57 lines
1.5 KiB
Bash
57 lines
1.5 KiB
Bash
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#!/bin/bash
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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# Download COCO 2017 dataset http://cocodataset.org
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# Example usage: bash data/scripts/get_coco.sh
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# parent
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# ├── yolov5
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# └── datasets
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# └── coco ← downloads here
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# Arguments (optional) Usage: bash data/scripts/get_coco.sh --train --val --test --segments
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if [ "$#" -gt 0 ]; then
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for opt in "$@"; do
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case "${opt}" in
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--train) train=true ;;
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--val) val=true ;;
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--test) test=true ;;
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--segments) segments=true ;;
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esac
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done
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else
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train=true
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val=true
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test=false
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segments=false
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fi
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# Download/unzip labels
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d='../datasets' # unzip directory
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url=https://github.com/ultralytics/yolov5/releases/download/v1.0/
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if [ "$segments" == "true" ]; then
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f='coco2017labels-segments.zip' # 168 MB
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else
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f='coco2017labels.zip' # 168 MB
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fi
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echo 'Downloading' $url$f ' ...'
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curl -L $url$f -o $f -# && unzip -q $f -d $d && rm $f &
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# Download/unzip images
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d='../datasets/coco/images' # unzip directory
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url=http://images.cocodataset.org/zips/
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if [ "$train" == "true" ]; then
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f='train2017.zip' # 19G, 118k images
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echo 'Downloading' $url$f '...'
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curl -L $url$f -o $f -# && unzip -q $f -d $d && rm $f &
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fi
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if [ "$val" == "true" ]; then
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f='val2017.zip' # 1G, 5k images
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echo 'Downloading' $url$f '...'
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curl -L $url$f -o $f -# && unzip -q $f -d $d && rm $f &
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fi
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if [ "$test" == "true" ]; then
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f='test2017.zip' # 7G, 41k images (optional)
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echo 'Downloading' $url$f '...'
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curl -L $url$f -o $f -# && unzip -q $f -d $d && rm $f &
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fi
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wait # finish background tasks
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