glenn-jocher
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Browse files- tutorial.ipynb +5 -5
tutorial.ipynb
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"id": "DLI1JmHU7B0l"
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},
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"source": [
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"## Weights & Biases Logging
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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 logging install `wandb`, and then train normally (you will be guided through setup on first use).\n",
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"```bash\n",
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"id": "MDznIqPF7nk3"
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"source": [
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"from utils.
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"plot_results(save_dir='runs/train/exp') # plot results
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"Image(filename='results.png', width=800)
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],
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"execution_count": null,
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"outputs": []
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"outputs": []
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}
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}
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"id": "DLI1JmHU7B0l"
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},
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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 logging install `wandb`, and then train normally (you will be guided through setup on first use).\n",
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"```bash\n",
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"id": "MDznIqPF7nk3"
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},
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"source": [
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"from utils.plots import plot_results \n",
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"plot_results(save_dir='runs/train/exp') # plot all results*.txt as results.png\n",
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"Image(filename='runs/train/exp/results.png', width=800)"
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],
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"execution_count": null,
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"outputs": []
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"outputs": []
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}
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]
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}
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