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import pyvips
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import glob
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import random
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import os
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import math
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import numpy as np
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def bg_fill(width: int, height: int, channels: int = 3, fill: int = 255):
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a = np.ones(shape=(height, width, channels)) * fill
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return pyvips.Image.new_from_array(a)
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def create_grid_composite(
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directory, k, spacing_inches, output_file="output.png", dpi=300
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):
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# Calculate spacing in pixels
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spacing_pixels = int(spacing_inches * dpi)
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# Glob for PNG images
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png_files = glob.glob(os.path.join(directory, "*.png"))
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# Randomly select K^2 images
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selected_files = random.sample(png_files, k * k)
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# Create an empty list to hold the images
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images = [
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pyvips.Image.new_from_file(file, access="sequential") for file in selected_files
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]
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# Calculate the size of the composite image
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# widths, heights = zip(*[image.size for image in images])
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widths, heights = [1800], [1800]
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max_width = max(widths)
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max_height = max(heights)
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# Calculate total size of the grid including spacing
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total_width = k * max_width + (k + 1) * spacing_pixels
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total_height = k * max_height + (k + 1) * spacing_pixels
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# Create a blank image for the composite
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# composite = pyvips.Image.black(total_width, total_height, bands=4)
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composite = bg_fill(total_width, total_height, channels=1, fill=255)
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# Place images into the composite
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for i, image in enumerate(images):
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row = i // k
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col = i % k
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x = col * (max_width + spacing_pixels) + spacing_pixels
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y = row * (max_height + spacing_pixels) + spacing_pixels
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composite = composite.insert(image.flatten(background=[255, 255, 255]), x, y)
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# Save the composite image
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composite.write_to_file(output_file)
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x = pyvips.Image.thumbnail(output_file, 1080 * 4)
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x.write_to_file("out_sm.png")
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print(output_file)
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if __name__ == "__main__":
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# Example usage
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directory = "/teamspace/studios/this_studio/out_sortcolors/umap/" # Change to your directory path
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k = 10
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spacing_inches = 1.5
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create_grid_composite(directory, k, spacing_inches)
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