open3d.ml.tf.datasets.SunRGBD¶
-
class
open3d.ml.tf.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 dictionary 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.
-