Store Results in HDF5#
Save processed images and their intermediate states to HDF5 for efficient storage and retrieval.
Save a Processed Image#
import phenotypic as pht
image = pht.Image.imread("plate.png")
# ... process image ...
image.save2hdf5("processed_plate.h5")
Save Pipeline Intermediates#
Capture the image state after each pipeline operation:
pipeline = pht.ImagePipeline(ops=[...])
result = pipeline.apply_with_intermediates(
image,
output_dir="intermediates/"
)
Each intermediate is saved as a separate HDF5 file in output_dir/,
named after the operation that produced it.
Why HDF5#
Compact: Compressed binary format, much smaller than TIFF/PNG for processed images
Fast I/O: Random access to any data component without loading the entire file
Self-describing: Metadata, image arrays, masks, and object maps stored together in one file