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https://github.com/ultralytics/yolov5.git
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41523e2c91
* initial commit * move download scripts into data/scripts * new check_dataset() function in general.py * move check_dataset() out of with context * Update general.py * DDP update * Update general.py
22 lines
926 B
Bash
Executable File
22 lines
926 B
Bash
Executable File
#!/bin/bash
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# COCO 2017 dataset http://cocodataset.org
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# Download command: bash data/scripts/get_coco.sh
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# Train command: python train.py --data coco.yaml
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# Default dataset location is next to /yolov5:
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# /parent_folder
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# /coco
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# /yolov5
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# Download/unzip labels
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echo 'Downloading COCO 2017 labels ...'
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d='../' # unzip directory
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f='coco2017labels.zip' && curl -L https://github.com/ultralytics/yolov5/releases/download/v1.0/$f -o $f
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unzip -q $f -d $d && rm $f
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# Download/unzip images
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echo 'Downloading COCO 2017 images ...'
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d='../coco/images' # unzip directory
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f='train2017.zip' && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d $d && rm $f # 19G, 118k images
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f='val2017.zip' && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d $d && rm $f # 1G, 5k images
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# f='test2017.zip' && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d $d && rm $f # 7G, 41k images
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