MLOps: OpenVino Toolkit for Pose Estimation and Inference on CPU

Explore pose estimation techniques and their implementation using the OpenVino Toolkit in this 50-minute video tutorial. Dive into the world of computer vision as you learn about Pose Introduction and examine practical examples utilizing MoveNet and Multi-person 3D human pose estimation, all executed on CPU. Follow along with hands-on demonstrations and access the accompanying notebook for a deeper understanding of the concepts. Gain valuable insights into MLOps practices and enhance your skills in data science and machine learning through this comprehensive exploration of pose estimation and inference techniques.