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Glenn Jocher 2020-11-14 12:07:31 +01:00
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tutorial.ipynb vendored
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@ -1010,7 +1010,7 @@
"id": "DLI1JmHU7B0l" "id": "DLI1JmHU7B0l"
}, },
"source": [ "source": [
"## Weights & Biases Logging (🚀 NEW)\n", "## Weights & Biases Logging 🌟 NEW\n",
"\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", "[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", "```bash\n",
@ -1077,9 +1077,9 @@
"id": "MDznIqPF7nk3" "id": "MDznIqPF7nk3"
}, },
"source": [ "source": [
"from utils.utils import plot_results \n", "from utils.plots import plot_results \n",
"plot_results(save_dir='runs/train/exp') # plot results.txt as results.png\n", "plot_results(save_dir='runs/train/exp') # plot all results*.txt as results.png\n",
"Image(filename='results.png', width=800) " "Image(filename='runs/train/exp/results.png', width=800)"
], ],
"execution_count": null, "execution_count": null,
"outputs": [] "outputs": []