open3d.ml.torch.datasets.Custom3D¶
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class
open3d.ml.torch.datasets.Custom3D(dataset_path, name='Custom3D', cache_dir='./logs/cache', use_cache=False, num_points=65536, ignored_label_inds=[], test_result_folder='./test', **kwargs)¶ A template for customized datasetthat you can use with a dataloader to feed data when training a model. This inherits all functions from the base dataset and can be modified by users. Initialize the function by passing the dataset and other details.
- Parameters
dataset_path – The path to the dataset to use.
name – The name of the dataset.
cache_dir – The directory where the cache is stored.
use_cache – Indicates if the dataset should be cached.
num_points – The maximum number of points to use when splitting the dataset.
ignored_label_inds – A list of labels that should be ignored in the dataset.
test_result_folder – The folder where the test results should be stored.
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__init__(dataset_path, name='Custom3D', cache_dir='./logs/cache', use_cache=False, num_points=65536, ignored_label_inds=[], test_result_folder='./test', **kwargs)¶ ” Initialize the class by passing the dataset path.
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static
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.
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get_split(split)¶ Returns a dataset split.
- Parameters
split – A string identifying the dataset split that is usually one of
'test', 'validation', or 'all'. ('training',) –
- Returns
A dataset split object providing the requested subset of the data.
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get_split_list(split)¶ Returns a dataset split.
- Parameters
split – A string identifying the dataset split that is usually one of
'test', 'validation', or 'all'. ('training',) –
- Returns
A dataset split object providing the requested subset of the data.
- Raises:
ValueError: Indicates that the split name passed is incorrect. The split name should be one of
’training’, ‘test’, ‘validation’, or ‘all’.
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is_tested(attr)¶ 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.
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save_test_result(results, attr)¶ 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.