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52 lines
1.6 KiB
Bash
52 lines
1.6 KiB
Bash
#!/bin/bash
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
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# Download ILSVRC2012 ImageNet dataset https://image-net.org
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# Example usage: bash data/scripts/get_imagenet.sh
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# parent
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# ├── yolov5
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# └── datasets
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# └── imagenet ← downloads here
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# Arguments (optional) Usage: bash data/scripts/get_imagenet.sh --train --val
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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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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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fi
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# Make dir
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d='../datasets/imagenet' # unzip directory
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mkdir -p $d && cd $d
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# Download/unzip train
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if [ "$train" == "true" ]; then
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wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_train.tar # download 138G, 1281167 images
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mkdir train && mv ILSVRC2012_img_train.tar train/ && cd train
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tar -xf ILSVRC2012_img_train.tar && rm -f ILSVRC2012_img_train.tar
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find . -name "*.tar" | while read NAME; do
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mkdir -p "${NAME%.tar}"
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tar -xf "${NAME}" -C "${NAME%.tar}"
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rm -f "${NAME}"
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done
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cd ..
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fi
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# Download/unzip val
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if [ "$val" == "true" ]; then
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wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_val.tar # download 6.3G, 50000 images
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mkdir val && mv ILSVRC2012_img_val.tar val/ && cd val && tar -xf ILSVRC2012_img_val.tar
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wget -qO- https://raw.githubusercontent.com/soumith/imagenetloader.torch/master/valprep.sh | bash # move into subdirs
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fi
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# Delete corrupted image (optional: PNG under JPEG name that may cause dataloaders to fail)
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# rm train/n04266014/n04266014_10835.JPEG
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# TFRecords (optional)
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# wget https://raw.githubusercontent.com/tensorflow/models/master/research/slim/datasets/imagenet_lsvrc_2015_synsets.txt
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