Reshape a 4D array into a image grid

Image_grid.py

"""
Given a 4D array of shape (n, h, w, c) representing n images of shape (h, w, c),
make a single image consisting of a regular grid of smaller images.

License: MIT No attribution
"""
import numpy as np

def reshape(arr, rows, cols, pixels=False):
    """Reshapes a 4D array into a grid of images.
    
    See: https://stackoverflow.com/questions/58290692
    
    Args:
        arr (ndarray): The input data, shape (n, h, w, c) where n is the number
            of examples, (h, w) is the shape of each image, and c is the number
            of channels (usually 1, 3 or 4).
        rows (int): The desired number of images or pixels in one column of the output.
        cols (int): The desired number of images or pixels in one row of the output.
        
    Returns:
        ndarray.
        
    Example:
        >>> import numpy as np
        >>> data = np.random.random((80, 8, 8, 3))
        >>> data_new = reshape(data, rows=8, cols=10)
        >>> data_new.shape
        (64, 80, 3)
    """ 
    n, h, w, c = arr.shape
    
    if pixels:
        rows, cols = rows // h, cols // w 

    arr_new = (arr.reshape(rows, cols, h, w, c)
                  .swapaxes(1, 2)
                  .reshape(h*rows, w*cols, c))

    return arr_new

LICENSE

    MIT No Attribution

Copyright 2022 Matt Hall, kwinkunks@GitHub

Permission is hereby granted, free of charge, to any person obtaining a copy of this
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