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# NumpyMosaic
Create a mosaic of a list of numpy arrays, essentially a 2D concatenation, with an optional border inbetween images. It can take images of different sizes and centers them in their individual fields.

The package consists of a single function, 'create_mosaic(...)', which takes the following arguments:
* images: An iterable of 2D or 3D numpy arrays. If they're 3D then they must have the shape (spatial, spatial, channels).
* nrows (default: None): The number of rows of the mosaic.
* ncols (default: None): The number of columns of the mosaic.
* border_val (default: 0): The value of the background and border
* border_size (default: 5): The size of the border between images
* rows_first (default: True): A boolean indicating if the mosaic should be populated by rows (True) or columns (False) first

An example is provided below (this code is also available in the file

import numpy as np
import ImageMosaic
import matplotlib.pyplot as plt

def test_create_2d_mosaic():
images = [
50 * np.ones((45, 45)),
100 * np.ones((30, 60)),
150 * np.ones((50, 20)),
200 * np.ones((40, 30)),
250 * np.ones((10, 10)),

return ImageMosaic.create_mosaic(images=images)

def test_create_3d_mosaic():
images = [
50 * np.ones((45, 45, 3), dtype=np.uint8),
100 * np.ones((30, 60, 3), dtype=np.uint8),
150 * np.ones((50, 20, 3), dtype=np.uint8),
200 * np.ones((40, 30, 3), dtype=np.uint8),
250 * np.ones((10, 10, 3), dtype=np.uint8),

return ImageMosaic.create_mosaic(images=images, rows_first=False)

mosaic2d = test_create_2d_mosaic()
mosaic3d = test_create_3d_mosaic()

plt.subplot(1, 2, 1)
plt.subplot(1, 2, 2)

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Files for ImageMosaic, version 1.0
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