shadow-cann/hispark-modelzoo-resnet101

ResNet101

ResNet是ImageNet竞赛中分类问题效果较好的网络，它引入了残差学习的概念，通过增加直连通道来保护信息的完整性，解决信息丢失、梯度消失、梯度爆炸等问题，让很深的网络也得以训练。ResNet有不同的网络层数，常用的有18-layer、34-layer、50-layer、101-layer、152-layer。

Mirror Metadata

• Hugging Face repo: shadow-cann/hispark-modelzoo-resnet101
• Portal model id: h8eivmf56c00
• Created at: 2025-09-13 18:06:31
• Updated at: Unknown
• Category: 计算机视觉

Framework

• PyTorch

Supported OS

• OpenHarmony
• Linux

Computing Power

• Hi3403V100 SVP_NNN
• Hi3403V100 NNN

Tags

• 分类

Detail Parameters

• 输入: 224x224
• 参数量: 44.496M
• 计算量: 15.686GFLOPs

Files In This Repo

• resnet101.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据; 编译模型 / OM 元数据 / a8w8)
• resnet101-63fe2227.pth (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

• Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=h8eivmf56c00
• Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/ResNet101
• License reference: https://github.com/pytorch/vision/blob/v0.14.0/LICENSE

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: 1700943569813507_res101.png