.. vim: set fileencoding=utf-8 : .. Andre Anjos .. Fri 16 May 11:48:13 2014 CEST .. testsetup:: * import numpy import bob.io.base import bob.io.image import tempfile import os current_directory = os.path.realpath(os.curdir) temp_dir = tempfile.mkdtemp(prefix='bob_doctest_') os.chdir(temp_dir) ============ User Guide ============ By importing this package, you can use |project| native array reading and writing routines to load and save files using various image formats, using the simple plug-in technology for :py:mod:`bob.io.base`, i.e., :py:func:`bob.io.base.load` and :py:func:`bob.io.base.save`. .. code-block:: python >> import bob.io.base >> import bob.io.image #under the hood: loads Bob plugin for image files >> x = bob.io.base.load('myfile.jpg') In the following example, an image generated randomly using the method `NumPy` :py:func:`numpy.random.random_integers`, is saved in lossless PNG format. The image must be of type ``uint8`` or ``uint16``: .. doctest:: >>> my_image = numpy.random.random_integers(0,255,(3,256,256)) >>> bob.io.base.save(my_image.astype('uint8'), 'testimage.png') # saving the image in png format >>> my_image_copy = bob.io.base.load('testimage.png') >>> assert (my_image_copy == my_image).all() The loaded image files can be 3D arrays (for RGB format) or 2D arrays (for greyscale) of type ``uint8`` or ``uint16``. .. testcleanup:: * import shutil os.chdir(current_directory) shutil.rmtree(temp_dir)