core.services.data.dataset.uploader.utils¶
utils
¶
Functions:
Name | Description |
---|---|
get_datalake_and_tag |
Retrieve datalake and data_tag from context or arguments. |
initialize_coco_data |
Ensure COCO data is initialized properly. |
configure_dataset_type |
Configure dataset type if not already set. |
determine_inference_type |
Determine and set the inference type based on annotations. |
upload_images_and_annotations |
Upload dataset based on inference type. |
upload_images |
Upload images to the dataset. |
upload_annotations |
Upload annotations based on inference type. |
get_datalake_and_tag(context, datalake, data_tag)
¶
Retrieve datalake and data_tag from context or arguments.
initialize_coco_data(dataset)
¶
Ensure COCO data is initialized properly.
configure_dataset_type(dataset, annotations)
¶
Configure dataset type if not already set.
determine_inference_type(dataset, annotations)
¶
Determine and set the inference type based on annotations.
upload_images_and_annotations(dataset, datalake, data_tag, use_id=True, fail_on_asset_not_found=True, replace_annotations=False)
¶
Upload dataset based on inference type.
Supports Classification, Object Detection, and Segmentation inference types.
upload_images(dataset, datalake, data_tag)
¶
Upload images to the dataset.
upload_annotations(dataset, use_id=True, fail_on_asset_not_found=True, replace_annotations=False)
¶
Upload annotations based on inference type.
Supports Classification, Object Detection, and Segmentation inference types.