WillowObject

class pygmtools.dataset.WillowObject(sets, obj_resize, **ds_dict)

Download and preprocess Willow Object Class dataset.

Parameters

• sets – str, problem set, 'train' for training set and 'test' for testing set

• obj_resize – tuple, resized image size

• ds_dict –

  settings of dataset, containing at most 6 params(keys) for WillowObject:

  • ROOT_DIR: str, directory of data

  • CLASSES: list, data classes

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

  • SPLIT_OFFSET: int, offset when split train and testing 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, retries=5)

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 testing set.