diff --git a/.github/README_cn.md b/.github/README_cn.md index 46aafd86ec9b..bb62714f003f 100644 --- a/.github/README_cn.md +++ b/.github/README_cn.md @@ -1,55 +1,55 @@
-

- - -

-
- -[English](../README.md) | 简体中文 -
- CI CPU testing - YOLOv5 Citation - Docker Pulls -
- Open In Colab - Open In Kaggle - Join Forum -
- -
-

-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Ultralytics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。 -

- -
- - - - - - - - - - - - - - - - - - - - +

+ + +

+ +   + + +

+ + [English](../README.md) | 简体中文 +
+
+ CI CPU testing + YOLOv5 Citation + Docker Pulls +
+ Open In Colab + Open In Kaggle + Join Forum +
+ +
+

+ 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Ultralytics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。 +

+ +
+ + + + + + + + + + + + + + + + + + + + +
- - -
##
文件
diff --git a/README.md b/README.md index 89e4f1199cde..1d6b4e153d82 100644 --- a/README.md +++ b/README.md @@ -1,56 +1,56 @@
-

- - -

- -English | [简体中文](.github/README_cn.md) -
-
- CI CPU testing - YOLOv5 Citation - Docker Pulls -
- Open In Colab - Open In Kaggle - Join Forum -
- -
-

-YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents Ultralytics - open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development. -

- -
- - - - - - - - - - - - - - - - - - - - +

+ + +

+ +   + + +

+ + English | [简体中文](.github/README_cn.md) +
+
+ CI CPU testing + YOLOv5 Citation + Docker Pulls +
+ Open In Colab + Open In Kaggle + Join Forum +
+ +
+

+ YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents Ultralytics + open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development. +

+ +
+ + + + + + + + + + + + + + + + + + + + +
- - -
##
Documentation
diff --git a/tutorial.ipynb b/tutorial.ipynb index 5b7b1f287d7e..3af5517c9623 100644 --- a/tutorial.ipynb +++ b/tutorial.ipynb @@ -7,8 +7,7 @@ "provenance": [], "collapsed_sections": [], "machine_shape": "hm", - "toc_visible": true, - "include_colab_link": true + "toc_visible": true }, "kernelspec": { "name": "python3", @@ -381,27 +380,26 @@ } }, "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, { "cell_type": "markdown", "metadata": { "id": "t6MPjfT5NrKQ" }, "source": [ - "\n", - "\n", + "
\n", + "\n", + " \n", + " \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", - "For more information please visit https://github.com/ultralytics/yolov5 and https://ultralytics.com. Thank you!" + "
\n", + " \"Open\n", + " \"Open\n", + "
\n", + "\n", + "This YOLOv5 🚀 notebook by Ultralytics presents simple train, validate and predict examples to help start your AI adventure.
See GitHub for community support or contact us for professional support.\n", + "\n", + "
" ] }, { @@ -412,7 +410,7 @@ "source": [ "# Setup\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", "display = utils.notebook_init() # checks" ], - "execution_count": 1, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -485,7 +483,7 @@ "!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)" ], - "execution_count": 2, + "execution_count": null, "outputs": [ { "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", "!unzip -q tmp.zip -d ../datasets && rm tmp.zip # unzip" ], - "execution_count": 3, + "execution_count": null, "outputs": [ { "output_type": "display_data", @@ -603,7 +601,7 @@ "# Validate YOLOv5x on COCO val\n", "!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half" ], - "execution_count": 4, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -723,7 +721,7 @@ "# Train YOLOv5s on COCO128 for 3 epochs\n", "!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --cache" ], - "execution_count": 5, + "execution_count": null, "outputs": [ { "output_type": "stream",