neuralib.atlas.brainrender.roi

class neuralib.atlas.brainrender.roi.RoiRenderCLI[source]
DESCRIPTION: str = 'For labelled rois reconstruction from 2dccf pipeline'

parser description.

DEFAULT_ROI_COLORS = ['orange', 'magenta', 'dimgray']
GROUP_ROIS = 'ROI View Option'
roi_region: str | tuple[str, ...]

only show rois in region(s)

radius: float

each roi radius

roi_alpha: float

region alpha value

roi_colors: str | tuple[str, ...]

colors of rois per region

region_col: str | None

if None, auto infer, and check the lowest merge level contain all the regions specified

inverse_lut: bool

inverse right/left maps to ipsi/contra hemisphere look up table

source_order: tuple[str, ...] | None

source order to follow the roi_colors

GROUP_ROIS_LOAD = 'ROI load Option'
classifier_file: Path | None

csv output file from allenccf

file: list[Path] | None

points file as ‘npy’ or ‘csv’

run()[source]

called when all argument attributes are set

render()[source]