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  • ManoMano
    ManoMano country landing site
  • GitHub - Mininglamp-AI Mano-P: Mano-P: Open-source GUI-VLA agent for . . .
    Mano-P: "Mano" means "hand" in Spanish, and "P" stands for Private We believe that both individuals and organizations can create their own Private AI, and a bright future of human-machine collaboration is on the horizon Mano-P is a GUI-VLA agent project designed specifically for edge devices
  • MANO
    To cope with low-resolution, occlusion, and noise, we develop a new model called MANO (hand Model with Articulated and Non-rigid defOrmations) MANO is learned from around 1000 high-resolution 3D scans of hands of 31 subjects in a wide variety of hand poses
  • MANO – Smart Storage Kitchen Solutions for Every Home
    MANO – simplifying your home, one smart organizer at a time Durable, practical, and stylish solutions for kitchen, storage, and everyday living
  • MANO
    It is either you are in another country, or outside our serviceable area You can still browse by selecting a serviceable area
  • 基于参数化模型 (MANO)的手势姿态估计---全面剖析
    本文深入解析了MANO参数化模型,介绍了其在手部姿态估计中的应用流程,包括数据处理、模型推理及手部解剖学特点。 MANO模型通过处理相机参数、形状和姿态参数,实现了从图像到三维姿态的有效估计。
  • A pytorch Implementation of MANO hand model - GitHub
    MANO is a differentiable hand model that can map hand pose parameters (joint angles and root location) and shape parameters into a 3D hand mesh The model is very realistic, has low-dimensions, and can fit any human hand
  • Mano App
    Welcome to Mano, Africa’s First Household Super App Mano is redefining e-commerce and logistics with AI-driven automation and predictive technology Designed for speed, reliability, and convenience, the MANO App is your all-in-one solution for everyday essentials
  • 数字人基础 | 3D手部参数化模型2017-2023 - 知乎
    To cope with low-resolution, occlusion, and noise, we develop a new model called MANO (hand M odel with A rticulated and N on-rigid def O rmations) [1] 其目的主要是针对从图像中恢复3D手部姿态的困难情况 (低分辨率、遮挡和噪声), 从而提出的一个新的手部参数化模型。
  • 纯视觉驱动的 GUI 自动化:Mano-P 开源架构与评测深度解读
    Mano-P 是一个专为边缘设备设计的 GUI-VLA(视觉-语言-行动)模型,既是一个开源项目,也是一套硬件软件协同的产品方案。 核心定位: 让模型通过纯视觉感知屏幕,自主规划并执行多步骤 GUI 任务,全程数据不出本地设备。 它支持在 M4 芯片 Mac mini 或 MacBook 上直接运行本地推理,也支持通过 USB 4 0 算力棒外接部署更大参数量的模型。 数据在哪里处理,完全由开发者掌控。 Mano-P 的执行循环是这样的: 执行操作(点击、输入、滚动、拖拽 ) 整个过程没有读取 UI 元素树,没有脚本注入,模型看到的就是用户看到的——一张截图。 这带来了真正的跨应用、跨平台泛化能力:只要是屏幕上能看到的,就能操作。





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