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Import annotations from a PNG class folder into the SQLite database

Source: R/database.R
import_png_folder_to_db.Rd

Scans a folder of PNG images organized in class-name subfolders (via scan_png_class_folder) and imports the annotations into the database. An optional class_mapping named vector remaps class names before saving.

Usage

import_png_folder_to_db(
  png_folder,
  db_path,
  class2use,
  class_mapping = NULL,
  annotator = "imported"
)

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)

class_mapping

Optional named character vector mapping scanned class names to target class names. Names are the source classes, values are the target classes. Classes not in the mapping are kept as-is.

annotator

Annotator name (defaults to "imported")

Value

Named list with counts: success, failed

Examples

if (FALSE) { # \dontrun{
db_path <- get_db_path("/data/manual")
class2use <- c("Diatom", "Dinoflagellate", "Ciliate")
result <- import_png_folder_to_db(
  "/data/png_export", db_path, class2use,
  class_mapping = c("OldName" = "NewName"),
  annotator = "Jane"
)
cat(result$success, "imported,", result$failed, "failed\n")
} # }