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…
]]>Human pose estimation is a popular computer vision task of estimating key points on a person’s body such as eyes, arms, and legs. This can help classify a person’s actions, such as standing, sitting, walking, lying down, jumping, and so on. Understanding the context of what a person might be doing in a scene has broad application across a wide range of industries. In a retail setting…
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