Samila

Overview

Samila is a generative art generator written in Python, Samila lets you create images 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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Installation

PyPI

• Check Python Packaging User Guide
• Run pip install samila==1.1

Source code

• Download Version 1.1 or Latest Source
• Run pip install .

Conda

• Check Conda Managing Package
• conda install -c sepandhaghighi samila

Usage

Magic

>>> import matplotlib.pyplot as plt
>>> from samila import GenerativeImage
>>> g = GenerativeImage()
>>> g.generate()
>>> g.plot()
>>> plt.show()

• You can change function generation seed by func_seed parameter in GenerativeImage

Basic

>>> import random
>>> import math
>>> 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, MOLLWEIDE and RANDOM
• Default projection is RECTILINEAR

Marker

>>> from samila import Marker
>>> g = GenerativeImage(f1, f2)
>>> g.generate()
>>> g.plot(marker=Marker.CIRCLE, spot_size=10)
>>> g.seed
448742
>>> plt.show()

• Supported markers : POINT, PIXEL, CIRCLE, TRIANGLE_DOWN, TRIANGLE_UP, TRIANGLE_LEFT, TRIANGLE_RIGHT, TRI_DOWN, TRI_UP, TRI_LEFT, TRI_RIGHT, OCTAGON, SQUARE, PENTAGON, PLUS, PLUS_FILLED, STAR, HEXAGON_VERTICAL, HEXAGON_HORIZONTAL, X, X_FILLED, DIAMOND, DIAMON_THIN, VLINE, HLINE and RANDOM
• Default marker is POINT

Rotation

You can even rotate your art by using rotation parameter. Enter your desired rotation for the image in degrees and you will have it.

>>> g = GenerativeImage(f1, f2)
>>> g.generate()
>>> g.plot(rotation=45)

• Default rotation is 0

Range

>>> g = GenerativeImage(f1, f2)
>>> g.generate(start=-2*math.pi, step=0.01, 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 and bgcolor parameters supported formats:

  1. Color name (example: color="yellow")
  2. RGB/RGBA (example: color=(0.1,0.1,0.1), color=(0.1,0.1,0.1,0.1))
  3. Hex (example: color="#eeefff")
  4. Random (example: color="random")
  5. Complement (example: color="complement", bgcolor="blue")
  6. Transparent (example: bgcolor="transparent")
  7. List (example: color=["black", "#fffeef",...])

⚠️ Transparent mode is only available for background

⚠️ List mode is only available for color

⚠️ In List mode, the length of this list must be equal to the lengths of data1 and data2

Point color

You can make your custom color map and use it in Samila

>>> colorarray = [
...  [0.7, 0.2, 0.2, 1],
...  [0.6, 0.3, 0.2, 1],
...  "black",
...  [0.4, 0.4, 0.3, 1],
...  [0.3, 0.4, 0.4, 1],
...  "#ff2561"]
>>> g.generate()
>>> g.seed
454893
>>> g.plot(cmap=colorarray, color=g.data2, projection=Projection.POLAR)
>>> plt.show()

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", timeout=5000)
{'status': True, 'message': 'FILE_LINK'}

You can also upload your config/data to nft storage as follows:

>>> g.nft_storage(api_key="API_KEY", upload_config=True)
{'status': {'image': True, 'config':True}, 'message': {'image':'IMAGE_FILE_LINK', 'config':'CONFIG_FILE_LINK'}

or

>>> g.nft_storage(api_key="API_KEY", upload_data=True)
{'status': {'image': True, 'data':True}, 'message': {'image':'IMAGE_FILE_LINK', 'data':'DATA_FILE_LINK'}

You have the option to choose a specific IPFS gateway:

>>> from samila import Gateway
>>> g.nft_storage(api_key="API_KEY", upload_data=True, gateway=Gateway.DWEB)
{'status': {'image': True, 'data':True}, 'message': {'image':'IMAGE_FILE_LINK', 'data':'DATA_FILE_LINK'}

• Default timeout is 3000 seconds
• Default gateway is IPFS_IO

Save image

Save generated image

>>> g.save_image(file_adr="test.png")
{'status': True, 'message': 'FILE_PATH'}

Save generated image in higher resolutions

>>> g.save_image(file_adr="test.png", depth=5)
{'status': True, 'message': 'FILE_PATH'}

Save data

Save generated image data

>>> g.save_data(file_adr="data.json")
{'status': True, 'message': 'FILE_PATH'}

So you can load it into a GenerativeImage instance later by

>>> g = GenerativeImage(data=open('data.json', 'r'))

Data structure:

{
  "plot": {
    "projection": "polar",
    "bgcolor": "black",
    "color": "snow",
    "spot_size": 0.01
  },
  "matplotlib_version": "3.0.3",
  "data1": [
    0.3886741692042526,
    22.57390286376703,
    -0.1646310981668766,
    66.23632344600155
  ],
  "data2": [
    -0.14588750183600108,
    20.197945942677833,
    0.5485453260942901,
    -589.3284610518896
  ]
}

Save config

Save generated image config. It contains string formats of functions which is also human readable.

>>> g.save_config(file_adr="config.json")
{'status': True, 'message': 'FILE_PATH'}

So you can load it into a GenerativeImage instance later by

>>> g = GenerativeImage(config=open('config.json', 'r'))

Config structure:

{
    "matplotlib_version": "3.0.3",
    "generate": {
        "seed": 379184,
        "stop": 3.141592653589793,
        "step": 0.01,
        "start": -3.141592653589793
    },
    "f2": "random.uniform(-1,1)*math.cos(x*(y**3))+random.uniform(-1,1)*math.ceil(y-x)",
    "f1": "random.uniform(-1,1)*math.ceil(y)-random.uniform(-1,1)*y**2+random.uniform(-1,1)*abs(y-x)",
    "plot": {
        "color": "snow",
        "bgcolor": "black",
        "projection": "polar",
        "spot_size": 0.01
    }
}

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 defined as follow:

And below 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 use 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)

Try Samila in your browser!

Samila can be used online in interactive Jupyter Notebooks via the Binder or Colab services! Try it out now! :

• Check examples folder

Issues & bug reports

Just fill an issue and describe it. We'll check it ASAP! or send an email to info@samila.site.

• Please complete the issue template

You can also join our discord server

Social media

1. Instagram
2. Telegram
3. Twitter
4. Discord

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

Acknowledgments

This project was funded through the Next Step Microgrant, a program established by Protocol Labs.

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