A simple Go module for reading a single array of 64 bit floating point numbers from a HDF5 formatted file.

read_hdf5_array.go

package main

import (
	"gonum.org/v1/hdf5"
)


// load a scalar-valued variable of type int from an attribute of the given name on the given dataset.
func getIntScalarAttr(dataset *hdf5.Dataset, attrName string) int {
	var value int

	attr, err := dataset.OpenAttribute(attrName)
	if err != nil {
		panic(err)
	}

	attr.Read(&value, hdf5.T_NATIVE_UINT32)
	return value
}


// load the image data from the indicated HDF5 file.
func getImageDataset(fileName string) *hdf5.Dataset {
	file, err := hdf5.OpenFile(fileName, hdf5.F_ACC_RDONLY)
	if err != nil {
		panic(err)
	}

	dataset, err := file.OpenDataset("data")
	if err != nil {
		panic(err)
	}

	return dataset
}


func main(){
	// load dataset & dataset attributes
	dataset := getImageDataset("image.h5")
	height := getIntScalarAttr(dataset, "height")
	width := getIntScalarAttr(dataset, "width")

	// create image data slice using height/width attributes
	image := make([]float64, height*width)
	dataset.Read(&image)

	// reshape and process here
}