Tensorflow Multi-Person Pose Estimation with Python - Machine Learning Tutorial

Learn to implement multi-person pose estimation using TensorFlow and Python in this comprehensive machine learning tutorial. Explore the MoveNet Lightning model from TensorFlow Hub, which combines MobileNetv2, Feature Pyramid Networks, and CenterNet architectures. Follow along to set up the environment, load and preprocess data, run inference, and visualize results. Gain hands-on experience with state-of-the-art computer vision techniques for detecting multiple human poses in images and video. Access the provided GitHub repository for code samples and additional resources. Connect with the instructor on various platforms for further discussion and support in your machine learning journey.