Sapiens, a family of foundational Human Vision Models by Rawal et al., from Meta, achieves state-of-the-art results for human centric tasks like 2D pose estimation, body-part segmentation, depth ...
Introducing YOLO-NAS Pose: A Leap in Pose Estimation Technology
YOLO-NAS Pose models is the latest contribution to the field of Pose Estimation. Earlier this year, Deci garnered widespread recognition for its groundbreaking object detection foundation model, ...
Object Keypoint Similarity in Keypoint Detection
In the constantly evolving field of computer vision, understanding the precise structure and pose of objects is essential. Whether it's detecting a specific object in a cluttered scene or analyzing ...
CenterNet: Objects as Points – Anchor Free Object Detection Explained
Anchor free object detection is powerful because of its speed and generalizability to other computer vision tasks. "CenterNet: Object as Points" is one of the milestones in the anchor-free object ...
Human Pose Estimation using Keypoint RCNN in PyTorch
Human Pose Estimation is an important research area in the field of Computer Vision. It deals with estimating unique points on the human body, also called keypoints. In this blog post, we will discuss ...
Deep Learning based Human Pose Estimation using OpenCV
In this tutorial, Deep Learning based Human Pose Estimation using OpenCV. We will explain in detail how to use a pre-trained Caffe model that won the COCO keypoints challenge in 2016 in your own ...