mirror of
https://github.com/ultralytics/yolov5.git
synced 2025-06-03 14:49:29 +08:00
New YOLOv5 v6.2 splash images (#9142)
* New YOLOv5 v6.2 splash images @AyushExel @AlanDimmer Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Created using Colaboratory * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update README_cn.md Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Glenn Jocher
GitHub
parent
729dc169ba
commit
30e674b14d
96
.github/README_cn.md
vendored
96
.github/README_cn.md
vendored
@ -1,55 +1,55 @@
|
|||||||
<div align="center">
|
<div align="center">
|
||||||
<p>
|
<p>
|
||||||
<a align="left" href="https://ultralytics.com/yolov5" target="_blank">
|
<a align="center" href="https://ultralytics.com/yolov5" target="_blank">
|
||||||
<img width="850" src="https://github.com/ultralytics/yolov5/releases/download/v1.0/splash.jpg"></a>
|
<img width="850" src="https://github.com/ultralytics/assets/raw/master/yolov5/v62/splash_readme.png"></a>
|
||||||
</p>
|
<br><br>
|
||||||
<br>
|
<a href="https://play.google.com/store/apps/details?id=com.ultralytics.ultralytics_app" style="text-decoration:none;">
|
||||||
|
<img src="https://raw.githubusercontent.com/ultralytics/assets/master/app/google-play.svg" width="15%" alt="" /></a>
|
||||||
|
<a href="https://apps.apple.com/xk/app/ultralytics/id1583935240" style="text-decoration:none;">
|
||||||
|
<img src="https://raw.githubusercontent.com/ultralytics/assets/master/app/app-store.svg" width="15%" alt="" /></a>
|
||||||
|
</p>
|
||||||
|
|
||||||
[English](../README.md) | 简体中文
|
[English](../README.md) | 简体中文
|
||||||
<div>
|
<br>
|
||||||
<a href="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml"><img src="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml/badge.svg" alt="CI CPU testing"></a>
|
<div>
|
||||||
<a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="YOLOv5 Citation"></a>
|
<a href="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml"><img src="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml/badge.svg" alt="CI CPU testing"></a>
|
||||||
<a href="https://hub.docker.com/r/ultralytics/yolov5"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker" alt="Docker Pulls"></a>
|
<a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="YOLOv5 Citation"></a>
|
||||||
<br>
|
<a href="https://hub.docker.com/r/ultralytics/yolov5"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker" alt="Docker Pulls"></a>
|
||||||
<a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>
|
<br>
|
||||||
<a href="https://www.kaggle.com/ultralytics/yolov5"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
|
<a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>
|
||||||
<a href="https://join.slack.com/t/ultralytics/shared_invite/zt-w29ei8bp-jczz7QYUmDtgo6r6KcMIAg"><img src="https://img.shields.io/badge/Slack-Join_Forum-blue.svg?logo=slack" alt="Join Forum"></a>
|
<a href="https://www.kaggle.com/ultralytics/yolov5"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
|
||||||
|
<a href="https://join.slack.com/t/ultralytics/shared_invite/zt-w29ei8bp-jczz7QYUmDtgo6r6KcMIAg"><img src="https://img.shields.io/badge/Slack-Join_Forum-blue.svg?logo=slack" alt="Join Forum"></a>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<br>
|
||||||
|
<p>
|
||||||
|
YOLOv5🚀是一个在COCO数据集上预训练的物体检测架构和模型系列，它代表了<a href="https://ultralytics.com">Ultralytics</a>对未来视觉AI方法的公开研究，其中包含了在数千小时的研究和开发中所获得的经验和最佳实践。
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<div align="center">
|
||||||
|
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-github.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-twitter.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://www.producthunt.com/@glenn_jocher" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-producthunt.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://youtube.com/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-youtube.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://www.facebook.com/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-facebook.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://www.instagram.com/ultralytics/" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-instagram.png" width="2%" alt="" /></a>
|
||||||
|
</div>
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
<br>
|
|
||||||
<p>
|
|
||||||
YOLOv5🚀是一个在COCO数据集上预训练的物体检测架构和模型系列，它代表了<a href="https://ultralytics.com">Ultralytics</a>对未来视觉AI方法的公开研究，其中包含了在数千小时的研究和开发中所获得的经验和最佳实践。
|
|
||||||
</p>
|
|
||||||
|
|
||||||
<div align="center">
|
|
||||||
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-github.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-twitter.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://www.producthunt.com/@glenn_jocher" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-producthunt.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://youtube.com/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-youtube.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://www.facebook.com/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-facebook.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://www.instagram.com/ultralytics/" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-instagram.png" width="2%" alt="" /></a>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<!--
|
|
||||||
<a align="center" href="https://ultralytics.com/yolov5" target="_blank">
|
|
||||||
<img width="800" src="https://github.com/ultralytics/yolov5/releases/download/v1.0/banner-api.png"></a>
|
|
||||||
-->
|
|
||||||
|
|
||||||
</div>
|
|
||||||
|
|
||||||
## <div align="center">文件</div>
|
## <div align="center">文件</div>
|
||||||
|
|
||||||
|
|||||||
98
README.md
98
README.md
@ -1,56 +1,56 @@
|
|||||||
<div align="center">
|
<div align="center">
|
||||||
<p>
|
<p>
|
||||||
<a align="left" href="https://ultralytics.com/yolov5" target="_blank">
|
<a align="center" href="https://ultralytics.com/yolov5" target="_blank">
|
||||||
<img width="850" src="https://github.com/ultralytics/yolov5/releases/download/v1.0/splash.jpg"></a>
|
<img width="850" src="https://github.com/ultralytics/assets/raw/master/yolov5/v62/splash_readme.png"></a>
|
||||||
</p>
|
<br><br>
|
||||||
|
<a href="https://play.google.com/store/apps/details?id=com.ultralytics.ultralytics_app" style="text-decoration:none;">
|
||||||
|
<img src="https://raw.githubusercontent.com/ultralytics/assets/master/app/google-play.svg" width="15%" alt="" /></a>
|
||||||
|
<a href="https://apps.apple.com/xk/app/ultralytics/id1583935240" style="text-decoration:none;">
|
||||||
|
<img src="https://raw.githubusercontent.com/ultralytics/assets/master/app/app-store.svg" width="15%" alt="" /></a>
|
||||||
|
</p>
|
||||||
|
|
||||||
English | [简体中文](.github/README_cn.md)
|
English | [简体中文](.github/README_cn.md)
|
||||||
<br>
|
<br>
|
||||||
<div>
|
<div>
|
||||||
<a href="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml"><img src="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml/badge.svg" alt="CI CPU testing"></a>
|
<a href="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml"><img src="https://github.com/ultralytics/yolov5/actions/workflows/ci-testing.yml/badge.svg" alt="CI CPU testing"></a>
|
||||||
<a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="YOLOv5 Citation"></a>
|
<a href="https://zenodo.org/badge/latestdoi/264818686"><img src="https://zenodo.org/badge/264818686.svg" alt="YOLOv5 Citation"></a>
|
||||||
<a href="https://hub.docker.com/r/ultralytics/yolov5"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker" alt="Docker Pulls"></a>
|
<a href="https://hub.docker.com/r/ultralytics/yolov5"><img src="https://img.shields.io/docker/pulls/ultralytics/yolov5?logo=docker" alt="Docker Pulls"></a>
|
||||||
<br>
|
<br>
|
||||||
<a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>
|
<a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>
|
||||||
<a href="https://www.kaggle.com/ultralytics/yolov5"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
|
<a href="https://www.kaggle.com/ultralytics/yolov5"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
|
||||||
<a href="https://join.slack.com/t/ultralytics/shared_invite/zt-w29ei8bp-jczz7QYUmDtgo6r6KcMIAg"><img src="https://img.shields.io/badge/Slack-Join_Forum-blue.svg?logo=slack" alt="Join Forum"></a>
|
<a href="https://join.slack.com/t/ultralytics/shared_invite/zt-w29ei8bp-jczz7QYUmDtgo6r6KcMIAg"><img src="https://img.shields.io/badge/Slack-Join_Forum-blue.svg?logo=slack" alt="Join Forum"></a>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<br>
|
||||||
|
<p>
|
||||||
|
YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents <a href="https://ultralytics.com">Ultralytics</a>
|
||||||
|
open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<div align="center">
|
||||||
|
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-github.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-twitter.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://www.producthunt.com/@glenn_jocher" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-producthunt.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://youtube.com/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-youtube.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://www.facebook.com/ultralytics" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-facebook.png" width="2%" alt="" /></a>
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
||||||
|
<a href="https://www.instagram.com/ultralytics/" style="text-decoration:none;">
|
||||||
|
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-instagram.png" width="2%" alt="" /></a>
|
||||||
|
</div>
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
<br>
|
|
||||||
<p>
|
|
||||||
YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents <a href="https://ultralytics.com">Ultralytics</a>
|
|
||||||
open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.
|
|
||||||
</p>
|
|
||||||
|
|
||||||
<div align="center">
|
|
||||||
<a href="https://github.com/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-github.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://www.linkedin.com/company/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-linkedin.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://twitter.com/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-twitter.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://www.producthunt.com/@glenn_jocher" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-producthunt.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://youtube.com/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-youtube.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://www.facebook.com/ultralytics" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-facebook.png" width="2%" alt="" /></a>
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="2%" alt="" />
|
|
||||||
<a href="https://www.instagram.com/ultralytics/" style="text-decoration:none;">
|
|
||||||
<img src="https://github.com/ultralytics/assets/raw/master/social/logo-social-instagram.png" width="2%" alt="" /></a>
|
|
||||||
</div>
|
|
||||||
|
|
||||||
<!--
|
|
||||||
<a align="center" href="https://ultralytics.com/yolov5" target="_blank">
|
|
||||||
<img width="800" src="https://github.com/ultralytics/yolov5/releases/download/v1.0/banner-api.png"></a>
|
|
||||||
-->
|
|
||||||
|
|
||||||
</div>
|
|
||||||
|
|
||||||
## <div align="center">Documentation</div>
|
## <div align="center">Documentation</div>
|
||||||
|
|
||||||
|
|||||||
42
tutorial.ipynb
vendored
42
tutorial.ipynb
vendored
@ -7,8 +7,7 @@
|
|||||||
"provenance": [],
|
"provenance": [],
|
||||||
"collapsed_sections": [],
|
"collapsed_sections": [],
|
||||||
"machine_shape": "hm",
|
"machine_shape": "hm",
|
||||||
"toc_visible": true,
|
"toc_visible": true
|
||||||
"include_colab_link": true
|
|
||||||
},
|
},
|
||||||
"kernelspec": {
|
"kernelspec": {
|
||||||
"name": "python3",
|
"name": "python3",
|
||||||
@ -381,27 +380,26 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
"cells": [
|
"cells": [
|
||||||
{
|
|
||||||
"cell_type": "markdown",
|
|
||||||
"metadata": {
|
|
||||||
"id": "view-in-github",
|
|
||||||
"colab_type": "text"
|
|
||||||
},
|
|
||||||
"source": [
|
|
||||||
"<a href=\"https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"id": "t6MPjfT5NrKQ"
|
"id": "t6MPjfT5NrKQ"
|
||||||
},
|
},
|
||||||
"source": [
|
"source": [
|
||||||
"<a align=\"left\" href=\"https://ultralytics.com/yolov5\" target=\"_blank\">\n",
|
"<div align=\"center\">\n",
|
||||||
"<img width=\"1024\", src=\"https://user-images.githubusercontent.com/26833433/125273437-35b3fc00-e30d-11eb-9079-46f313325424.png\"></a>\n",
|
|
||||||
"\n",
|
"\n",
|
||||||
"This is the **official YOLOv5 🚀 notebook** by **Ultralytics**, and is freely available for redistribution under the [GPL-3.0 license](https://choosealicense.com/licenses/gpl-3.0/). \n",
|
" <a href=\"https://ultralytics.com/yolov5\" target=\"_blank\">\n",
|
||||||
"For more information please visit https://github.com/ultralytics/yolov5 and https://ultralytics.com. Thank you!"
|
" <img width=\"1024\", src=\"https://github.com/ultralytics/assets/raw/master/yolov5/v62/splash_notebook.png\"></a>\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"<br>\n",
|
||||||
|
" <a href=\"https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"></a>\n",
|
||||||
|
" <a href=\"https://www.kaggle.com/ultralytics/yolov5\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open In Kaggle\"></a>\n",
|
||||||
|
"<br>\n",
|
||||||
|
"\n",
|
||||||
|
"This <a href=\"https://github.com/ultralytics/yolov5\">YOLOv5</a> 🚀 notebook by <a href=\"https://ultralytics.com\">Ultralytics</a> presents simple train, validate and predict examples to help start your AI adventure.<br>See <a href=\"https://github.com/ultralytics/yolov5/issues/new/choose\">GitHub</a> for community support or <a href=\"https://ultralytics.com/contact\">contact us</a> for professional support.\n",
|
||||||
|
"\n",
|
||||||
|
"</div>"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@ -412,7 +410,7 @@
|
|||||||
"source": [
|
"source": [
|
||||||
"# Setup\n",
|
"# Setup\n",
|
||||||
"\n",
|
"\n",
|
||||||
"Clone repo, install dependencies and check PyTorch and GPU."
|
"Clone GitHub [repository](https://github.com/ultralytics/yolov5), install [dependencies](https://github.com/ultralytics/yolov5/blob/master/requirements.txt) and check PyTorch and GPU."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@ -433,7 +431,7 @@
|
|||||||
"import utils\n",
|
"import utils\n",
|
||||||
"display = utils.notebook_init() # checks"
|
"display = utils.notebook_init() # checks"
|
||||||
],
|
],
|
||||||
"execution_count": 1,
|
"execution_count": null,
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
@ -485,7 +483,7 @@
|
|||||||
"!python detect.py --weights yolov5s.pt --img 640 --conf 0.25 --source data/images\n",
|
"!python detect.py --weights yolov5s.pt --img 640 --conf 0.25 --source data/images\n",
|
||||||
"# display.Image(filename='runs/detect/exp/zidane.jpg', width=600)"
|
"# display.Image(filename='runs/detect/exp/zidane.jpg', width=600)"
|
||||||
],
|
],
|
||||||
"execution_count": 2,
|
"execution_count": null,
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
@ -555,7 +553,7 @@
|
|||||||
"torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017val.zip', 'tmp.zip') # download (780M - 5000 images)\n",
|
"torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017val.zip', 'tmp.zip') # download (780M - 5000 images)\n",
|
||||||
"!unzip -q tmp.zip -d ../datasets && rm tmp.zip # unzip"
|
"!unzip -q tmp.zip -d ../datasets && rm tmp.zip # unzip"
|
||||||
],
|
],
|
||||||
"execution_count": 3,
|
"execution_count": null,
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"output_type": "display_data",
|
"output_type": "display_data",
|
||||||
@ -603,7 +601,7 @@
|
|||||||
"# Validate YOLOv5x on COCO val\n",
|
"# Validate YOLOv5x on COCO val\n",
|
||||||
"!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
|
"!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
|
||||||
],
|
],
|
||||||
"execution_count": 4,
|
"execution_count": null,
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
@ -723,7 +721,7 @@
|
|||||||
"# Train YOLOv5s on COCO128 for 3 epochs\n",
|
"# Train YOLOv5s on COCO128 for 3 epochs\n",
|
||||||
"!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --cache"
|
"!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --cache"
|
||||||
],
|
],
|
||||||
"execution_count": 5,
|
"execution_count": null,
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user