cloudViewer.ml.torch.datasets.Waymo#
- class cloudViewer.ml.torch.datasets.Waymo(dataset_path, name='Waymo', cache_dir='./logs/cache', use_cache=False, val_split=3, **kwargs)[source]#
This class is used to create a dataset based on the Waymo 3D dataset, and used in object detection, visualizer, training, or testing.
The Waymo 3D dataset is best suited for autonomous driving applications.
- __init__(dataset_path, name='Waymo', cache_dir='./logs/cache', use_cache=False, val_split=3, **kwargs)[source]#
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 (Waymo in this case).
cache_dir – The directory where the cache is stored.
use_cache – Indicates if the dataset should be cached.
val_split – The split value to get a set of images for training, validation, for testing.
- Returns:
The corresponding class.
- Return type:
class
- static get_label_to_names()[source]#
Returns a label to names dictonary object.
- Returns:
A dict where keys are label numbers and values are the corresponding names.
- get_split(split)[source]#
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)[source]#
Returns the list of data splits available.
- 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.
- Raises:
ValueError – Indicates that the split name passed is incorrect. The
split name should be one of 'training', 'test', 'validation', or –
'all'. –
- is_tested(attr)[source]#
Checks if a datum in the dataset has been tested.
- Parameters:
dataset – The current dataset to which the datum belongs to.
attr – The attribute that needs to be checked.
- Returns:
If the dataum attribute is tested, then resturn the path where the attribute is stored; else, returns false.
- static read_calib(path)[source]#
Reads calibiration for the dataset. You can use them to compare modeled results to observed results.
- Returns:
The camera and the camera image used in calibration.
- static read_label(path, calib)[source]#
Reads labels of bound boxes.
- Returns:
The data objects with bound boxes information.