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Commit 961af72b authored by Amir MOHAMMADI's avatar Amir MOHAMMADI
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Allow conversion of batched images and videos to matplotlib and back

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1 merge request!44Allow conversion of batched images and videos to matplotlib and back
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......@@ -2,55 +2,110 @@ import numpy as np
def to_matplotlib(img):
'''Returns a view of the image compatible with matplotlib.
"""Returns a view of the image from Bob format to matplotlib format.
This function works with images, batches of images, videos, and higher
dimensional arrays that contain images.
Parameters
----------
img : numpy.ndarray
A 2 or 3 dimensional array containing an image in bob style: For a 2D
array (grayscale image) should be ``(y, x)``; For a 3D array (color
image) should be ``(n, y, x)``.
A N dimensional array containing an image in Bob format (channels
first): For an ND array (N >= 3), the image should have the following
format: ``(..., c, h, w)``.
Returns
-------
numpy.ndarray
A view of the ``img`` compatible with
:py:func:`matplotlib.pyplot.imshow`.
'''
if img.ndim == 3:
img = np.moveaxis(img, 0, -1)
return img
"""
if img.ndim < 3:
return img
return np.moveaxis(img, -3, -1)
def to_bob(img):
'''Returns a view of the image compatible with Bob.
"""Returns a view of the image from matplotlib format to Bob format.
This function works with images, batches of images, videos, and higher
dimensional arrays that contain images.
Parameters
----------
img : numpy.ndarray
A 2 or 3 dimensional array containing an image in matplotlib style: For
a 2D array (grayscale image) should be ``(y, x)``; For a 3D array
(color image) should be ``(y, x, n)``.
An image in matplotlib format (channels last): For an ND array (N >= 3),
the image should have the following format: ``(..., h, w, c)``.
Returns
-------
numpy.ndarray
A view of the ``img`` compatible with Bob ``(n, y, x)`` for 3D images.
'''
if img.ndim == 3:
img = np.moveaxis(img, -1, 0)
return img
A view of the ``img`` compatible with Bob.
"""
if img.ndim < 3:
return img
return np.moveaxis(img, -1, -3)
def opencvbgr_to_bob(img):
"""Returns a view of the image from OpenCV BGR format to Bob RGB format.
This function works with images, batches of images, videos, and higher
dimensional arrays that contain images.
Parameters
----------
img : numpy.ndarray
An image loaded by OpenCV. It needs to have at least 3 dimensions.
Returns
-------
numpy.ndarray
A view of the ``img`` compatible with Bob.
Raises
------
ValueError
If the image dimension is less than 3.
"""
if img.ndim < 3:
raise ValueError("You need to provide at least a 3 dimensional image")
img = img[..., ::-1]
return to_bob(img)
def bob_to_opencvbgr(img):
"""Returns a view of the image from Bob format to OpenCV BGR format.
This function works with images, batches of images, videos, and higher
dimensional arrays that contain images.
Parameters
----------
img : numpy.ndarray
An image loaded by Bob. It needs to have at least 3 dimensions.
Returns
-------
numpy.ndarray
A view of the ``img`` compatible with OpenCV.
Raises
------
ValueError
If the image dimension is less than 3.
"""
if img.ndim < 3:
raise ValueError("You need to provide at least a 3 dimensional image")
img = img[..., ::-1, :, :]
return to_matplotlib(img)
def imshow(img, cmap=None, **kwargs):
'''Plots the images that are returned by :py:func:`bob.io.base.load`
"""Plots the images that are returned by :py:func:`bob.io.base.load`
Parameters
----------
img : numpy.ndarray
A 2 or 3 dimensional array containing an image in
bob style: For a 2D array (grayscale image) should be ``(y, x)``;
A 3D array (color image) should be in the ``(n, y, x)`` format.
bob style: For a 2D array (grayscale image) should be ``(h, w)``;
A 3D array (color image) should be in the ``(c, h, w)`` format.
cmap : matplotlib.colors.Colormap
Colormap, optional, default: ``None``.
If ``cmap`` is ``None`` and ``img.ndim`` is 2, defaults to 'gray'.
......@@ -62,10 +117,10 @@ def imshow(img, cmap=None, **kwargs):
-------
object
Returns whatever ``plt.imshow`` returns.
'''
"""
import matplotlib.pyplot as plt
if cmap is None and img.ndim == 2:
cmap = 'gray'
cmap = "gray"
return plt.imshow(to_matplotlib(img), cmap=cmap, **kwargs)
......@@ -83,6 +83,10 @@ Or you can just get a view (not copy) of your image that is
>>> assert img_view_for_matplotlib.base is img
You can also get the original image back using :py:func:`bob.io.image.to_bob`.
This function works with images, batches of images, videos, and higher
dimensional arrays that contain images.
Moreover, see :any:`bob.io.image.opencvbgr_to_bob` and
:any:`bob.io.image.bob_to_opencvbgr`.
.. testcleanup:: *
......
2.4.7b0
\ No newline at end of file
2.5.0b0
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