Save annotations to SQLite — save_annotations

Saves per-ROI classifications and the sample class list to the SQLite database.

Usage

save_annotations_db(
  db_path,
  sample_name,
  classifications,
  class2use,
  annotator = "Unknown",
  is_manual = NULL
)

Arguments

db_path: Path to the SQLite database file
sample_name: Sample name (e.g., "D20230101T120000_IFCB134")
classifications: Data frame with at least file_name and class_name columns
class2use: Character vector of class names (preserves index order for .mat export)
annotator: Annotator name
is_manual: Integer vector of 0/1 flags indicating whether each ROI was manually reviewed (1) or not yet reviewed (0, corresponding to NaN in .mat files). If NULL (the default), all ROIs are treated as reviewed.

Value

TRUE on success, FALSE on failure

Examples

if (FALSE) { # \dontrun{
db_path <- get_db_path("/data/manual")
save_annotations_db(db_path, "D20230101T120000_IFCB134",
                    classifications, class2use, "Jane")
} # }