Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.5%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Yolo v5

Basic Info
  • Host: GitHub
  • Owner: Karenina-na
  • License: agpl-3.0
  • Language: Python
  • Default Branch: master
  • Size: 50.3 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License Citation

README.md

Object_Detection

Object_Detection项目克隆自ultralytics/yolov5,将其修改使项目能够应用于电脑应用程序

安装

克隆项目

bash git clone git@github.com:Karenina-na/Object_Detection.git

shell pip install -r requirements.txt

shell python main.py

使用方法

  • parameter.xml 为模型推理参数列表,其中检测类别的标签值类可在/data/下进行选择。
  • device默认为0,可根据电脑状态更改为cpu或其他数值。

作者

AGPL-3.0 License from Ultralytics \ MIT License from Karenina-na

Yolo v5 简介

YOLOv5 🚀 是世界上最受欢迎的视觉 AI,代表 Ultralytics 对未来视觉 AI 方法的开源研究,结合在数千小时的研究和开发中积累的经验教训和最佳实践。

如果要申请企业许可证,请填写表格Ultralytics 许可.

预训练模型

预训练模型

| 模型 | 尺寸
(像素) | mAPval
50-95 | mAPval
50 | 推理速度
CPU b1
(ms) | 推理速度
V100 b1
(ms) | 速度
V100 b32
(ms) | 参数量
(M) | FLOPs
@640 (B) | |------------------------------------------------------------------------------------------------|-----------------|----------------------|-------------------|-----------------------------|------------------------------|-----------------------------|-----------------|------------------------| | YOLOv5n | 640 | 28.0 | 45.7 | 45 | 6.3 | 0.6 | 1.9 | 4.5 | | YOLOv5s | 640 | 37.4 | 56.8 | 98 | 6.4 | 0.9 | 7.2 | 16.5 | | YOLOv5m | 640 | 45.4 | 64.1 | 224 | 8.2 | 1.7 | 21.2 | 49.0 | | YOLOv5l | 640 | 49.0 | 67.3 | 430 | 10.1 | 2.7 | 46.5 | 109.1 | | YOLOv5x | 640 | 50.7 | 68.9 | 766 | 12.1 | 4.8 | 86.7 | 205.7 | | | | | | | | | | | | YOLOv5n6 | 1280 | 36.0 | 54.4 | 153 | 8.1 | 2.1 | 3.2 | 4.6 | | YOLOv5s6 | 1280 | 44.8 | 63.7 | 385 | 8.2 | 3.6 | 12.6 | 16.8 | | YOLOv5m6 | 1280 | 51.3 | 69.3 | 887 | 11.1 | 6.8 | 35.7 | 50.0 | | YOLOv5l6 | 1280 | 53.7 | 71.3 | 1784 | 15.8 | 10.5 | 76.8 | 111.4 | | YOLOv5x6
+[TTA] | 1280
1536 | 55.0
55.8 | 72.7
72.7 | 3136
- | 26.2
- | 19.4
- | 140.7
- | 209.8
- |

Owner

  • Name: Wei Zixiang
  • Login: Karenina-na
  • Kind: user
  • Location: China-GD
  • Company: nwpu

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv5, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: "YOLOv5 by Ultralytics"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: "https://github.com/ultralytics/yolov5"

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