sklearn.feature_extraction.image.reconstruct_from_patches_2d()
sklearn.feature_extraction.image.reconstruct_from_patches_2d
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sklearn.feature_extraction.image.reconstruct_from_patches_2d(patches, image_size)[source] -
Reconstruct the image from all of its patches.
Patches are assumed to overlap and the image is constructed by filling in the patches from left to right, top to bottom, averaging the overlapping regions.
Read more in the User Guide.
Parameters: patches : array, shape = (n_patches, patch_height, patch_width) or
(n_patches, patch_height, patch_width, n_channels) The complete set of patches. If the patches contain colour information, channels are indexed along the last dimension: RGB patches would have
n_channels=3.image_size : tuple of ints (image_height, image_width) or
(image_height, image_width, n_channels) the size of the image that will be reconstructed
Returns: image : array, shape = image_size
the reconstructed image
Examples using sklearn.feature_extraction.image.reconstruct_from_patches_2d
© 2007–2016 The scikit-learn developers
Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.reconstruct_from_patches_2d.html
