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Using Mediapipe to Create Cross Platform Machine Learning Applications With React - Shivay Lamba
"Learn how to build cross-platform machine learning apps with React using MediaPipe, a powerful open-source framework for computer vision and machine learning, ideal for AR filters, makeup, and other applications."
- MediaPipe is a cross-platform framework that helps build perception pipelines.
- It’s used in various applications, including AR lipstick try-on, Google Lens, and YouTube.
- MediaPipe uses a graph data structure with nodes and edges, and calculators for transformations.
- It’s open-source and has been used in research-based products by Google.
- MediaPipe provides a range of solutions, including face mesh, holistic tracking, selfie segmentation, and hair segmentation.
- It can be easily integrated with React and other technologies.
- MediaPipe’s solutions can be used to build applications such as AR filters, makeup, and fitness applications.
- The framework provides end-to-end acceleration, making it possible to build complex machine learning models in a single pipeline.
- MediaPipe can be used on various devices, including Android, iOS, and Raspberry Pi.
- The framework provides a simple and easy-to-use API, making it accessible to developers without extensive machine learning knowledge.
- MediaPipe’s solutions can be used to build applications that require computer vision and machine learning capabilities, such as object detection, object tracking, and pose estimation.