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
- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=i9snjr85ec00
- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov3
- License reference: https://github.com/ultralytics/yolov3/blob/master/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: 1712022653894659_om.jpg
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