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#!/bin/bash
# Ultralytics YOLO 🚀, AGPL-3.0 license
# Download ILSVRC2012 ImageNet dataset https://image-net.org
# Example usage: bash data/scripts/get_imagenet.sh
# parent
# ├── ultralytics
# └── datasets
# └── imagenet ← downloads here
# Arguments (optional) Usage: bash data/scripts/get_imagenet.sh --train --val
if [ "$#" -gt 0 ]; then
for opt in "$@"; do
case "${opt}" in
--train) train=true ;;
--val) val=true ;;
esac
done
else
train=true
val=true
fi
# Make dir
d='../datasets/imagenet' # unzip directory
mkdir -p $d && cd $d
# Download/unzip train
if [ "$train" == "true" ]; then
wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_train.tar # download 138G, 1281167 images
mkdir train && mv ILSVRC2012_img_train.tar train/ && cd train
tar -xf ILSVRC2012_img_train.tar && rm -f ILSVRC2012_img_train.tar
find . -name "*.tar" | while read NAME; do
mkdir -p "${NAME%.tar}"
tar -xf "${NAME}" -C "${NAME%.tar}"
rm -f "${NAME}"
done
cd ..
fi
# Download/unzip val
if [ "$val" == "true" ]; then
wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_val.tar # download 6.3G, 50000 images
mkdir val && mv ILSVRC2012_img_val.tar val/ && cd val && tar -xf ILSVRC2012_img_val.tar
wget -qO- https://raw.githubusercontent.com/soumith/imagenetloader.torch/master/valprep.sh | bash # move into subdirs
fi
# Delete corrupted image (optional: PNG under JPEG name that may cause dataloaders to fail)
# rm train/n04266014/n04266014_10835.JPEG
# TFRecords (optional)
# wget https://raw.githubusercontent.com/tensorflow/models/master/research/slim/datasets/imagenet_lsvrc_2015_synsets.txt
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