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Training and Optimizing a 2D Pose Estimation Model with NVIDIA TAO Toolkit, Part 2

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. 12 MIN READ
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Training and Optimizing a 2D Pose Estimation Model with NVIDIA TAO Toolkit, Part 1

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… 14 MIN READ
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Creating a Human Pose Estimation Application with NVIDIA DeepStream

Human pose estimation is the computer vision task of estimating the configuration (‘the pose’) of the human body by localizing certain key points on a body… 20 MIN READ
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Enhancing Robotic Applications with the NVIDIA Isaac SDK 3D Object Pose Estimation Pipeline

In robotics applications, 3D object poses provide crucial information to downstream algorithms such as navigation, motion planning, and manipulation. 17 MIN READ
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Improving the NVIDIA Isaac 3D Pose Estimation Model with Feature Map Explorer

As many would probably agree, the development of a winning deep learning model is an iterative process of fine-tuning both the model architecture and… 10 MIN READ