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tutorial.ipynb
vendored
45
tutorial.ipynb
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@ -656,44 +656,27 @@
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},
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{
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"cell_type": "code",
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"metadata": {
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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/train"
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"# ClearML (optional)\n",
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"%pip install -q clearml\n",
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"!clearml-init"
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"#@title Select YOLOv5 🚀 logger\n",
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"logger = 'TensorBoard' #@param ['TensorBoard', 'ClearML', 'W&B']\n",
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"\n",
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"if logger == 'Tensorboard':\n",
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" %load_ext tensorboard\n",
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" %tensorboard --logdir runs/train\n",
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"elif logger == 'ClearML':\n",
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" %pip install -q clearml\n",
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" !clearml-init\n",
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"elif logger == 'W&B':\n",
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" %pip install -q wandb\n",
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" import wandb\n",
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" wandb.login()"
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],
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"metadata": {
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"id": "DQhI6vvaRWjR"
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"id": "i3oKtE4g-aNn"
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},
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"execution_count": null,
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"outputs": []
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},
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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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"import wandb\n",
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"wandb.login()"
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],
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"metadata": {
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