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 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
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