Kalray/yolov3

Introduction

This repository stores the model for YOLOv3, compatible with Kalray's neural network API.
Please see https://www.github.com/kalray/kann-models-zoo for details and proper usage.

Contents

• ONNX: yolov3.onnx, yolov3-tiny.onnx

Lecture note reference

• YOLOv3: An Incremental Improvement, https://arxiv.org/abs/1804.02767
• You Only Look Once: Unified, Real-Time Object Detection, https://arxiv.org/abs/1506.02640

Repository or links references

• source code : https://github.com/ultralytics/yolov3/
• config: https://github.com/ultralytics/yolov3/blob/master/models/yolov3.yaml
• weights: from yolov3.pt then re-trained with ReLU activation

BibTeX entry and citation info

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

from source code 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"

authors: Quentin Muller, qmuller@kalrayinc.com