaraman <![CDATA[Training and Optimizing a 2D Pose Estimation Model with NVIDIA TAO Toolkit, Part 2]]> http://www.open-lab.net/blog/?p=32448 2022-08-21T23:51:49Z 2021-06-10T23:00:00Z The first post in this series covered how to train a 2D pose estimation model using an open-source COCO dataset with the BodyPoseNet app in NVIDIA TAO Toolkit....]]> The first post in this series covered how to train a 2D pose estimation model using an open-source COCO dataset with the BodyPoseNet app in NVIDIA TAO Toolkit....

The first post in this series covered how to train a 2D pose estimation model using an open-source COCO dataset with the BodyPoseNet app in NVIDIA TAO Toolkit. In this post, you learn how to optimize the pose estimation model in TAO Toolkit. It walks you through the steps of model pruning and INT8 quantization to optimize the model for inference. This section covers few topics of��

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