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Created using Colaboratory (#2649)
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tutorial.ipynb
vendored
14
tutorial.ipynb
vendored
@ -563,7 +563,7 @@
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"clear_output()\n",
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"print('Setup complete. Using torch %s %s' % (torch.__version__, torch.cuda.get_device_properties(0) if torch.cuda.is_available() else 'CPU'))"
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],
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"execution_count": 1,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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@ -689,7 +689,7 @@
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"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017val.zip', 'tmp.zip')\n",
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"!unzip -q tmp.zip -d ../ && rm tmp.zip"
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],
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"execution_count": 2,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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@ -729,7 +729,7 @@
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"# Run YOLOv5x on COCO val2017\n",
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"!python test.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65"
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],
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"execution_count": 3,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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@ -798,9 +798,9 @@
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"source": [
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"# Download COCO test-dev2017\n",
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"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017labels.zip', 'tmp.zip')\n",
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"!unzip -q tmp.zip -d ../ && rm tmp.zip # unzip labels\n",
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"!unzip -q tmp.zip -d ../ && rm tmp.zip # unzip labels\n",
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"!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f && rm $f # 7GB, 41k images\n",
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"%mv ./test2017 ./coco/images && mv ./coco ../ # move images to /coco and move /coco next to /yolov5"
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"%mv ./test2017 ../coco/images # move to /coco"
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],
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"execution_count": null,
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"outputs": []
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@ -853,7 +853,7 @@
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"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip', 'tmp.zip')\n",
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"!unzip -q tmp.zip -d ../ && rm tmp.zip"
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],
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"execution_count": 4,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "display_data",
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@ -930,7 +930,7 @@
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"# Train YOLOv5s on COCO128 for 3 epochs\n",
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"!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --nosave --cache"
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],
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"execution_count": 5,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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