v0.17.9

Added export_class_labels for slices and datasets.

Example usage

dataset = client.get_dataset(DATASET_ID)
class_labels = dataset.export_class_labels()

slice = dataset.get_slices()[0]
class_labels = slice.export_class_labels()

v0.17.5

Added

• Method for uploading lidar semantic segmentation predictions, via dataset.upload_lidar_semseg_predictions

Example usage:

dataset = client.get_dataset("ds_...")
model = client.get_model("prj_...")
pointcloud_ref_id = 'pc_ref_1'
predictions_s3 = "s3://temp/predictions.json"

dataset.upload_lidar_semseg_predictions(model, pointcloud_ref_id, predictions_s3)

v0.17.3

Added

• Added the environment variable S3_ENDPOINT to accommodate for nonstandard S3 Endpoint URLs when asking for presigned URLs

v0.17.2

Modified

In Dataset.create_slice, the reference_ids parameter is now optional. If left unspecified, it will create an empty slice

v0.17.0

Added

• Added dataset.add_items_from_dir
• Added pytest-xdist for test parallelization

Fixes

• Fix test test_models.test_remove_invalid_tag_from_model

v0.16.17

Update docs

v0.16.16

updated docstrings

v0.16.15

Fix concurrent point cloud download

v0.16.13

Bumped version to 0.16.13 (#420)

v0.16.12

Introduced slice tags

Example:

>>> slc = client.get_slice('slc_id')
>>> tags = slc.tags
>>> slc.add_tags(['new_tag_1', 'new_tag_2'])