在早期的Ultralytics版本的YOLOv3
https://github.com/ultralytics/yolov3/tree/e8c205b4122871710429b2e245dda9d2c40929b4/data
使用的是COCO2014数据集,组织方式同darknet版,在此做记录
下载并配置COCO数据集
MS-COCO 2014, 80 classes,
training82783
, validation40504
get_coco_dataset.sh
中的内容
#!/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
# ./coco/images/train2014/COCO_train2014_000000167126.jpg # corrupted image
组织结构
用到的linux命令
- 将压缩文件解压到特定文件夹下
unzip -d /temp test.zip
tar zxvf /source/kernel.tgz -C /source/ linux-2.6.29 - 将dir1下的文件复制到dir2,不包括dir1目录
cp -r dir1/. dir2
将dir1及其dir1下所包含的文件复制到dir2下
cp -r dir1 dir2 - 统计当前目录下文件的个数(包括子目录)
ls -lR| grep “^-” | wc -l