A python module containing both a full imagenet dataset object conforming to skdata standards, and various related subsets.
This folder will be created when using datasets: ~/.skdata/imagenet/images
Which is where the images will may be cached locally (not default, see dataset.get_images for documentation)
You will need a user account on our database (or a similarly configured one). Email [email protected].
$ pip install git+http://github.com/dicarlolab/imagenet.git#egg=imagenet
or if you don't have root access
$ pip install --user -e git+http://github.com/dicarlolab/imagenet.git#egg=imagenet
you have to install the requirements from the requirements file as well
pip install -r requirements.txt
tunnel to the database
ssh -f -N -L 27017:localhost:27017 [email protected]
you must also use the nltk package to download wordnet
nltk.download('wordnet')Import the dataset and call its constructor
import imagenet.dldatasets as d
dataset = d.Challenge_Synsets_20_Pixel_Hard()
The dataset has a meta tabular array object
meta = dataset.meta
And a dictionary containing a dictionary of information about each synset, each of which is represented by a wordnet id
synset_meta = dataset.synset_meta
list_of_wordnet_ids = synset_meta.keys()
info_about_first_synset = synset_meta[list_of_wordnet_ids[0]].keys()
get_images() can use the dataset.default_preproc spec
images = dataset.get_images(dataset.default_preproc)