GitHub - sepandhaghighi/samila: Generative Art Generator
source link: https://github.com/sepandhaghighi/samila
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Table of contents
Overview
Samila is a generative art generator written in Python, Samila let's you create arts based on many thousand points. The position of every single point is calculated by a formula, which has random parameters. Because of the random numbers, every image looks different.
Open Hub PyPI Counter Github Stars Branch master dev CI Code QualityInstallation
Source code
- Download Version 0.3 or Latest Source
- Run
pip install -r requirements.txt
orpip3 install -r requirements.txt
(Need root access) - Run
python3 setup.py install
orpython setup.py install
(Need root access)
- Check Python Packaging User Guide
- Run
pip install samila==0.3
orpip3 install samila==0.3
(Need root access)
Easy install
- Run
easy_install --upgrade samila
(Need root access)
Usage
Basic
>>> import random >>> import math >>> import matplotlib.pyplot as plt >>> from samila import GenerativeImage >>> def f1(x,y): result = random.uniform(-1,1) * x**2 - math.sin(y**2) + abs(y-x) return result >>> def f2(x,y): result = random.uniform(-1,1) * y**3 - math.cos(x**2) + 2*x return result >>> g = GenerativeImage(f1,f2) >>> g.generate() >>> g.plot() >>> g.seed 188781 >>> plt.show()
Projection
>>> from samila import Projection >>> g = GenerativeImage(f1,f2) >>> g.generate() >>> g.plot(projection=Projection.POLAR) >>> g.seed 829730 >>> plt.show()
- Supported projections :
RECTILINEAR
,POLAR
,AITOFF
,HAMMER
,LAMBERT
andMOLLWEIDE
- Default projection is
RECTILINEAR
Range
>>> g = GenerativeImage(f1,f2) >>> g.generate(start = -2*math.pi,step=0.1,stop=0) >>> g.plot() >>> g.seed 234752 >>> plt.show()
Color
>>> g = GenerativeImage(f1,f2) >>> g.generate() >>> g.plot(color="yellow",bgcolor="black",projection=Projection.POLAR) >>> g.seed 1018273 >>> plt.show()
- Supported colors are available in
VALID_COLORS
list color
andbgcolor
parameters support color name and RGB/RGBA formats
Regeneration
>>> g = GenerativeImage(f1,f2) >>> g.generate(seed=1018273) >>> g.plot(projection=Projection.POLAR) >>> plt.show()
NFT.storage
Upload generated image directly to NFT.storage
>>> g.nft_storage(api_key = YOUR_API_KEY) {'status': True, 'message': 'Everything seems good'}
Save image
Save generated image
>>> g.save_image(file_adr="test.png") {'status': True, 'message': 'Everything seems good'}
Save generated image in higher resolutions
>>> g.save_image(file_adr="test.png", depth=5) {'status': True, 'message': 'Everything seems good'}
Save data
Save generated image data
>>> g.save_data(file_adr="test.json")
So you can load it into a GenerativeImage
instance later by
>>> g = GenerativeImage(data=open('test.json', 'r'))
Mathematical details
Samila is simply a transformation between a square-shaped space from the Cartesian coordinate system to any arbitrary coordination like Polar coordinate system.
Example
We have set of points in the first space (left square) which can be define as follow:
And bellow functions are used for transformation:
>>> def f1(x,y): result = random.uniform(-1,1) * x**2 - math.sin(y**2) + abs(y-x) return result >>> def f2(x,y): result = random.uniform(-1,1) * y**3 - math.cos(x**2) + 2*x return result
here we uses Projection.POLAR
so later space will be the polar space and we have:
>>> g = GenerativeImage(f1,f2) >>> g.generate(seed=10) >>> g.plot(projection=Projection.POLAR)
Issues & bug reports
Just fill an issue and describe it. We'll check it ASAP!
- Please complete the issue template
You can also join our discord server
Dependencies
master devReferences
1- Schönlieb, Carola-Bibiane, and Franz Schubert. "Random simulations for generative art construction–some examples." Journal of Mathematics and the Arts 7.1 (2013): 29-39.
3- NFT.storage : Free decentralized storage and bandwidth for NFTs
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