FaceNet

FaceNet 是一种基于深度卷积神经网络的端到端人脸识别与特征嵌入模型。相比传统基于手工特征或分阶段匹配的方法,它通过将人脸图像直接映射为固定维度的紧凑特征向量(Embedding),并采用三元组损失(Triplet Loss)优化特征相似度度量,能有效缩小类内差异、扩大类间距离,兼顾识别精度与推理效率,适用于身份验证、人脸检索、监控安防等大规模人脸识别场景。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-facenet
  • Portal model id: iapedo790s00
  • Created at: 2025-12-29 10:37:55
  • 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

  • 人脸识别

Detail Parameters

  • 输入: 160 x 160
  • 参数量: 23.469M
  • 计算量: 2.854GFLOPs

Files In This Repo

  • facenet_vggface2_static.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: 1720278245769217_facenet1.jpg
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