We have launched the "Human Pose Estimation" website in 2023. And just in few months, it became popular amongs people as people find it easy, safe, and secure website. We help people to estimation poses and recognition gesture while doing exercise and yoga. To Know More Visit our "Pose Estimation" Home Page.
"First Product Is Never The Final Product", we belive. Our aim is to improve this website at it's easiest and simplest way to detect single and multiple poses. This project consumed a huge amount of work, research and dedication. Still, implementation would not have been possible if we did not have the support from our team members, organizations and free open source in built Tensor Flow libraries.
The objective is to introduce human pose estimation model, then classified pose estimation based on tracing the number of people as a single or multi-person. Furthermore, approaches used in pose estimation and discuss its applications.
We selected the pose net model for our purpose and learned about its pros and cons over other models. Our aim is to set up the PoseNet model along with TensorFlow.js in a React project from the TensorFlow library.
If you find difficulties we will provide assistance, if it is difficult to use Human Pose Estimation website. Please feel free to contact our support team. You can also leave a text message to get in touch with us. We will be pleased to solve your querries within 24 hours.
The Human pose estimation vision is to localize human anatomical
keypoints or joints. (For Example. head, shoulder, elbow, wrist, etc.) A web
application that knows how to estimate what pose a participant found at (stand,
squat, pushup). Count how many repeats a participant has done.
Pose estimation is a captivating computer vision component utilized by multiple domains, including technology, healthcare, gaming, etc.
And Our Goal Is
to Make this website easy-user friendly with several features that will help people
From every part of the world.