color2vec

Color2Vec

Right now this package is only for greendeck's internal use. This will help to get vectors for a color text or RGB value.

Install from pip

https://pypi.org/project/color2vec/

pip install color2vec

How to use ?

import the library

import color2vec

import Color2Vec class

from color2vec import Color2Vec

initialize Color2Vec object.

color2vec = Color2Vec()

convert RGB to Vector

# RGB2vec
print("RGB2vec: \n")
print(color2vec.RGB2vec([255.0, 0.0, 0.0]))

convert RGB to LAB color space.

# RGB2LAB
print("RGB2LAB: \n")
print(color2vec.RGB2LAB([255.0, 0.0, 0.0]))

convert a color string to RGB color space.

# string2RGB
print("string2RGB: \n")
print(color2vec.string2RGB("Greendeck"))

convert a color string to vector.

# string2vec
print("string2vec: \n")
print(color2vec.string2vec("Greendeck"))

convert a color string to LAB color space.

# string2LAB
print("string2LAB: \n")
print(color2vec.string2LAB("Greendeck"))

Build an Annoy index.

# Annoy Index
color2vec.buildAnnoy(items, type="string")

'''
Items is a list datatype. It can contains either list of color string or RGB colors. Type can be `string` or `RGB`
'''

Find similar items from an annoy index.

# Annoy Index
color2vec.similar(target, build_annoy, k=5, include_distance=True)

'''
target can be a color string or RGB array, k is the no of similar items you want. Keep include distance `True` if you want distance across all similar items.
'''

Find distance between two item.

# Annoy Index
color2vec.distance(items, type="string")



'''
Length of items array should be two. Type can be `string` or `RGB` based on items type.'''


How to build your pip package

* open an account here https://pypi.org/

In the parent directory
* ```python setup.py sdist bdist_wheel```
* ```twine upload dist/*```

Update your package
* ```python setup.py sdist```
* ```twine upload dist/*```

references
* https://medium.com/small-things-about-python/lets-talk-about-python-packaging-6d84b81f1bb5
* https://packaging.python.org/tutorials/packaging-projects/RabbitMQ

# Thank You