automatic color-grading

Related tags

Deep Learningcolorimagetransferphotographymatchingmatchhistogramautomaticcolourstopmotionmkllightfieldreinhardcolor-gradinghistogram-equalizationmongehistogram-matchingkantorovichpitiere-color
Overview

color-matcher

Description

color-matcher enables color transfer across images which comes in handy for automatic color-grading of photographs, paintings and film sequences as well as light-field and stopmotion corrections. The methods behind the mappings are based on the approach from Reinhard et al., an analytical solution to a Multi-Variate Gaussian Distribution (MVGD) transfer, the Monge-Kantorovich solution as proposed by Pitie et al. and classical histogram matching.

release License GitHub Workflow Status coverage PyPi Dl2 PyPI Downloads

binder

Results

  Source Target Result
Photograph
Film sequence
Light-field correction
Paintings

Installation

  • via pip:
    1. install with pip3 install color-matcher
    2. type color-matcher -h to the command line once installation finished
  • from source:
    1. install Python from https://www.python.org/
    2. download the source using git clone https://github.com/hahnec/color-matcher.git
    3. go to the root directory cd color-matcher
    4. load dependencies $ pip3 install -r requirements.txt
    5. install with python3 setup.py install
    6. if installation ran smoothly, enter color-matcher -h to the command line

CLI Usage

From the root directory of your downloaded repo, you can run the tool on the provided test data by

color-matcher -s './tests/data/scotland_house.png' -r './tests/data/scotland_plain.png'

on a UNIX system where the result is found at ./tests/data/. A windows equivalent of the above command is

color-matcher --src=".\\tests\\data\\scotland_house.png" --ref=".\\tests\\data\\scotland_plain.png"

Alternatively, you can specify the method or select your images manually with

color-matcher --win --method='hm-mkl-hm'

Note that batch processing is possible by passing a source directory, e.g., via

color-matcher -s './tests/data/' -r './tests/data/scotland_plain.png'

More information on optional arguments, can be found using the help parameter

color-matcher -h

API Usage

from color_matcher import ColorMatcher
from color_matcher.io_handler import load_img_file, save_img_file, FILE_EXTS
from color_matcher.normalizer import Normalizer
import os

img_ref = load_img_file('./tests/data/scotland_plain.png')

src_path = '.'
filenames = [os.path.join(src_path, f) for f in os.listdir(src_path)
                     if f.lower().endswith(FILE_EXTS)]

for i, fname in enumerate(filenames):
    img_src = load_img_file(fname)
    obj = ColorMatcher(src=img_src, ref=img_ref, method='mkl')
    img_res = obj.main()
    img_res = Normalizer(img_res).uint8_norm()
    save_img_file(img_res, os.path.join(os.path.dirname(fname), str(i)+'.png'))

Citation

@misc{hahne2020plenopticam,
      title={PlenoptiCam v1.0: A light-field imaging framework},
      author={Christopher Hahne and Amar Aggoun},
      year={2020},
      eprint={2010.11687},
      archivePrefix={arXiv},
      primaryClass={eess.IV}
}

Author

Christopher Hahne

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Comments
  • Color-matcher batch processing

    Color-matcher batch processing

    I've just discovered color-matcher and find it potentially very useful for preprocessing histopathological datasets for deep learning. I can't, however, find a way to use it in batch mode - that is - is there any way to load more than one source image and/or more than one target image to process larger image datasets in batch?

    opened by SahPet 4
  • Doc suggests pip3 for install, Anaconda seems to work with pip only

    Doc suggests pip3 for install, Anaconda seems to work with pip only

    I'm using Anaconda (Conda 4.9.2) and used the documentation's suggested pip3 install procedure for color-matcher, but I couldn't run it from the command prompt. However, when I installed it via pip (just pip) it worked fine.

    I ain't entirely sure if this fella got Python 3.8 and Python 2.7 both in there, but somehow I can only get it to run by entering only color-matcher in the command line after installing through pip as opposed to pip3.

    Might need an extra line in the documentation saying do this if you're using Anaconda or Python 2.x or something, I ain't entirely sure of what's going on behind the scenes really.

    opened by torridgristle 1
  • Rendering videos

    Rendering videos

    hi thanks for this great piece of code.

    I am doing some tests on videos, is there a specific mode to ensure temporal consistency for video rendering?

    I have tried a few image by image processing, and the results are subject to flickering, especially when there are strong intense areas, even small (the blinking crosswalk light in the below examples)

    thanks

    https://user-images.githubusercontent.com/29961693/178616708-e5b7fd6d-b2aa-4dd1-abe8-2908267621b5.mp4

    https://user-images.githubusercontent.com/29961693/178616722-381ff433-ebaa-423d-801b-a518816068c3.mp4

    opened by Tetsujinfr 1
  • [ Feature Request ] CLUT Output

    [ Feature Request ] CLUT Output

    The ability to save a CLUT of the color transformation would be useful for applying the transformation to other scenes / videos / games, and for tweaking the transformation with other tools for artistic purposes with color-matcher's output as the starting point.

    Look I got the early morning lightheadedness and I wanna gush about this program, this has saved me such a hassle trying to white balance the most fucked up of photos with purple skin, absolutely marvelous. Software intended for auto white-balance just made em all green, but this matched it to a collage of similar faces in better lighting and damn if it isn't just the best outcome I could imagine for the material. I could overhaul an entire dataset and augment the shit out of it if I wanted. This is baller.

    feature-request 
    opened by torridgristle 6
Releases(v0.5.0)
Owner
hahnec
hahnec
GitHub Repository https://hahnec.github.io/color-matcher/
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