TensorFlow Introduces It's Latest Model 'MoveNet' for Next-Generation Pose Detection

TensorFlow recently launched its latest pose detection model, MoveNet, with a new pose-detection API in TensorFlow.js. MoveNet is a very fast and accurate model that detects 17 keypoints of a body. The model is offered with two variants, called Lightning and Thunder. Both the models run faster than real time (i.e.,30 FramesPerSecond) on most modern desktops, laptops, and phones. The models run completely on client-side, in the browser using TensorFlow.js Human pose estimation has developed a lot; however, it hasn't surfaced in many applications, mainly because more focus has been placed on making pose models larger and more accurate than making them faster and easily deployable everywhere.