Mosaic Generator
This script is a simple mosaic generator. It uses a random greedy algorithm to pack as many images as possible into a canvas for a given size.
Dependencies:
The following python packages are needed:
- argparse
- PIL
- numpy
- json
Inputs:
The main input to the script is a directory of png images. Ideally, each
image should have transparent background to achieve tighter packing.
Usage:
Assuming all input images are in image_directory and we would like to pack
them into a 2000px by 1800px canvas:
./generate_mosaic.py -W 2000 -H 1800 image_directory output.png
where -W and -H option specifies the output canvas width and height, ideally
the canvas should at least be 4x larger than a typical image in the
image_directory. The scale of each image is chosen at random. However, the
script does take a list of preferred image names from the user. The preferred
images will be packed first and are more likely to be larger than the rest of
the images.
Examples:
The following examples are generated with this script:
Tetrahedral Meshing in the Wild (Siggraph 2018):
Decoupling Simulation Accuracy from Mesh Quality (Siggragh Asia 2018)
Poly-Spline Finite Element Method (ToG 2019)
LayerCode: Optical Barcodes for 3D Printed Shapes (Siggraph 2019)
Computer Graphics Forum (Volume 37 Issue 1) Cover image
If you have used Mosaic to generate a figure, please let me know and I can include your example here.
Author:
Qingnan Zhou
Adobe Systems