Ids
- class pado.images.ids.FilenamePartsMapper[source]
a plain mapper for ImageId instances based on filename only
- pado.images.ids.register_filename_mapper(site, mapper)[source]
used internally to register new mappers for ImageIds
- class pado.images.ids.ImageId(*parts: str, site: str | None = None)[source]
Unique identifier for images in pado datasets
- property site
return site of the image id
- property parts
return the parts of the image id
- property last
return the last part of the image id
- to_str()
serialize the ImageId instance to str
- classmethod from_str(image_id_str)[source]
create a new ImageId instance from an image id string
>>> ImageId.from_str("ImageId('abc', '123.svs')") ImageId('abc', '123.svs')
>>> ImageId.from_str('ImageId("123.svs", site="somewhere")') ImageId('123.svs', site='somewhere')
>>> img_id = ImageId('123.svs', site="somewhere") >>> img_id == ImageId.from_str(img_id.to_str()) True
- classmethod from_json(image_id_json)[source]
create a new ImageId instance from an image id json string
>>> ImageId.from_json('{"image_id":["abc","123.svs"]}') ImageId('abc', '123.svs')
>>> ImageId.from_json('{"image_id":["abc","123.svs"],"site":"somewhere"}') ImageId('123.svs', site='somewhere')
>>> img_id = ImageId('123.svs', site="somewhere") >>> img_id == ImageId.from_json(img_id.to_json()) True
- pado.images.ids.match_partial_image_ids_reversed(ids, image_id)[source]
match image_ids from back to front
returns None if no match raises ValueError in case match is ambiguous
- pado.images.ids.filter_image_ids(ids, target, *, missing=FilterMissing.WARN)[source]
filter the provided ids to return the subset matching target
- pado.images.ids.ensure_image_id(maybe_image_id)[source]
guarantees that ImageId types get cast to ImageId
- Return type:
- pado.images.ids.load_image_ids_from_csv(csv_file, *, csv_columns=None, no_header=False)[source]
load tuples from csv file
- Parameters:
csv_file – path to your csv file
csv_columns – a list of column names or column indices (None or [] means all)
no_header – if enabled assume csv file has no header (requires int indices in csv_columns)
- Returns:
image_ids – tuple of selected cells for each row
fieldnames – None if no_header=True else a list of column names