cifar2png
Convert CIFAR-10 or CIFAR-100 dataset into PNG images.
Install
$ pip install cifar2png
Usage
$ cifar2png <dataset> <output_dir> [--name-with-batch-index]
dataset
: Specifycifar10
orcifar100
orcifar100superclass
output_dir
: Path to save PNG converted dataset (The directory will be created automatically).--name-with-batch-index
: (optional) Name image files based on batch name and index of cifar10/cifar100 dataset.
Automatically download cifar-10-python.tar.gz
or cifar-100-python.tar.gz
to the current directory from CIFAR-10 and CIFAR-100 datasets when you run this tool.
Examples
CIFAR-10
$ cifar2png cifar10 path/to/cifar10png
CIFAR-10 with naming option
$ cifar2png cifar10 path/to/cifar10png --name-with-batch-index
CIFAR-100
$ cifar2png cifar100 path/to/cifar100png
CIFAR-100 with superclass
$ cifar2png cifar100superclass path/to/cifar100png
Structure of output directory
CIFAR-10 and CIFAR-100
PNG images of CIFAR-10 are saved in 10 subdirectories of each label under the test
and train
directories as below.
(CIFAR-100 are saved in the same way with 100 subdirectories)
$ tree -d path/to/cifar10png
path/to/cifar10png
├── test
│ ├── airplane
│ ├── automobile
│ ├── bird
│ ├── cat
│ ├── deer
│ ├── dog
│ ├── frog
│ ├── horse
│ ├── ship
│ └── truck
└── train
├── airplane
├── automobile
├── bird
├── cat
├── deer
├── dog
├── frog
├── horse
├── ship
└── truck
$ tree path/to/cifar10png/test/airplane
path/to/cifar10png/test/airplane
├── 0001.png
├── 0002.png
├── 0003.png
(..snip..)
├── 0998.png
├── 0999.png
└── 1000.png
When dataset created using the --name-with-batch-index
option.
$ tree path/to/cifar10png/train/airplane
path/to/cifar10png/train/airplane
├── data_batch_1_index_0029.png
├── data_batch_1_index_0030.png
├── data_batch_1_index_0035.png
(..snip..)
├── data_batch_5_index_9941.png
├── data_batch_5_index_9992.png
└── data_batch_5_index_9994.png
CIFAR-100 with superclass
PNG images of CIFAR-100 with superclass are saved in each label directories under the superclass subdirectories under the test and train directories as below.
$ tree -d path/to/cifar100png
path/to/cifar100png
├── test
│ ├── aquatic_mammals
│ │ ├── beaver
│ │ ├── dolphin
│ │ ├── otter
│ │ ├── seal
│ │ └── whale
│ ├── fish
│ │ ├── aquarium_fish
│ │ ├── flatfish
│ │ ├── ray
│ │ ├── shark
│ │ └── trout
│ ├── flowers
│ │ ├── orchid
│ │ ├── poppy
│ │ ├── rose
│ │ ├── sunflower
│ │ └── tulip
(..snip..)
├── trees
│ ├── maple_tree
│ ├── oak_tree
│ ├── palm_tree
│ ├── pine_tree
│ └── willow_tree
├── vehicles_1
│ ├── bicycle
│ ├── bus
│ ├── motorcycle
│ ├── pickup_truck
│ └── train
└── vehicles_2
├── lawn_mower
├── rocket
├── streetcar
├── tank
└── tractor