Created
December 20, 2022 14:36
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Puzzle Poster
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from PIL import Image | |
import numpy as np | |
from pathlib import Path | |
from rich.progress import track | |
from scipy.spatial import KDTree | |
folder = Path('avatar') | |
def calc_all_colors(): | |
res = [] | |
for file in track(list(folder.glob('*.png'))): | |
img = Image.open(file) | |
mat = np.asarray(img) | |
color = np.mean(mat, (0, 1)) | |
res.append((file.name, color)) | |
np.save('data.npy', np.array(res, dtype=object)) | |
def main(): | |
colors = np.load('data.npy', allow_pickle=True) | |
files = colors[:, 0] | |
rgbs = np.array([c[1] for c in colors]) | |
tree = KDTree(rgbs) | |
target = Image.open('avatar_poster.jpg') | |
piece_width = 100 | |
resize_width = 100 | |
resize_height = int(target.height * resize_width / target.width) | |
target = target.resize((resize_width, resize_height)) | |
mat = np.asarray(target) | |
canvas = Image.new( | |
'RGB', (resize_width * piece_width, resize_height * piece_width)) | |
for i in track(range(resize_height), total=resize_height): | |
for j in range(resize_width): | |
color = mat[i, j].astype(np.float32) | |
dist, idx = tree.query(color, k=8) | |
ind = np.random.choice(idx) | |
dist = dist[idx.tolist().index(ind)] | |
imgfile = folder / files[ind] | |
img = Image.open(imgfile) | |
img = img.resize((piece_width, piece_width)) | |
if dist > 30: | |
offset = color - rgbs[ind] | |
m = np.asarray(img, dtype=np.float32) | |
m += offset | |
m.clip(0, 255, out=m) | |
img = Image.fromarray(m.astype(np.uint8)) | |
canvas.paste(img, (j * piece_width, i * piece_width)) | |
canvas.save('output.png') | |
if __name__ == '__main__': | |
main() |
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