def imread(fname, as_grey=False, plugin=None, flatten=None,
**plugin_args):
"""Load an image from file.
Parameters
----------
fname : string
Image file name, e.g. ``test.jpg``.
as_grey : bool
If True, convert color images to grey-scale (32-bit floats).
Images that are already in grey-scale format are not converted.
plugin : str
Name of plugin to use (Python Imaging Library by default).
Other Parameters
----------------
flatten : bool
Backward compatible keyword, superseded by `as_grey`.
Returns
-------
img_array : ndarray
The different colour bands/channels are stored in the
third dimension, such that a grey-image is MxN, an
RGB-image MxNx3 and an RGBA-image MxNx4.
Other parameters
----------------
plugin_args : keywords
Passed to the given plugin.
"""
# Backward compatibility
if flatten is not None:
as_grey = flatten
img = call_plugin('imread', fname, plugin=plugin, **plugin_args)
if as_grey and getattr(img, 'ndim', 0) >= 3:
img = rgb2grey(img)
return img
def imread(fname, as_grey=False, plugin=None, flatten=None, **plugin_args):
"""Load an image from file.
Parameters
----------
fname : string
Image file name, e.g. ``test.jpg``.
as_grey : bool
If True, convert color images to grey-scale (32-bit floats).
Images that are already in grey-scale format are not converted.
plugin : str
Name of plugin to use (Python Imaging Library by default).
Other Parameters
----------------
flatten : bool
Backward compatible keyword, superseded by `as_grey`.
Returns
-------
img_array : ndarray
The different colour bands/channels are stored in the
third dimension, such that a grey-image is MxN, an
RGB-image MxNx3 and an RGBA-image MxNx4.
Other parameters
----------------
plugin_args : keywords
Passed to the given plugin.
"""
# Backward compatibility
if flatten is not None:
as_grey = flatten
img = call_plugin('imread', fname, plugin=plugin, **plugin_args)
if as_grey and getattr(img, 'ndim', 0) >= 3:
img = rgb2grey(img)
return img
def test_rgb2grey(self):
x = np.array([1, 1, 1]).reshape((1, 1, 3))
g = rgb2grey(x)
assert_array_almost_equal(g, 1)
assert_equal(g.shape, (1, 1))
def test_rgb2grey(self):
x = np.array([1, 1, 1]).reshape((1, 1, 3))
g = rgb2grey(x)
assert_array_almost_equal(g, 1)
assert_equal(g.shape, (1, 1))
