Extract annotations from a neuroglancer scene into a dataframe
Source:R/ng-annotations.R
ngl_annotations.Rd
Extract annotations from a neuroglancer scene into a dataframe
Arguments
- x
A neuroglancer scene or URL (passed to
ngl_decode_scene
as necessary) or a neuroglancer layers (nglayers
) extracted from such a scene.- layer
Optional index vector specifying the layers within a scene from which to extract annotations. It is probably safest to use a character vector of layer names (what appears in neuroglancer). When missing all annotation layers are processed.
- types
Which annotation types to process (currently only points and lines by default)
- points
What to do with point coordinates.
Value
A data.frame with columns defined by the contents of the annotation
layer and the types
/points
arguments. Additional annotation
features are stored as attributes on the data.frame.
See also
ngl_annotation_layers
to make new annotation layers
Examples
# \donttest{
u="https://ngl.flywire.ai/?json_url=https://globalv1.flywire-daf.com/nglstate/5963849085747200"
adf=ngl_annotations(u)
str(attr(adf, 'ann_attrs'))
#> List of 1
#> $ lines:List of 9
#> ..$ tool : chr "annotatePoint"
#> ..$ selectedAnnotation :List of 1
#> .. ..$ id: chr "c8e65c47e6677d4dcb2bc2846c26ec4b277756c4"
#> ..$ type : chr "annotation"
#> ..$ annotationTags :List of 3
#> .. ..$ :List of 2
#> .. .. ..$ id : int 1
#> .. .. ..$ label: chr "good"
#> .. ..$ :List of 2
#> .. .. ..$ id : int 2
#> .. .. ..$ label: chr "bad"
#> .. ..$ :List of 2
#> .. .. ..$ id : int 3
#> .. .. ..$ label: chr "ok"
#> ..$ voxelSize : int [1:3] 4 4 40
#> ..$ linkedSegmentationLayer : chr "Production-segmentation_with_graph"
#> ..$ bracketShortcutsShowSegmentation : logi FALSE
#> ..$ annotationSelectionShowsSegmentation: logi FALSE
#> ..$ name : chr "lines"
# }