H5py文件

import h5py
import numpy as np
h = h5py.File(‘capsule_box.h5‘, ‘w‘)
#print(h[‘user1img1‘][:])
dt = h5py.special_dtype(vlen=str)
with open(‘train-2000-capsul‘) as f:
    for lin in f:
        lines = lin.split()
        convert = lines[3:]
        a = np.array(convert)
        print(a)
        ds = h.create_dataset(‘user‘+str(lines[0])+‘img‘+str(lines[1]), a.shape, dtype=dt)
        ds[:] = a
h.close()

import h5py
import numpy as np
f = h5py.File(‘C:\\Users\\My\\Desktop\\h5\\data_box.h5‘, ‘w‘)
 
with open(‘H:\\datasets_object\\box-encode-allData.trainingPair‘) as fr:
    for lin in fr:
        lines = lin.split()
        convert = lines[3:]
        converts = ‘ ‘.join(convert)
        x = np.fromstring(converts, dtype=np.uint8).astype(‘float64‘)
        # 写进h5
        name = ‘user‘+lines[0]+‘img‘+lines[1]
        print(name)
        f.create_dataset(name, data=x)
f.close()