This is a small project to create some artificial images. Starting from a high resolution image, an approximation using triangles is estimated. This is similar to primitive, however this script creates SVG images and uses a different approach.
./genimg.py --help should produce the following help:
usage: genimg.py [-h] [--cpu_count CPU_COUNT] [--num_shapes NUM_SHAPES]
[--output_file OUTPUT_FILE]
image
image generator
positional arguments:
image image to process
optional arguments:
-h, --help show this help message and exit
--cpu_count CPU_COUNT
thread/cpu count (default: 8)
--num_shapes NUM_SHAPES
number of used shapes (default: 20000)
--output_file OUTPUT_FILE
generated resulting image (default: image.svg)
stg7 2019
You can just use one of the provided example images and run the following command:
./genimg.py example_images/rome.jpgIt will use the following image
to create a generated SVG depending on the number of iterations, similar to this:
after 664 iterations.
See LICENCE.md
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