datadings.sets.Places365_write module
usage: Places365_write.py [-h] [-o PATH] [-y] [-s] [-l] [-c] INDIR
Create Places365 data set files. You can choose between any combination of
high or low resolution images and
standard or challenge (extended) training data set
This tool will look for the following files in the input directory depending on the chosen version and download them if necessary:
standard (large)
train_large_places365standard.tar (105 GB)
val_large.tar (2.1 GB)
test_large.tar (19 GB)
standard (small)
train_256_places365standard.tar (24 GB)
val_256.tar (501 MB)
test_256.tar (4.4 GB)
challenge (large)
train_large_places365challenge.tar (476 GB)
val_large.tar (2.1 GB)
test_large.tar (19 GB)
challenge (small)
train_256_places365challenge.tar (108 GB)
val_256.tar (501 MB)
test_256.tar (4.4 GB)
Important
For performance reasons shuffling is not available. It is recommended to use the datadings-shuffle command to create a shuffled copy.
Important
Samples have the following keys:
"key"
"image"
"label"
Positional arguments
INDIR Directory that contains dataset source files.
- options:
- -h, --help
show this help message and exit
- -o PATH, --outdir PATH
Output directory. Defaults to indir.
- -y, --no-confirm
Don’t require user interaction.
- -s, --skip-verification
Skip verification of source files.
- -l, --low-res
Download the resized and cropped images (256x256). Default are images with minimum dimension of 512 and preserved aspect ratio.
- -c, --challenge
Download the extended challenge training dataset. Validation and testing are the same.