.claude/skills/mediapipeRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
on-device ML pipeline framework for vision, text, audio, and LLM inference. Cross-platform deployment to Android, iOS, web, desktop, edge devices, and IoT.
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.claude/skills/mediapipeRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/mediapipeRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/mediapipeRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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sha256:0264166b09b5b5db855c6901f0a2a9b5750c1c5ee9f575940bc7694788b39eafskill-card.mdSKILL.mdInitial release of the mediapipe skill, providing comprehensive documentation and examples for the Google MediaPipe machine learning framework. - Introduces MediaPipe’s cross-platform ML pipeline framework for vision, text, audio, and LLM inference. - Covers main pipeline components: Solutions, Tasks, Model Maker, Studio, and the low-level framework. - Details installation steps for Python, Android, iOS, and Web/JavaScript environments. - Provides quick-start Python examples for face detection, hand and pose landmarking, object detection, text classification, and landmark visualization. - Documents supported vision tasks, available models, output formats, and task-specific options for easy reference.