Contents
What is MediaPipe?
MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines. video, audio, any time series data), cross platform (i.e Android, iOS, web, edge devices) applied ML pipelines.
What is AlphaPose?
AlphaPose is an accurate multi-person pose estimator, which is the first open-source system that achieves 70+ mAP (75 mAP) on COCO dataset and 80+ mAP (82.1 mAP) on MPII dataset. To match poses that correspond to the same person across frames, we also provide an efficient online pose tracker called Pose Flow.
What do the key points in posenet mean?
Based on this value, the model will decide to show predicted poses or hide them. Key point — From the image, parts of a person’s pose that are estimated, such as the nose, right ear, left knee, right foot, etc. Key points contain both a position and a related key point confidence score.
How is human pose estimation used in computer vision?
Human pose estimation is a computer vision technique used to predict the position/pose of body parts or joint positions of a person. This is done by defining joints of a human body like wrists, elbows, knees, and ankles (also called key points) in images or videos.
How is pose estimation used in machine learning?
Pose estimation, or the ability to detect humans and their poses from image data, is one of the most exciting — and most difficult — topics in machine learning and computer vision. Recently, Google shared PoseNet: a state-of-the-art pose estimation model that provides highly accurate pose data from image data…
How does Google’s posenet help with pose estimation?
Recently, Google shared PoseNet: a state-of-the-art pose estimation model that provides highly accurate pose data from image data (even when those images are blurry, low-resolution, or in black and white). This is the story of the experiment that prompted us to create this pose estimation library for the web in the first place.
https://www.youtube.com/watch?v=9jQGsUidKHs