Painter genetic algorithm.
- Python 3.8.6+
- Anaconda 4.9.2+ (optional)
- Python modules from the
requirements.txt
To run the genetic algorithm, use the command:
$ python .
The generated images can be fund in the paintings directory.
To finetune the algorithm you can modify the parameters in the __main__.py file.
This project is open for any kind of contribution from anyone.
- Fork this repository
- Create a new branch (optional)
- Clone it
- Make your changes
- Upload them
- Make a pull request here
These test were taken with these parameters:
POP_SIZE = 100 # Number of starting images
PERSON_SIZE = (32, 32,) # Size of imagesThe EPOCH parameter varies row by row.
| No. of evolution steps | Best (brightest) painting | Worst (darkest) painting | Time to finish |
|---|---|---|---|
| 16 | |
|
00:03 |
| 32 | |
|
00:06 |
| 64 | |
|
00:12 |
| 128 | |
|
00:24 |
| 256 | |
|
00:48 |
| 512 | |
|
01:37 |
| 1024 | |
|
03:18 |
On average 5.25 it/s.
Their improval with each step:
Copyright © 2022 Martin Kondor.
See the LICENSE file for details.