8000 DOC Add a docstring example for sklearn.feature_extraction.image.reconstruct_from_patches_2d by lamdang2k · Pull Request #28538 · scikit-learn/scikit-learn · GitHub
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DOC Add a docstring example for sklearn.feature_extraction.image.reconstruct_from_patches_2d #28538

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Merged
merged 8 commits into from
Feb 29, 2024
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DOC Add a docstring example for sklearn.feature_extraction.image.reconstruct_from_patches_2d #28538

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6482397
Correct PCA documentation about sparse input
lamdang2k Feb 13, 2024
22f9cd0
Merge two paragraphs
lamdang2k Feb 15, 2024
b3deb8e
Merge branch 'main' into main
lamdang2k Feb 15, 2024
a5ddb35
Remove trailing space
lamdang2k Feb 15, 2024
5a5dcd2
Merge branch 'main' of https://github.com/lamdang2k/scikit-learn
lamdang2k Feb 15, 2024
b87380d
remove redundant sentence
glemaitre Feb 19, 2024
7cd1fc6
Merge branch 'scikit-learn:main' into main
lamdang2k Feb 19, 2024
7dfe358
Add example to reconstruct_image
lamdang2k Feb 26, 2024
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17 changes: 17 additions & 0 deletions sklearn/feature_extraction/image.py
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Expand Up @@ -493,6 +493,23 @@ def reconstruct_from_patches_2d(patches, image_size):
-------
image : ndarray of shape image_size
The reconstructed image.

Examples
--------
>>> from sklearn.datasets import load_sample_image
>>> from sklearn.feature_extraction import image
>>> one_image = load_sample_image("china.jpg")
>>> print('Image shape: {}'.format(one_image.shape))
Image shape: (427, 640, 3)
>>> image_patches = image.extract_patches_2d(image=one_image, patch_size=(10, 10))
>>> print('Patches shape: {}'.format(image_patches.shape))
Patches shape: (263758, 10, 10, 3)
>>> image_reconstructed = image.reconstruct_from_patches_2d(
... patches=image_patches,
... image_size=one_image.shape
... )
>>> print(f"Reconstructed shape: {image_reconstructed.shape}")
Reconstructed shape: (427, 640, 3)
"""
i_h, i_w = image_size[:2]
p_h, p_w = patches.shape[1:3]
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