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Glenn Jocher 2023-01-10 10:24:43 +01:00
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examples/tutorial.ipynb
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@ -27,9 +27,9 @@
"\n",
"\n",
"<br>\n",
" <a href=\"https://bit.ly/yolov5-paperspace-notebook\"><img src=\"https://assets.paperspace.io/img/gradient-badge.svg\" alt=\"Run on Gradient\"></a>\n",
" <a href=\"https://console.paperspace.com/github/ultralytics/ultralytics\"><img src=\"https://assets.paperspace.io/img/gradient-badge.svg\" alt=\"Run on Gradient\"/></a>\n",
" <a href=\"https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/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",
" <a href=\"https://www.kaggle.com/ultralytics/yolov8\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open In Kaggle\"></a>\n",
"<br>\n",
"\n",
"Welcome to the Ultralytics YOLOv8 🚀 notebook! YOLOv8 is the latest version of the YOLO (You Only Look Once) object detection and image segmentation model developed by <a href=\"https://ultralytics.com\">Ultralytics</a>. This notebook serves as the starting point for exploring the various resources available to help you get started with YOLOv8 and understand its features and capabilities.\n",
@ -49,7 +49,7 @@
"source": [
"# Setup\n",
"\n",
"Clone GitHub [repository](https://github.com/ultralytics/ultralytics), install [dependencies](https://github.com/ultralytics/ultralytics/blob/master/requirements.txt) and check PyTorch and GPU."
"Pip install `ultralytics` and [dependencies](https://github.com/ultralytics/ultralytics/blob/master/requirements.txt) and check PyTorch and GPU."
]
},
{
@ -62,7 +62,7 @@
"outputId": "276a3983-eedd-4eeb-9701-2ae78e1b4c44"
},
"source": [
"# Pip install (recommended)\n",
"# Pip install method (recommended)\n",
"%pip install ultralytics\n",
"import ultralytics\n",
"ultralytics.checks()"
@ -82,7 +82,7 @@
{
"cell_type": "code",
"source": [
"# Git clone (requires GitHub token)\n",
"# Git clone method (for development)\n",
"!git clone https://github.com/ultralytics/ultralytics\n",
"%pip install -e ultralytics\n",
"import ultralytics\n",
@ -668,4 +668,4 @@
"outputs": []
}
]
}
}