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glenn-jocher committed Jun 10, 2021
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15 changes: 8 additions & 7 deletions tutorial.ipynb
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{
"cell_type": "markdown",
"metadata": {
"id": "HvhYZrIZCEyo"
"id": "t6MPjfT5NrKQ"
},
"source": [
"<img src=\"https://user-images.githubusercontent.com/26833433/98702494-b71c4e80-237a-11eb-87ed-17fcd6b3f066.jpg\">\n",
"<a align=\"left\" href=\"https://ultralytics.com/yolov5\" target=\"_blank\">\n",
"<img src=\"https://github.com/ultralytics/yolov5/releases/download/v1.0/splash_horizontal.png\"></a>\n",
"\n",
"This is the **official YOLOv5 🚀 notebook** authored by **Ultralytics**, and is freely available for redistribution under the [GPL-3.0 license](https://choosealicense.com/licenses/gpl-3.0/). \n",
"For more information please visit https://github.com/ultralytics/yolov5 and https://ultralytics.com. Thank you!"
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"clear_output()\n",
"print(f\"Setup complete. Using torch {torch.__version__} ({torch.cuda.get_device_properties(0).name if torch.cuda.is_available() else 'CPU'})\")"
],
"execution_count": 1,
"execution_count": null,
"outputs": [
{
"output_type": "stream",
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"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017val.zip', 'tmp.zip')\n",
"!unzip -q tmp.zip -d ../ && rm tmp.zip"
],
"execution_count": 2,
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
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"# Run YOLOv5x on COCO val2017\n",
"!python test.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
],
"execution_count": 3,
"execution_count": null,
"outputs": [
{
"output_type": "stream",
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"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip', 'tmp.zip')\n",
"!unzip -q tmp.zip -d ../ && rm tmp.zip"
],
"execution_count": 2,
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
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"# Train YOLOv5s on COCO128 for 3 epochs\n",
"!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --cache"
],
"execution_count": 9,
"execution_count": null,
"outputs": [
{
"output_type": "stream",
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