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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.
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
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.
May 21, 2024 · The MediaPipe Gesture Recognizer task lets you recognize hand gestures in real time, and provides the recognized hand gesture results along with the landmarks of the detected hands. You can use this task to recognize specific hand gestures from a user, and invoke application features that correspond to those gestures.
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.
Use low-code APIs or no-code studio to customize, evaluate, prototype, and deploy. Innovative Advanced ML solutions for popular tasks, crafted with Google ML expertise.
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.
Oct 5, 2023 · 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.
MediaPipe Tasks (low-code): create and deploy custom e2e ML solution pipelines; MediaPipe Model Maker (low-code): create custom ML models from advanced solutions; MediaPipe Studio (no-code): create, evaluate, debug, benchmark, prototype, deploy advanced production-level solutions
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.
