fiftyone.zoo.datasets.base.KITTIMultiviewDataset

class documentation

class KITTIMultiviewDataset(FiftyOneDataset): (source)

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KITTI contains a suite of vision tasks built using an autonomous driving platform.

This dataset contains the following multiview data for each scene:

  • Left camera images annotated with 2D object detections
  • Right camera images annotated with 2D object detections
  • Velodyne LIDAR point clouds annotated with 3D object detections

The training split contains 7,481 annotated scenes, and the test split contains 7,518 unlabeled scenes.

A full description of the annotations can be found in the README of the object development kit on the KITTI homepage.

Example usage:

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset("kitti-multiview", split="train")

session = fo.launch_app(dataset)
Dataset size
53.34 GB
Source
http://www.cvlibs.net/datasets/kitti
Property has_patches Whether the dataset has patches that may need to be applied to already downloaded files.
Property license The license or list,of,licenses under which the dataset is distributed, or None if unknown.
Property name The name of the dataset.
Property supported_splits A tuple of supported splits for the dataset, or None if the dataset does not have splits.
Property supports_partial_downloads Whether the dataset supports downloading partial subsets of its splits.
Property tags A tuple of tags for the dataset.
Method _download_and_prepare Internal implementation of downloading the dataset and preparing it for use in the given directory.
Method _patch_if_necessary Internal method called when an already downloaded dataset may need to be patched.

Inherited from ZooDataset (via FiftyOneDataset):

Static Method get_info_path Returns the path to the ZooDatasetInfo for the dataset.
Static Method has_info Determines whether the directory contains ZooDatasetInfo.
Static Method load_info Loads the ZooDatasetInfo from the given dataset directory.
Method download_and_prepare Downloads the dataset and prepares it for use.
Method get_split_dir Returns the directory for the given split of the dataset.
Method has_split Whether the dataset has the given split.
Method has_tag Whether the dataset has the given tag.
Property has_splits Whether the dataset has splits.
Property has_tags Whether the dataset has tags.
Property importer_kwargs A dict of default kwargs to pass to this dataset's fiftyone.utils.data.importers.DatasetImporter.
Property is_remote Whether the dataset is remotely-sourced.
Property parameters An optional dict of parameters describing the configuration of the zoo dataset when it was downloaded.
Property requires_manual_download Whether this dataset requires some files to be manually downloaded by the user before the dataset can be loaded.
Method _get_splits_to_download Undocumented
Method _is_dataset_ready Undocumented
Method _is_split_ready Undocumented
@property
has_patches = (source)
overrides fiftyone.zoo.datasets.ZooDataset.has_patches

Whether the dataset has patches that may need to be applied to already downloaded files.

@property
license = (source)
overrides fiftyone.zoo.datasets.ZooDataset.license

The license or list,of,licenses under which the dataset is distributed, or None if unknown.

@property
name = (source)
overrides fiftyone.zoo.datasets.ZooDataset.name

The name of the dataset.

@property
supported_splits = (source)
overrides fiftyone.zoo.datasets.ZooDataset.supported_splits

A tuple of supported splits for the dataset, or None if the dataset does not have splits.

@property
supports_partial_downloads = (source)
overrides fiftyone.zoo.datasets.ZooDataset.supports_partial_downloads

Whether the dataset supports downloading partial subsets of its splits.

@property
tags = (source)
overrides fiftyone.zoo.datasets.ZooDataset.tags

A tuple of tags for the dataset.

def _download_and_prepare(self, dataset_dir, scratch_dir, split): (source)
overrides fiftyone.zoo.datasets.ZooDataset._download_and_prepare

Internal implementation of downloading the dataset and preparing it for use in the given directory.

Parameters
dataset_dirthe directory in which to construct the dataset. If a split is provided, this is the directory for the split
scratch_dira scratch directory to use to download and prepare any required intermediate files
splitthe split to download, or None if the dataset does not have splits
Returns
tuple of
  • dataset_type: the fiftyone.types.Dataset type of the dataset
  • num_samples: the number of samples in the split. For datasets that support partial downloads, this can be None, which indicates that all content was already downloaded
  • classes: an optional list of class label strings
def _patch_if_necessary(self, dataset_dir, split): (source)
overrides fiftyone.zoo.datasets.ZooDataset._patch_if_necessary

Internal method called when an already downloaded dataset may need to be patched.

Parameters
dataset_dirthe directory containing the dataset
splitthe split to patch, or None if the dataset does not have splits