#cplusplus #android #audio_processing #c_plus_plus #calculator #computer_vision #deep_learning #framework #graph_based #graph_framework #inference #machine_learning #mediapipe #mobile_development #perception #pipeline_framework #stream_processing #video_processing
MediaPipe is a tool that helps you add smart machine learning features to your apps and devices. It works on mobile, web, desktop, and other devices. You can use pre-made solutions for tasks like vision, text, and audio processing, or customize the models to fit your needs. MediaPipe also offers tools like Model Maker and Studio to help you create and test your solutions easily. This makes it easier to delight your customers with innovative features without needing deep machine learning expertise.
https://github.com/google-ai-edge/mediapipe
MediaPipe is a tool that helps you add smart machine learning features to your apps and devices. It works on mobile, web, desktop, and other devices. You can use pre-made solutions for tasks like vision, text, and audio processing, or customize the models to fit your needs. MediaPipe also offers tools like Model Maker and Studio to help you create and test your solutions easily. This makes it easier to delight your customers with innovative features without needing deep machine learning expertise.
https://github.com/google-ai-edge/mediapipe
GitHub
GitHub - google-ai-edge/mediapipe: Cross-platform, customizable ML solutions for live and streaming media.
Cross-platform, customizable ML solutions for live and streaming media. - google-ai-edge/mediapipe
#jupyter_notebook #estimation #perception #robotics #sensorfusion
GTSAM is an open-source C++ library for robot and vision work that helps with mapping and tracking by using factor graphs and Bayes networks. It also has Python and MATLAB support, so you can use it in more than one language. This helps you build more accurate and efficient systems for navigation, SLAM, and IMU data without starting from scratch.
https://github.com/borglab/gtsam
GTSAM is an open-source C++ library for robot and vision work that helps with mapping and tracking by using factor graphs and Bayes networks. It also has Python and MATLAB support, so you can use it in more than one language. This helps you build more accurate and efficient systems for navigation, SLAM, and IMU data without starting from scratch.
https://github.com/borglab/gtsam
GitHub
GitHub - borglab/gtsam: GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using…
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m...