From b206a49207a42714e9a53c438c68389b152dd338 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Tue, 10 Jan 2023 10:24:43 +0100 Subject: [PATCH] Created using Colaboratory --- examples/tutorial.ipynb | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/examples/tutorial.ipynb b/examples/tutorial.ipynb index 4c279ac..99a55b5 100644 --- a/examples/tutorial.ipynb +++ b/examples/tutorial.ipynb @@ -27,9 +27,9 @@ "\n", "\n", "
\n", - " \"Run\n", + " \"Run\n", " \"Open\n", - " \"Open\n", + " \"Open\n", "
\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 Ultralytics. 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": [] } ] -} +} \ No newline at end of file