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https://github.com/akiomik/pilgram

A python library for instagram filters
https://github.com/akiomik/pilgram

blend-modes css-filters data-augmentation image-augmentation image-blending image-processing instagram instagram-filters pillow

Last synced: about 2 months ago
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A python library for instagram filters

Host: GitHub
URL: https://github.com/akiomik/pilgram
Owner: akiomik
License: apache-2.0
Created: 2019-02-06T03:10:44.000Z (over 5 years ago)
Default Branch: main
Last Pushed: 2024-07-30T02:07:36.000Z (about 2 months ago)
Last Synced: 2024-07-30T06:28:22.013Z (about 2 months ago)
Topics: blend-modes, css-filters, data-augmentation, image-augmentation, image-blending, image-processing, instagram, instagram-filters, pillow
Language: Jupyter Notebook
Homepage:
Size: 3.53 MB
Stars: 110
Watchers: 5
Forks: 16
Open Issues: 1
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Citation: CITATION.cff

Awesome Lists containing this project

README

        # pilgram

[![DOI](https://zenodo.org/badge/169348812.svg)](https://zenodo.org/badge/latestdoi/169348812)

[![PyPI](https://img.shields.io/pypi/v/pilgram.svg)](https://python.org/pypi/pilgram)

[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pilgram.svg)](https://python.org/pypi/pilgram)

[![Python CI](https://github.com/akiomik/pilgram/actions/workflows/ci.yml/badge.svg)](https://github.com/akiomik/pilgram/actions/workflows/ci.yml)

[![codecov](https://codecov.io/gh/akiomik/pilgram/branch/master/graph/badge.svg)](https://codecov.io/gh/akiomik/pilgram)

A python library for instagram filters.

![screenshot](screenshots/screenshot.png)

The filter implementations are inspired by [CSSgram](https://una.im/CSSgram/).

## Requirements

- Python >= 3.4

- [Pillow](https://pillow.readthedocs.io/en/stable/) or [pillow-simd](https://github.com/uploadcare/pillow-simd)

- [NumPy](https://numpy.org)

## Install

```sh

pip install pillow>=4.1.0 # or pip install pillow-simd

pip install numpy

pip install pilgram

```

## Usage

Available instagram filters on `pilgram`:

- `_1977`

- `aden`

- `brannan`

- `brooklyn`

- `clarendon`

- `earlybird`

- `gingham`

- `hudson`

- `inkwell`

- `kelvin`

- `lark`

- `lofi`

- `maven`

- `mayfair`

- `moon`

- `nashville`

- `perpetua`

- `reyes`

- `rise`

- `slumber`

- `stinson`

- `toaster`

- `valencia`

- `walden`

- `willow`

- `xpro2`

```python

from PIL import Image

import pilgram

im = Image.open('sample.jpg')

pilgram.aden(im).save('sample-aden.jpg')

```

Similarly, pilgram provides css filters and blend modes as a by-product.

Available css filters on `pilgram.css`:

- `contrast`

- `grayscale`

- `hue_rotate`

- `saturate`

- `sepia`

```python

from PIL import Image

import pilgram.css

im = Image.open('sample.jpg')

pilgram.css.sepia(im).save('sample-sepia.jpg')

```

Available blend modes on `pilgram.css.blending`:

- `color`

- `color_burn`

- `color_dodge`

- `darken`

- `difference`

- `exclusion`

- `hard_light`

- `hue`

- `lighten`

- `multiply`

- `normal`

- `overlay`

- `screen`

- `soft_light`

```python

from PIL import Image

import pilgram.css.blending

backdrop = Image.open('backdrop.jpg')

source = Image.open('source.jpg')

pilgram.css.blending.color(backdrop, source).save('blending.jpg')

```

## Demo

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/akiomik/pilgram/blob/master/notebooks/example.ipynb)

- [notebooks/example.ipynb](notebooks/example.ipynb)

## Filter performance comparison with [instagram-filters](https://github.com/acoomans/instagram-filters)

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/akiomik/pilgram/blob/master/notebooks/filter-performance-comparison.ipynb)

- [notebooks/filter-performance-comparison.ipynb](notebooks/filter-performance-comparison.ipynb)

![filter performance comparison](screenshots/filter-performance-comparison.png)

## Test

```sh

pipenv install --dev

make test     # pytest

make test-tox # pytest with tox

```