- Overview
- Installation
- Usage
- Mathematical Details
- Try Samila in Your Browser
- Issues & Bug Reports
- Social Media
- Contribution
- References
- Acknowledgments
- Authors
- License
- Show Your Support
- Changelog
- Code of Conduct
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.
| Open Hub |  |
| PyPI Counter | |
| Github Stars |  |
| Branch | master | dev |
| CI |  |
 |
| Code Quality |
- Download Version 1.1 or Latest Source
- Run
pip install -r requirements.txtorpip3 install -r requirements.txt(Need root access) - Run
python3 setup.py installorpython setup.py install(Need root access)
- Check Python Packaging User Guide
- Run
pip install samila==1.1orpip3 install samila==1.1(Need root access)
- Run
easy_install --upgrade samila(Need root access)
- Check Conda Managing Package
conda install -c sepandhaghighi samila(Need root access)
>>> import matplotlib.pyplot as plt
>>> from samila import GenerativeImage
>>> g = GenerativeImage()
>>> g.generate()
>>> g.plot()
>>> plt.show()
>>> 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()
>>> 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,MOLLWEIDEandRANDOM - Default projection is
RECTILINEAR
>>> 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,HLINEandRANDOM - Default marker is
POINT
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
>>> g = GenerativeImage(f1, f2)
>>> g.generate(start=-2*math.pi, step=0.01, stop=0)
>>> g.plot()
>>> g.seed
234752
>>> plt.show()
>>> 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_COLORSlist -
colorandbgcolorparameters supported formats:- Color name (example:
color="yellow") - RGB/RGBA (example:
color=(0.1,0.1,0.1),color=(0.1,0.1,0.1,0.1)) - Hex (example:
color="#eeefff") - Random (example:
color="random") - Complement (example:
color="complement", bgcolor="blue") - Transparent (example:
bgcolor="transparent") - List (example:
color=["black", "#fffeef",...])
- Color name (example:
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()
>>> g = GenerativeImage(f1, f2)
>>> g.generate(seed=1018273)
>>> g.plot(projection=Projection.POLAR)
>>> plt.show()
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'}- Default timeout is 3000 seconds
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 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 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
}
}Samila is simply a transformation between a square-shaped space from the Cartesian coordinate system to any arbitrary coordination like Polar coordinate system.
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)
Samila can be used online in interactive Jupyter Notebooks via the Binder or Colab services! Try it out now! :
- Check
examplesfolder
Just fill an issue and describe it. We'll check it ASAP! or send an email to [email protected].
- Please complete the issue template
You can also join our discord server
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
This project was funded through the Next Step Microgrant, a program established by Protocol Labs.
Give a ⭐️ if this project helped you!
If you do like our project and we hope that you do, can you please support us? Our project is not and is never going to be working for profit. We need the money just so we can continue doing what we do ;-) .
1KtNLEEeUbTEK9PdN6Ya3ZAKXaqoKUuxCy 0xcD4Db18B6664A9662123D4307B074aE968535388 Ldnz5gMcEeV8BAdsyf8FstWDC6uyYR6pgZ DDUnKpFQbBqLpFVZ9DfuVysBdr249HxVDh TCZxzPZLcJHr2qR3uPUB1tXB6L3FDSSAx7 rN7ZuRG7HDGHR5nof8nu5LrsbmSB61V1qq bnb1zglwcf0ac3d0s2f6ck5kgwvcru4tlctt4p5qef 0xcD4Db18B6664A9662123D4307B074aE968535388 Xd3Yn2qZJ7VE8nbKw2fS98aLxR5M6WUU3s GALPOLPISRHIYHLQER2TLJRGUSZH52RYDK6C3HIU4PSMNAV65Q36EGNL zil1knmz8zj88cf0exr2ry7nav9elehxfcgqu3c5e5
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot]")
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent