简介

本仓库存储了 YOLOv3 模型，与 Kalray 的神经网络 API 兼容。 </br> 详情和正确用法请参阅 https://www.github.com/kalray/kann-models-zoo </br>

内容

• ONNX: yolov3.onnx, yolov3-tiny.onnx

参考文献笔记

• YOLOv3: 渐进式改进, https://arxiv.org/abs/1804.02767
• You Only Look Once: 统一的实时目标检测, https://arxiv.org/abs/1506.02640

仓库或链接参考

• 源代码 : https://github.com/ultralytics/yolov3/
• 配置文件: https://github.com/ultralytics/yolov3/blob/master/models/yolov3.yaml
• 权重: 来自 yolov3.pt，随后使用 ReLU 激活函数重新训练

BibTeX 条目和引用信息

@article{ redmon2018yolov3,
  title={ YOLOv3: An Incremental Improvement },
  author={ Redmon, Joseph and Farhadi, Ali },
  journal={ arXiv preprint arXiv:1804.02767 },
  year={ 2018 }
}

来自源代码的 CITATION.cff:

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv3, please cite it as below.
  authors:
    - family-names: Jocher
      given-names: Glenn
      orcid: \"https://orcid.org/0000-0001-5950-6979\"
  title: \"YOLOv3 by Ultralytics\"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: \"https://github.com/ultralytics/yolov3\"

作者: Quentin Muller, qmuller@kalrayinc.com