v0.16.10

Allow creating a dataset by crawling all images in a directory, recursively. Also supports privacy mode datasets.

Example structure:

~/Documents/
    data/
        2022/
            - img01.png
            - img02.png
        2023/
            - img01.png
            - img02.png

Default Example:

data_dir = "~/Documents/data"
client.create_dataset_from_dir(data_dir)
# this will create a dataset named "data" and will contain 4 images, with the ref IDs:
# ["2022/img01.png", "2022/img02.png", "2023/img01.png", "2023/img02.png"]

Example Privacy Mode:

This requires that a proxy (or file server) is setup and can serve files relative to the data_dir

data_dir = "~/Documents/data"
client.create_dataset_from_dir(
    data_dir,
    dataset_name='my-dataset',
    use_privacy_mode=True,
    privacy_mode_proxy="http://localhost:5000/assets/"
)

This would create a dataset my-dataset, and when opened in Nucleus, the images would be requested to the path:
<privacy_mode_proxy>/<img ref id>, for example: http://localhost:5000/assets/2022/img01.png

Improved

• Method to allow for concurrent task fetches for pointcloud data, client.download_pointcloud_tasks(task_ids: List[str], frame_num: int)

Example:

>>> task_ids = ['task_1', 'task_2']
>>> resp = client.download_pointcloud_tasks(task_ids=task_ids, frame_num=1)
>>> resp
{
  'task_1': [Point3D(x=5, y=10.7, z=-2.3), ...],
  'task_2': [Point3D(x=1.3 y=11.1, z=1.5), ...],
}