glenn-jocher
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Browse files- tutorial.ipynb +16 -6
tutorial.ipynb
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"id": "bOy5KI2ncnWd"
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"source": [
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"#
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"%load_ext tensorboard\n",
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"%tensorboard --logdir runs"
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],
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"execution_count": null,
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"outputs": []
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"metadata": {
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"source": [
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"## Weights & Biases Logging π NEW\n",
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"\n",
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"[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
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"```bash\n",
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"$ pip install wandb\n",
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"```\n",
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"\n",
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"During training you will see live updates at [https://
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"\n",
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"<img src=\"https://user-images.githubusercontent.com/26833433/98184457-bd3da580-1f0a-11eb-8461-95d908a71893.jpg\" width=\"800\">"
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"id": "bOy5KI2ncnWd"
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},
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"source": [
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"# Tensorboard (optional)\n",
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"%load_ext tensorboard\n",
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"%tensorboard --logdir runs"
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],
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"execution_count": null,
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"outputs": []
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{
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"cell_type": "code",
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"metadata": {
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"id": "2fLAV42oNb7M"
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},
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"source": [
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"# Weights & Biases (optional)\n",
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"%pip install -q wandb \n",
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"!wandb login # use 'wandb disabled' or 'wandb enabled' to disable or enable"
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],
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"execution_count": null,
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"outputs": []
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},
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"cell_type": "code",
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"metadata": {
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"source": [
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"## Weights & Biases Logging π NEW\n",
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"\n",
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"[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",
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"\n",
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"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",
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"\n",
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"<img src=\"https://user-images.githubusercontent.com/26833433/98184457-bd3da580-1f0a-11eb-8461-95d908a71893.jpg\" width=\"800\">"
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]
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