How can I visualise an image in h5 format data?

Question

import h5py
f = h5py.File('the_file.h5', 'r')
one_data = f['key']
print(one_data.shape)
print(one_data.dtype)
print(one_data)

I use the code above to print the info. The print result is:

(320, 320, 3)
uint8
<HDF5 dataset "1458552843.750": shape (320, 320, 3), type "|u1">

Answer 1

import cv2
import numpy as np
import h5py
f = h5py.File('the_file.h5', 'r')
dset = f['key']
data = np.array(dset[:,:,:])
file = 'test.jpg'
cv2.imwrite(file, data)

Answer 2

The solution provided by jet works just fine, but has the drawback of needing to include OpenCV (cv2). In case you are not using OpenCV for anything else, it is a bit overkill to install/include it just for saving the file. Alternatively you can use imageio.imwrite ( doc ) which has lighter footprint, eg:

import imageio
import numpy as np
import h5py

f = h5py.File('the_file.h5', 'r')
dset = f['key']
data = np.array(dset[:,:,:])
file = 'test.png' # or .jpg
imageio.imwrite(file, data)

Installing imageio is as simple as pip install imageio .

Also, matplotlib.image.imsave ( doc ) provides similar image saving functionality.

Answer 3

It can be even simpler:

pip install Pillow h5py

Then

import h5py
from PIL import Image

f = h5py.File('the_file.h5', 'r')
dset = f['key'][:]
img = Image.fromarray(dset.astype("uint8"), "RGB")
img.save("test.png")