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
- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=i9sgeqqt6k00
- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov10s
- License reference: https://github.com/THU-MIG/yolov10/blob/v1.1/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: 1719767893344257______20251226152658.png
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