Created
April 9, 2018 09:41
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Save mkocabas/a6177fc00315403d31572e17700d7fd9 to your computer and use it in GitHub Desktop.
Download COCO dataset. Run under 'datasets' directory.
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| mkdir coco | |
| cd coco | |
| mkdir images | |
| cd images | |
| wget http://images.cocodataset.org/zips/train2017.zip | |
| wget http://images.cocodataset.org/zips/val2017.zip | |
| wget http://images.cocodataset.org/zips/test2017.zip | |
| wget http://images.cocodataset.org/zips/unlabeled2017.zip | |
| unzip train2017.zip | |
| unzip val2017.zip | |
| unzip test2017.zip | |
| unzip unlabeled2017.zip | |
| rm train2017.zip | |
| rm val2017.zip | |
| rm test2017.zip | |
| rm unlabeled2017.zip | |
| cd ../ | |
| wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip | |
| wget http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip | |
| wget http://images.cocodataset.org/annotations/image_info_test2017.zip | |
| wget http://images.cocodataset.org/annotations/image_info_unlabeled2017.zip | |
| unzip annotations_trainval2017.zip | |
| unzip stuff_annotations_trainval2017.zip | |
| unzip image_info_test2017.zip | |
| unzip image_info_unlabeled2017.zip | |
| rm annotations_trainval2017.zip | |
| rm stuff_annotations_trainval2017.zip | |
| rm image_info_test2017.zip | |
| rm image_info_unlabeled2017.zip |
The exact same script but with the modification proposed by @buttercutter, @ben-xD and @AlessandroMondin (memory constraint)
First open three separate shells and lay out them for convenient use:
On the first one do the following: (you may need to use sudo if permission denied error appears )
mkdir coco
cd coco
mkdir images
cd images
wget -c http://images.cocodataset.org/zips/train2017.zip
On the second:
cd coco/images/
wget -c http://images.cocodataset.org/zips/val2017.zip
wget -c http://images.cocodataset.org/zips/test2017.zip
Note that you will need to press Enter on shell 2 to download test2017.zip after it finishes val2017.zip
On the third:
cd coco/images/
wget -c http://images.cocodataset.org/zips/unlabeled2017.zip
Wait a little while (or do some five-minute stretching 😄 ) until processes on shells one and two finish.
Back on the first shell, issue the following:
unzip train2017.zip
unzip val2017.zip
unzip test2017.zip
unzip unlabeled2017.zip
rm train2017.zip
rm val2017.zip
rm test2017.zip
rm unlabeled2017.zip
On the second shell:
cd ../
wget -c http://images.cocodataset.org/annotations/annotations_trainval2017.zip
wget -c http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip
wget -c http://images.cocodataset.org/annotations/image_info_test2017.zip
wget -c http://images.cocodataset.org/annotations/image_info_unlabeled2017.zip
unzip annotations_trainval2017.zip
rm annotations_trainval2017.zip
unzip stuff_annotations_trainval2017.zip
rm stuff_annotations_trainval2017.zip
unzip image_info_test2017.zip
rm image_info_test2017.zip
unzip image_info_unlabeled2017.zip
rm image_info_unlabeled2017.zip
By the time shells one and two finish, the shell three will have finished its job. Hope it helps save some time. 🤝
same script but instead of 5 min stretch, try doing squats.
Everything but Claude Haiku-fied with <script> + separate and run them in parallel (maybe background processes)
# Create the coco directory and cd into it
mkdir coco
cd coco
# Create the images directory and cd into it
mkdir images
cd images
# Download the dataset zip files in parallel
wget http://images.cocodataset.org/zips/train2017.zip &
wget http://images.cocodataset.org/zips/val2017.zip &
wget http://images.cocodataset.org/zips/test2017.zip &
wget http://images.cocodataset.org/zips/unlabeled2017.zip &
wait
# Unzip the dataset zip files in parallel
unzip train2017.zip &
unzip val2017.zip &
unzip test2017.zip &
unzip unlabeled2017.zip &
wait
# Remove the zip files
rm train2017.zip
rm val2017.zip
rm test2017.zip
rm unlabeled2017.zip
# Go back to the coco directory
cd ../
# Download the annotation zip files in parallel
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip &
wget http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip &
wget http://images.cocodataset.org/annotations/image_info_test2017.zip &
wget http://images.cocodataset.org/annotations/image_info_unlabeled2017.zip &
wait
# Unzip the annotation zip files in parallel
unzip annotations_trainval2017.zip &
unzip stuff_annotations_trainval2017.zip &
unzip image_info_test2017.zip &
unzip image_info_unlabeled2017.zip &
wait
# Remove the zip files
rm annotations_trainval2017.zip
rm stuff_annotations_trainval2017.zip
rm image_info_test2017.zip
rm image_info_unlabeled2017.zip
Lol, the script downloaeded files, and then deleted them right away, because unzip was not found.
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Great! Thanks, the only think that might further improve it would be to rm zip file right after having unzipped them. Might be useful for all the people that while working on VMs might have memory constraints