YOLOv10s

YOLOv10 引入了一种新的实时目标检测方法,解决了以前YOLO 版本在后处理和模型架构方面的不足。通过消除非最大抑制NMS和优化各种模型组件,YOLOv10 显著降低了计算开销。本示例基于YOLOv10s。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-yolov10s
  • Portal model id: i9sgeqqt6k00
  • Created at: 2025-12-26 15:12:19
  • Updated at: 2025-12-30 20:02:17
  • Category: 计算机视觉

Framework

  • PyTorch

Supported OS

  • OpenHarmony
  • Linux

Computing Power

  • Hi3403V100 SVP_NNN

Tags

  • 目标检测

Detail Parameters

  • 输入: 640x640
  • 参数量: 7.291M
  • 计算量: 24.073GFLOPs

Files In This Repo

  • yolov10s.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • yolov10s.pt (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)

Upstream Links

Notes

  • This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
  • File ownership follows the portal card mapping, not just filename similarity.
  • Cover image: 1719767893344257______20251226152658.png
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