YOLOv3

YOLOv3是一种端到端的one-stage目标检测模型。相比YOLOv2,YOLOv3采用了一个新的backbone-Darknet-53来进行特征提取工作,这个新网络比Darknet-19更加强大,也比ResNet-101或者ResNet-152更加高效。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-yolov3
  • Portal model id: i9snjr85ec00
  • Created at: 2025-12-26 15:43:35
  • 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
  • Hi3403V100 NNN

Tags

  • 目标检测

Detail Parameters

  • 输入: 640x640
  • 参数量: 61.923M
  • 计算量: 3.002GFLOPs

Files In This Repo

  • yolov3.pt (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • yolov3_sim.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • yolov3.onnx (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: 1712022653894659_om.jpg
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