Pose Estimation

May 06, 2024
Automating Smart Pick-and-Place with Intrinsic Flowstate and NVIDIA Isaac Manipulator
We are announcing our collaboration with Intrinsic.ai on learning foundation skill models for industrial robotics tasks. Many pick-and-place problems in...
4 MIN READ

Jan 23, 2024
Build Vision AI Applications at the Edge with NVIDIA Metropolis Microservices and APIs
NVIDIA Metropolis Microservices for Jetson has been renamed to Jetson Platform Services, and is now part of NVIDIA JetPack SDK 6.0. NVIDIA Metropolis...
13 MIN READ

Jan 18, 2024
Generate Synthetic Data for Deep Object Pose Estimation Training with NVIDIA Isaac ROS
For robotic agents to interact with objects in their environment, they must know the position and orientation of objects around them. This information describes...
9 MIN READ

Jan 24, 2023
Boost Edge AI Performance with the New NVIDIA Jetson Orin NX 16GB
Building on the momentum from last year’s expansion of NVIDIA Jetson edge AI devices, the NVIDIA Jetson Orin NX 16 GB module is now available for purchase...
3 MIN READ

Jan 12, 2023
Improve Human Connection in Video Conferences with NVIDIA Maxine Eye Contact
Video conferencing is at the heart of several streaming use cases, such as vlogging, vtubing, webcasting, and even video streaming for remote work. To create an...
9 MIN READ

Dec 08, 2022
Building an End-to-End Retail Analytics Application with NVIDIA DeepStream and NVIDIA TAO Toolkit
Retailers today have access to an abundance of video data provided by cameras and sensors installed in stores. Leveraging computer vision AI applications,...
12 MIN READ

Sep 21, 2022
Solving Entry-Level Edge AI Challenges with NVIDIA Jetson Orin Nano
At GTC 2022, NVIDIA announced the Jetson Orin Nano series of system-on-modules (SOMs). They deliver up to 80X the AI performance of NVIDIA Jetson Nano and set...
8 MIN READ

Jun 17, 2022
Expedite the Development, Testing, and Training of AI Robots with Isaac Sim
Today, NVIDIA announced the availability of the 2022.1 release of NVIDIA Isaac Sim. As a robotics simulation and synthetic data generation (SDG) tool, this...
3 MIN READ

May 24, 2022
Improve Perception Performance for ROS 2 Applications with NVIDIA Isaac Transport for ROS
Working in collaboration since October 2021, NVIDIA and Open Robotics are introducing two important changes, now available in the Humble ROS 2 release for...
6 MIN READ

May 23, 2022
The Future of Computer Vision
Computer vision is a rapidly growing field in research and applications. Advances in computer vision research are now more directly and immediately applicable...
9 MIN READ

Jun 10, 2021
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

Jun 10, 2021
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

Jun 08, 2021
NVIDIA Research: Fast Uncertainty Quantification for Deep Object Pose Estimation
Researchers from NVIDIA, University of Texas at Austin and Caltech developed a simple, efficient, and plug-and-play uncertainty quantification method for the...
3 MIN READ

Nov 25, 2020
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

Sep 29, 2020
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. This helps...
17 MIN READ

Sep 03, 2020
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