fiftyone.utils.openimages.OpenImagesV6DatasetImporter

class documentation

class OpenImagesV6DatasetImporter(OpenImagesDatasetImporter): (source)

Constructor: OpenImagesV6DatasetImporter(dataset_dir, label_types, classes, attrs, ...)

Base class for importing datasets in Open Images V6 format.

See fiftyone.types.OpenImagesDataset for format details.

Parameters
dataset_dir	the dataset directory
label_types	a label type or list of label types to load. The supported values are `("detections", "classifications", "relationships", "segmentations")`. By default, all supported label types for version are loaded
classes	a string or list of strings specifying required classes to load. If provided, only samples containing at least one instance of a specified class will be loaded
attrs	a string or list of strings specifying required relationship attributes to load. Only applicable when `label_types` includes "relationships". If provided, only samples containing at least one instance of a specified attribute will be loaded
image_ids	an optional list of specific image IDs to load. Can be provided in any of the following formats: a list of `<image-id>` strings a list of `<split>/<image-id>` strings the path to a text (newline-separated), JSON, or CSV file containing the list of image IDs to load in either of the first two formats
include_id	whether to load the Open Images ID for each sample along with the labels
only_matching	whether to only load labels that match the `classes` or `attrs` requirements that you provide (True), or to load all labels for samples that match the requirements (False)
load_hierarchy	whether to load the classes hierarchy and add it to the dataset's `info` dictionary
shuffle	whether to randomly shuffle the order in which the samples are imported
seed	a random seed to use when shuffling
max_samples	a maximum number of samples to load. If `label_types`, `classes`, and/or `attrs` are also specified, first priority will be given to samples that contain all of the specified label types, classes, and/or attributes, followed by samples that contain at least one of the specified labels types or classes. The actual number of samples loaded may be less than this maximum value if the dataset does not contain sufficient samples matching your requirements. By default, all matching samples are loaded

Method	`__init__`	Undocumented
Instance Variable	`version`	Undocumented

Inherited from OpenImagesDatasetImporter:

Method	`__iter__`	Undocumented
Method	`__len__`	The total number of samples that will be imported.
Method	`__next__`	Returns information about the next sample in the dataset.
Method	`get_dataset_info`	Returns the dataset info for the dataset.
Method	`setup`	Performs any necessary setup before importing the first sample in the dataset.
Property	`has_dataset_info`	Whether this importer produces a dataset info dictionary.
Property	`has_image_metadata`	Whether this importer produces `fiftyone.core.metadata.ImageMetadata` instances for each image.
Property	`label_cls`	The `fiftyone.core.labels.Label` class(es) returned by this importer.
Instance Variable	`_attrs_map`	Undocumented
Instance Variable	`_classes_map`	Undocumented
Instance Variable	`_cls_data`	Undocumented
Instance Variable	`_det_data`	Undocumented
Instance Variable	`_images_map`	Undocumented
Instance Variable	`_info`	Undocumented
Instance Variable	`_iter_uuids`	Undocumented
Instance Variable	`_pnt_data`	Undocumented
Instance Variable	`_point_classes_map`	Undocumented
Instance Variable	`_rel_data`	Undocumented
Instance Variable	`_seg_data`	Undocumented
Instance Variable	`_uuids`	Undocumented
Property	`_has_scalar_labels`	Undocumented

Inherited from DatasetImporter (via OpenImagesDatasetImporter, LabeledImageDatasetImporter):

Method	`__enter__`	Undocumented
Method	`__exit__`	Undocumented
Method	`close`	Performs any necessary actions after the last sample has been imported.
Method	`_preprocess_list`	Internal utility that preprocesses the given list---which is presumed to be a list defining the samples that should be imported---by applying the values of the `shuffle`, `seed`, and `max_samples` parameters of the importer.

def __init__(self, dataset_dir, label_types=None, classes=None, attrs=None, image_ids=None, include_id=True, only_matching=False, load_hierarchy=True, shuffle=False, seed=None, max_samples=None): (source) ¶

overrides fiftyone.utils.openimages.OpenImagesDatasetImporter.__init__

Undocumented

version: str = (source) ¶

Undocumented