40 lines
1.6 KiB
Bash
Executable File
40 lines
1.6 KiB
Bash
Executable File
#!/bin/bash
|
|
# CREDIT: https://github.com/pjreddie/darknet/tree/master/scripts/get_coco_dataset.sh
|
|
|
|
# Clone COCO API
|
|
git clone https://github.com/pdollar/coco && cd coco
|
|
|
|
# Download Images
|
|
mkdir images && cd images
|
|
wget -c https://pjreddie.com/media/files/train2014.zip
|
|
wget -c https://pjreddie.com/media/files/val2014.zip
|
|
|
|
# Unzip
|
|
unzip -q train2014.zip
|
|
unzip -q val2014.zip
|
|
|
|
# (optional) Delete zip files
|
|
rm -rf *.zip
|
|
|
|
cd ..
|
|
|
|
# Download COCO Metadata
|
|
wget -c https://pjreddie.com/media/files/instances_train-val2014.zip
|
|
wget -c https://pjreddie.com/media/files/coco/5k.part
|
|
wget -c https://pjreddie.com/media/files/coco/trainvalno5k.part
|
|
wget -c https://pjreddie.com/media/files/coco/labels.tgz
|
|
tar xzf labels.tgz
|
|
unzip -q instances_train-val2014.zip
|
|
|
|
# Set Up Image Lists
|
|
paste <(awk "{print \"$PWD\"}" <5k.part) 5k.part | tr -d '\t' > 5k.txt
|
|
paste <(awk "{print \"$PWD\"}" <trainvalno5k.part) trainvalno5k.part | tr -d '\t' > trainvalno5k.txt
|
|
|
|
# get xview training data
|
|
# 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'
|
|
# tar -xvzf train_images.tgz
|
|
# sudo rm -rf train_images/._*
|
|
# lastly convert each .tif to a .bmp for faster loading in cv2
|
|
|
|
# /home/glenn_jocher3/coco/images/train2014/COCO_train2014_000000167126.jpg # bad image??
|