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  1. May 14, 2024 · MediaPipe Studio is a web-based application for evaluating and customizing on-device ML models and pipelines for your applications. The app lets you quickly test MediaPipe solutions in your browser with your own data, and your own customized ML models.

  2. May 14, 2024 · MediaPipe Models: Pre-trained, ready-to-run models for use with each solution. These tools let you customize and evaluate solutions: MediaPipe Model Maker: Customize models for solutions with your data. Learn more; MediaPipe Studio: Visualize, evaluate, and benchmark solutions in your browser. Learn more; Available solutions

  3. MediaPipe models: Pre-trained, ready-to-run models for use with each solution. These tools let you customize and evaluate solutions: MediaPipe Model Maker: Customize models for solutions with your data. Learn more. MediaPipe Studio: Visualize, evaluate, and benchmark solutions in your browser. Learn more.

  4. chuoling.github.io › mediapipeHome - mediapipe

    MediaPipe offers cross-platform, customizable ML solutions for live and streaming media. End-to-End acceleration: Built-in fast ML inference and processing accelerated even on common hardware. Build once, deploy anywhere: Unified solution works across Android, iOS, desktop/cloud, web and IoT.

  5. May 21, 2024 · The MediaPipe Examples repository contains example Android applications for each MediaPipe task. You can create a project from the example code, build the project, and then run it. To import and build the example code project: Start Android Studio. From the Android Studio, select File > New > Import Project.

  6. May 11, 2023 · MediaPipe Studio. Our first MediaPipe tool lets you view and test MediaPipe-compatible models on the web, rather than having to create your own custom testing applications. You can even use MediaPipe Studio in preview right now to try out the new tasks mentioned here, and all the extras, by visiting the MediaPipe Studio page.

  7. chuoling.github.io › mediapipe › getting_startedInstallation - mediapipe

    Option 1. Use package manager tool to install the pre-compiled OpenCV libraries. FFmpeg will be installed via libopencv-video-dev. $ sudo apt-get install -y \ . libopencv-core-dev \ . libopencv-highgui-dev \ . libopencv-calib3d-dev \ . libopencv-features2d-dev \ . libopencv-imgproc-dev \ . libopencv-video-dev.

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