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+ ---
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+ language:
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+ - zh
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+ tags:
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+ - hisilicon
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+ - hispark
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+ - npu
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+ - openharmony
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+ - modelzoo
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+ - pytorch
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+ ---
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+
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+ # GraspNet
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+
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+ GraspNet是一种基于点云输入的多阶段抓取姿态预测模型,由抓取视角估计和抓取姿态生成两个阶段组成,通过特征提取、视角估计、局部特征提取、抓取参数估计和预测解码一系列处理,最终生成包含抓取评分、抓取宽度、抓取高度、抓取深度、旋转矩阵、抓取中心点和物体ID的预测结果,旨在解决机器人抓取任务中的6D抓取姿态估计问题。
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+
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+ ## Mirror Metadata
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+
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+ - Hugging Face repo: shadow-cann/hispark-modelzoo-graspnet
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+ - Portal model id: iodtp8ht0400
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+ - Created at: 2026-02-09 19:42:15
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+ - Updated at: 2026-02-12 11:24:22
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+ - Category: 计算机视觉
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+
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+ ## Framework
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+
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+ - PyTorch
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+
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+ ## Supported OS
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+
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+ - OpenEuler
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+
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+ ## Computing Power
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+
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+ - Hi3591PV100
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+
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+ ## Tags
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+
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+ - 具身智能
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+
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+ ## Detail Parameters
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+
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+ - 计算量: 71.121GFLOPs
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+ - 输入: 720x1280
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+ - 参数量: 2.397M
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+
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+ ## Files In This Repo
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+
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+ - graspnet[该模型文件仅用于非商用].onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
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+
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+ ## Upstream Links
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+
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+ - Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=iodtp8ht0400
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+ - Upstream repository: https://gitee.com/HiSpark/modelzoo/blob/master/samples/built-in/embodied_intelligence/GraspNet/README.md
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+ - License reference: https://github.com/graspnet/graspnet-baseline/blob/main/LICENSE
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+
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+ ## Notes
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+
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+ - This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
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+ - File ownership follows the portal card mapping, not just filename similarity.
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+ - Cover image: 1726646426140674_graspnet_16_9.jpg
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+ "name": "GraspNet",
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+ "description": "GraspNet是一种基于点云输入的多阶段抓取姿态预测模型,由抓取视角估计和抓取姿态生成两个阶段组成,通过特征提取、视角估计、局部特征提取、抓取参数估计和预测解码一系列处理,最终生成包含抓取评分、抓取宽度、抓取高度、抓取深度、旋转矩阵、抓取中心点和物体ID的预测结果,旨在解决机器人抓取任务中的6D抓取姿态估计问题。",
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