meerkat.interactive.app.src.lib.component.core.MedicalImage
meerkat.interactive.app.src.lib.component.core.MedicalImage¶
- class MedicalImage(*, data: List[str], classes: str = '', show_toolbar: bool = False, dim: int, segmentation_column: str = '', on_fetch: meerkat.interactive.endpoint.EndpointProperty[meerkat.interactive.app.src.lib.component.core.medimage.OnFetchInterface], cell_info: Any = None, **kwargs)[source]¶
A component for displaying medical images.
- Parameters
data – An array of base64 encoded images.
classes – A string of classes to apply to the component.
show_toolbar – Whether to show the toolbar.
on_fetch – An endpoint to call when the component needs to fetch data.
- __init__(**kwargs)¶
Methods
__init__
(**kwargs)append
(other)construct
([_fields_set])Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
copy
(*[, include, exclude, update, deep])Duplicate a model, optionally choose which fields to include, exclude and change.
dict
(*[, include, exclude, by_alias, ...])Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
from_id
(id)from_orm
(obj)get_components
()json
(*[, include, exclude, by_alias, ...])Generate a JSON representation of the model, include and exclude arguments as per dict().
parse_file
(path, *[, content_type, ...])parse_obj
(obj)parse_raw
(b, *[, content_type, encoding, ...])prepend_meerkat_id_prefix
(id)schema
([by_alias, ref_template])schema_json
(*[, by_alias, ref_template])update_forward_refs
(**localns)Try to update ForwardRefs on fields based on this Model, globalns and localns.
validate
(value)Attributes
alias
component_name
event_names
events
frontend
Returns a Pydantic model that can be should be sent to the frontend.
frontend_alias
id
identifiable_group
library
namespace
path
prop_bindings
prop_names
props
slots
slottable
virtual_props
Props, and all events (as_*) as props.
wrapper_import_style
data
classes
show_toolbar
dim
segmentation_column
on_fetch
cell_info