diff --git a/tutorial.ipynb b/tutorial.ipynb index d0afb6a..0b85c8b 100644 --- a/tutorial.ipynb +++ b/tutorial.ipynb @@ -896,13 +896,26 @@ "id": "bOy5KI2ncnWd" }, "source": [ - "# Start tensorboard (optional)\n", + "# Tensorboard (optional)\n", "%load_ext tensorboard\n", "%tensorboard --logdir runs" ], "execution_count": null, "outputs": [] }, + { + "cell_type": "code", + "metadata": { + "id": "2fLAV42oNb7M" + }, + "source": [ + "# Weights & Biases (optional)\n", + "%pip install -q wandb \n", + "!wandb login # use 'wandb disabled' or 'wandb enabled' to disable or enable" + ], + "execution_count": null, + "outputs": [] + }, { "cell_type": "code", "metadata": { @@ -1013,12 +1026,9 @@ "source": [ "## Weights & Biases Logging 🌟 NEW\n", "\n", - "[Weights & Biases](https://www.wandb.com/) (W&B) is now integrated with YOLOv5 for real-time visualization and cloud logging of training runs. This allows for better run comparison and introspection, as well improved visibility and collaboration for teams. To enable W&B logging install `wandb`, and then train normally (you will be guided through setup on first use).\n", - "```bash\n", - "$ pip install wandb\n", - "```\n", + "[Weights & Biases](https://www.wandb.com/) (W&B) is now integrated with YOLOv5 for real-time visualization and cloud logging of training runs. This allows for better run comparison and introspection, as well improved visibility and collaboration for teams. To enable W&B `pip install wandb`, and then train normally (you will be guided through setup on first use). \n", "\n", - "During training you will see live updates at [https://www.wandb.com/](https://www.wandb.com/), and you can create and share detailed [Reports](https://wandb.ai/glenn-jocher/yolov5_tutorial/reports/YOLOv5-COCO128-Tutorial-Results--VmlldzozMDI5OTY) of your results. For more information see the [YOLOv5 Weights & Biases Tutorial](https://github.com/ultralytics/yolov5/issues/1289). \n", + "During training you will see live updates at [https://wandb.ai/home](https://wandb.ai/home), and you can create and share detailed [Reports](https://wandb.ai/glenn-jocher/yolov5_tutorial/reports/YOLOv5-COCO128-Tutorial-Results--VmlldzozMDI5OTY) of your results. For more information see the [YOLOv5 Weights & Biases Tutorial](https://github.com/ultralytics/yolov5/issues/1289). \n", "\n", "" ]