----------
## Table of contents
* [Overview](https://github.com/sepandhaghighi/samila#overview)
* [Installation](https://github.com/sepandhaghighi/samila#installation)
* [Usage](https://github.com/sepandhaghighi/samila#usage)
* [Mathematical Details](https://github.com/sepandhaghighi/samila#mathematical-details)
* [Issues & Bug Reports](https://github.com/sepandhaghighi/samila#issues--bug-reports)
* [Dependencies](https://github.com/sepandhaghighi/samila#dependencies)
* [Contribution](https://github.com/sepandhaghighi/samila/blob/master/.github/CONTRIBUTING.md)
* [References](https://github.com/sepandhaghighi/samila#references)
* [Authors](https://github.com/sepandhaghighi/samila/blob/master/AUTHORS.md)
* [License](https://github.com/sepandhaghighi/samila/blob/master/LICENSE)
* [Show Your Support](https://github.com/sepandhaghighi/samila#show-your-support)
* [Changelog](https://github.com/sepandhaghighi/samila/blob/master/CHANGELOG.md)
* [Code of Conduct](https://github.com/sepandhaghighi/samila/blob/master/.github/CODE_OF_CONDUCT.md)
## 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.
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master |
dev |
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## Installation
### Source code
- Download [Version 0.2](https://github.com/sepandhaghighi/samila/archive/v0.2.zip) or [Latest Source ](https://github.com/sepandhaghighi/samila/archive/dev.zip)
- Run `pip install -r requirements.txt` or `pip3 install -r requirements.txt` (Need root access)
- Run `python3 setup.py install` or `python setup.py install` (Need root access)
### PyPI
- Check [Python Packaging User Guide](https://packaging.python.org/installing/)
- Run `pip install samila==0.2` or `pip3 install samila==0.2` (Need root access)
### Easy install
- Run `easy_install --upgrade samila` (Need root access)
## Usage
### Basic
```pycon
>>> 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
```pycon
>>> 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` and `MOLLWEIDE`
* Default projection is `RECTILINEAR`
### Range
```pycon
>>> g = GenerativeImage(f1,f2)
>>> g.generate(start = -2*math.pi,step=0.1,stop=0)
>>> g.plot()
>>> g.seed
234752
>>> plt.show()
```
### Color
```pycon
>>> 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` and `bgcolor` parameters support color name and RGB/RGBA formats
### Regeneration
```pycon
>>> g = GenerativeImage(f1,f2)
>>> g.generate(seed=1018273)
>>> g.plot(projection=Projection.POLAR)
>>> plt.show()
```
### NFT.storage
Upload generated image directly to [NFT.storage](https://NFT.storage)
```pycon
>>> g.nft_storage(api_key = YOUR_API_KEY)
{'status': True, 'message': 'Everything seems good'}
```
### Save
Save generated image
```pycon
>>> g.save_image(file_adr="test.png")
{'status': True, 'message': 'Everything seems good'}
```
Save generated image in higher resolutions
```pycon
>>> g.save_image(file_adr="test.png", depth=5)
{'status': True, 'message': 'Everything seems good'}
```
### Save data
Save generated data into a file
```pycon
>>> g.save_data(file_adr="test.json")
```
So you can load it into a `GenerativeImage` instance later by
```pycon
>>> 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](https://en.wikipedia.org/wiki/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:
```pycon
>>> 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:
```pycon
>>> 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!
or send an email to [info@4r7.ir](mailto:info@4r7.ir "info@4r7.ir").
* Please complete the issue template
## Dependencies
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dev |
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## References
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.
2- Create Generative Art with R
3- NFT.storage : Free decentralized storage and bandwidth for NFTs
## Show your support
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