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Glenn Jocher 2021-03-29 16:43:37 +02:00
parent 866bc7d640
commit 1b100cd53e
1 changed files with 7 additions and 7 deletions
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tutorial.ipynb vendored
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@ -563,7 +563,7 @@
"clear_output()\n", "clear_output()\n",
"print('Setup complete. Using torch %s %s' % (torch.__version__, torch.cuda.get_device_properties(0) if torch.cuda.is_available() else 'CPU'))" "print('Setup complete. Using torch %s %s' % (torch.__version__, torch.cuda.get_device_properties(0) if torch.cuda.is_available() else 'CPU'))"
], ],
"execution_count": 1, "execution_count": null,
"outputs": [ "outputs": [
{ {
"output_type": "stream", "output_type": "stream",
@ -689,7 +689,7 @@
"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017val.zip', 'tmp.zip')\n", "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" "!unzip -q tmp.zip -d ../ && rm tmp.zip"
], ],
"execution_count": 2, "execution_count": null,
"outputs": [ "outputs": [
{ {
"output_type": "display_data", "output_type": "display_data",
@ -729,7 +729,7 @@
"# Run YOLOv5x on COCO val2017\n", "# Run YOLOv5x on COCO val2017\n",
"!python test.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65" "!python test.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65"
], ],
"execution_count": 3, "execution_count": null,
"outputs": [ "outputs": [
{ {
"output_type": "stream", "output_type": "stream",
@ -800,7 +800,7 @@
"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017labels.zip', 'tmp.zip')\n", "torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017labels.zip', 'tmp.zip')\n",
"!unzip -q tmp.zip -d ../ && rm tmp.zip # unzip labels\n", "!unzip -q tmp.zip -d ../ && rm tmp.zip # unzip labels\n",
"!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f && rm $f # 7GB, 41k images\n", "!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f && rm $f # 7GB, 41k images\n",
"%mv ./test2017 ./coco/images && mv ./coco ../ # move images to /coco and move /coco next to /yolov5" "%mv ./test2017 ../coco/images # move to /coco"
], ],
"execution_count": null, "execution_count": null,
"outputs": [] "outputs": []
@ -853,7 +853,7 @@
"torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip', 'tmp.zip')\n", "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" "!unzip -q tmp.zip -d ../ && rm tmp.zip"
], ],
"execution_count": 4, "execution_count": null,
"outputs": [ "outputs": [
{ {
"output_type": "display_data", "output_type": "display_data",
@ -930,7 +930,7 @@
"# Train YOLOv5s on COCO128 for 3 epochs\n", "# Train YOLOv5s on COCO128 for 3 epochs\n",
"!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --nosave --cache" "!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --nosave --cache"
], ],
"execution_count": 5, "execution_count": null,
"outputs": [ "outputs": [
{ {
"output_type": "stream", "output_type": "stream",