How to build dataset about jule.torch HOT 5 OPEN

import sys, h5py
import cv2, glob
from multiprocessing import Pool
import numpy as np

hf = h5py.File('data4torch.h5', "w")
train_paths = glob.glob('data/class/*.jpeg')

def process_image(impath):
    im = cv2.imread(impath)
    im = cv2.resize(im, (55,55))
    im = im.transpose()
    return im

# Class dictionary
label_dict = {'A': 1, 'B': 2, 'C': 3, 'D': 4, 'E': 5, 'F': 6}
def get_labels(impath):
    label = impath.split('/')[2]
    return label_dict[label]

p = Pool(4) # set this to number of cores you have
data = np.array(p.map(process_image, train_paths))
labels = np.array(p.map(get_labels, train_paths))

hf.create_dataset('data', data=data)
hf.create_dataset('labels', data=labels)
hf.close()

void CreateHDF5(fs::path dataSetPath)
{

    vector<fs::path> imagesPath;
    getfiles(dataSetPath,".bmp",imagesPath);
    //copy all files to new folder
    fs::path dsPath=curr/"HDF5/dataset";
    fs::path hd5file=curr/"HDF5/Dataset.h5";

   const H5std_string	FILE_NAME(hd5file.string().c_str());
//    const H5std_string	DATASET_NAME(dsPath.string().c_str());
     const H5std_string	DATASET_NAME("dset");
    int dsize=4;
    hsize_t dims[dsize];               // dataset dimensions
    const int	 RANK = 2;


    fs::create_directories (dsPath);
    ProgressBar progressbar1(imagesPath.size(),"Copy Dataset          ");
    for (int i=0;i<imagesPath.size();i++)
    {
        boost::filesystem::copy_file(imagesPath[i] ,dsPath/imagesPath[i].filename(),fs::copy_option::overwrite_if_exists);
        progressbar1.Progressed(i);
    }
    progressbar1.Progressed(imagesPath.size());
    cerr<<endl;


    // Create a new file using the default property lists.
    H5File dsfile(FILE_NAME, H5F_ACC_TRUNC);

    dims[0] = imagesPath.size();
    dims[1] =getimage(imagesPath[0].string().c_str()).channels() ;
    dims[2] = getimage(imagesPath[0].string().c_str()).rows;
    dims[3] = getimage(imagesPath[0].string().c_str()).cols;
    DataSpace dataspace(RANK, dims);
    // Create the dataset.
    DataSet dataset = dsfile.createDataSet(DATASET_NAME, PredType::STD_I32BE, dataspace);

}