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Creado con Colaboratory

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Glenn Jocher 4 years ago
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tutorial.ipynb View File

@@ -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",
"<img src=\"https://user-images.githubusercontent.com/26833433/98184457-bd3da580-1f0a-11eb-8461-95d908a71893.jpg\" width=\"800\">"
]

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