Import a PNG class folder and backfill the rest as "unclassified"
Source:R/database.R
import_png_folder_with_unclassified.RdConvenience wrapper that runs import_png_folder_to_db followed
by fill_unclassified_db in a single call. After importing the
selected-taxa PNGs, it backfills the remaining ROIs of only the samples
that were just imported as "unclassified", so each imported sample is
fully represented in the database without touching samples from earlier
import sessions.
Usage
import_png_folder_with_unclassified(
png_folder,
db_path,
class2use,
roi_folder,
class_mapping = NULL,
annotator = "imported",
fill = TRUE
)Arguments
- png_folder
Path to the top-level folder containing class subfolders
- db_path
Path to the SQLite database file
- class2use
Character vector of class names (preserves index order for .mat export)
- roi_folder
Base ROI folder path, following the standard IFCB folder structure (
roi_folder/YYYY/DYYYYMMDD/sample_name.adc). Used by the backfill step to read each sample's complete ROI list.- class_mapping
Optional named character vector mapping scanned class names to target class names. Passed to
import_png_folder_to_db.- annotator
Annotator name (defaults to
"imported"). Applied to both the import and the backfill.- fill
Logical. When
TRUE(the default), backfill the imported samples with"unclassified"ROIs. Set toFALSEto import only.
Value
Named list with two elements: import (the result of
import_png_folder_to_db) and filled (the result of
fill_unclassified_db, or zero counts when fill is
FALSE or no samples were imported).
Examples
if (FALSE) { # \dontrun{
db_path <- get_db_path("/data/manual")
class2use <- c("Diatom", "Dinoflagellate", "Ciliate")
result <- import_png_folder_with_unclassified(
"/data/png_export", db_path, class2use,
roi_folder = "/data/ifcb/raw"
)
cat(result$import$success, "imported,",
result$filled$added, "backfilled\n")
} # }