41 lines
1.5 KiB
Bash
41 lines
1.5 KiB
Bash
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#!/bin/bash
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# CREDIT: https://github.com/pjreddie/darknet/tree/master/scripts/get_coco_dataset.sh
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# Clone COCO API
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git clone https://github.com/pdollar/coco
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cd coco
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mkdir images
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cd images
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# Download Images
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wget -c https://pjreddie.com/media/files/train2014.zip
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wget -c https://pjreddie.com/media/files/val2014.zip
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# Unzip
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unzip -q train2014.zip
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unzip -q val2014.zip
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cd ..
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# Download COCO Metadata
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wget -c https://pjreddie.com/media/files/instances_train-val2014.zip
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wget -c https://pjreddie.com/media/files/coco/5k.part
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wget -c https://pjreddie.com/media/files/coco/trainvalno5k.part
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wget -c https://pjreddie.com/media/files/coco/labels.tgz
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tar xzf labels.tgz
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unzip -q instances_train-val2014.zip
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# Set Up Image Lists
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#paste <(awk "{print \"$PWD\"}" <5k.part) 5k.part | tr -d '\t' > 5k.txt
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#paste <(awk "{print \"$PWD\"}" <trainvalno5k.part) trainvalno5k.part | tr -d '\t' > trainvalno5k.txt
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sudo shutdown
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# get xview training data
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# wget -O train_images.tgz 'https://d307kc0mrhucc3.cloudfront.net/train_images.tgz?Expires=1530124049&Signature=JrQoxipmsETvb7eQHCfDFUO-QEHJGAayUv0i-ParmS-1hn7hl9D~bzGuHWG82imEbZSLUARTtm0wOJ7EmYMGmG5PtLKz9H5qi6DjoSUuFc13NQ-~6yUhE~NfPaTnehUdUMCa3On2wl1h1ZtRG~0Jq1P-AJbpe~oQxbyBrs1KccaMa7FK4F4oMM6sMnNgoXx8-3O77kYw~uOpTMFmTaQdHln6EztW0Lx17i57kK3ogbSUpXgaUTqjHCRA1dWIl7PY1ngQnLslkLhZqmKcaL-BvWf0ZGjHxCDQBpnUjIlvMu5NasegkwD9Jjc0ClgTxsttSkmbapVqaVC8peR0pO619Q__&Key-Pair-Id=APKAIKGDJB5C3XUL2DXQ'
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# tar -xvzf train_images.tgz
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# sudo rm -rf train_images/._*
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# lastly convert each .tif to a .bmp for faster loading in cv2
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