WillowObject

class pygmtools.dataset.WillowObject(sets, obj_resize, ds_dict=None, **args)

This class is defined to download and preprocess WillowObject dataset.

Parameters

• sets – str, problem set, ‘train’ for training set and ‘test’ for test set

• obj_resize – tuple, resized image size

• ds_dict –

  settings of dataset, containing at most 4 params(keys) for WillowObject:

  TRAIN_NUM: int, number of images for train in each class

  SPLIT_OFFSET: int, offset when split train and test set

  TRAIN_SAME_AS_TEST: bool, whether to use same images for training and test

  RAND_OUTLIER: int, number of added outliers in one image

download(url=None)

Automatically download WillowObject dataset.

Parameters

url – str, web url of WillowObject

process()

Process the dataset and generate ‘data-(size, size).json’ for preprocessed dataset, ‘train.json’ for training set, and ‘test.json’ for test set.