open3d.ml.torch.datasets.SunRGBD

class open3d.ml.torch.datasets.SunRGBD(dataset_path, name='SunRGBD', cache_dir='./logs/cache', use_cache=False, **kwargs)

SunRGBD 3D dataset for Object Detection, used in visualizer, training, or test.

__init__(dataset_path, name='SunRGBD', cache_dir='./logs/cache', use_cache=False, **kwargs)

Initialize the dataset by passing the dataset and other details.

Parameters
  • dataset_path (str) – The path to the dataset to use.

  • name (str) – The name of the dataset (SunRGBD in this case).

  • cache_dir (str) – The directory where the cache is stored.

  • use_cache (bool) – Indicates if the dataset should be cached.

get_label_to_names()

Returns a label to names dictonary object.

Returns

A dict where keys are label numbers and values are the corresponding names.

get_split(split)

Returns a dataset split.

Parameters
  • split – A string identifying the dataset split that is usually one of

  • 'training'

  • 'test'

  • 'validation'

  • 'all'. (or) –

Returns

A dataset split object providing the requested subset of the data.

get_split_list(split)
is_tested()

Checks whether a datum has been tested.

Parameters

attr – The attributes associated with the datum.

Returns

This returns True if the test result has been stored for the datum with the specified attribute; else returns False.

read_label(path)
static read_lidar(path)
save_test_result()

Saves the output of a model.

Parameters
  • results – The output of a model for the datum associated with the attribute passed.

  • attr – The attributes that correspond to the outputs passed in results.