Load annotations from the SQLite database — load_annotations_db • ClassiPyR

Reads annotations for a single sample and returns a data frame in the same format as load_from_mat.

Usage

load_annotations_db(db_path, sample_name, roi_dimensions)

Arguments

db_path: Path to the SQLite database file
sample_name: Sample name
roi_dimensions: Data frame from read_roi_dimensions with columns roi_number, width, height, area

Value

Data frame with columns: file_name, class_name, score, width, height, roi_area. Returns NULL if the sample has no annotations.

Examples

if (FALSE) { # \dontrun{
dims <- read_roi_dimensions("/data/raw/2023/D20230101/D20230101T120000_IFCB134.adc")
db_path <- get_db_path("/data/manual")
classifications <- load_annotations_db(db_path, "D20230101T120000_IFCB134", dims)
} # }