Load classifications from HDF5 classifier output file — load_from_h5 • ClassiPyR

Reads an HDF5 classifier output file (from iRfcb 0.8.0+) and extracts class predictions. Requires the hdf5r package.

Usage

load_from_h5(h5_path, sample_name, roi_dimensions, use_threshold = TRUE)

Arguments

h5_path: Path to classifier H5 file (matching pattern *_class*.h5)
sample_name: Sample name (e.g., "D20220522T000439_IFCB134")
roi_dimensions: Data frame from read_roi_dimensions
use_threshold: Logical, whether to use the threshold-filtered class_name dataset (default TRUE) or the raw class_name_auto dataset.

Value

Data frame with columns: file_name, class_name, score, width, height, roi_area

Examples

if (FALSE) { # \dontrun{
dims <- read_roi_dimensions("/data/raw/2022/D20220522/D20220522T000439_IFCB134.adc")
classifications <- load_from_h5(
  h5_path = "/data/classified/D20220522T000439_IFCB134_class.h5",
  sample_name = "D20220522T000439_IFCB134",
  roi_dimensions = dims,
  use_threshold = TRUE
)
head(classifications)
} # }