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

You might also like...
Spatial color quantization in Rust
Spatial color quantization in Rust

rscolorq Rust port of Derrick Coetzee's scolorq, based on the 1998 paper "On spatial quantization of color images" by Jan Puzicha, Markus Held, Jens K

Collyn O'Kane 37 Dec 22, 2022
Rendering color and depth images for ShapeNet models.
Rendering color and depth images for ShapeNet models.

Color & Depth Renderer for ShapeNet This library includes the tools for rendering multi-view color and depth images of ShapeNet models. Physically bas

Yinyu Nie 41 Dec 19, 2022
3DMV jointly combines RGB color and geometric information to perform 3D semantic segmentation of RGB-D scans.
3DMV jointly combines RGB color and geometric information to perform 3D semantic segmentation of RGB-D scans.

3DMV 3DMV jointly combines RGB color and geometric information to perform 3D semantic segmentation of RGB-D scans. This work is based on our ECCV'18 p

Владислав Молодцов 0 Feb 6, 2022
A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image.
A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image.

Minimal Body A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image. The model file is only 51.2 MB and runs a

Yuxiao Zhou 49 Dec 5, 2022
Implementation of GGB color space
Implementation of GGB color space

GGB Color Space This package is implementation of GGB color space from Development of a Robust Algorithm for Detection of Nuclei and Classification of

Resha Dwika Hefni Al-Fahsi 2 Oct 6, 2021
A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.
A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.

Minimal Hand A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run. This project provides the

Yuxiao Zhou 824 Jan 7, 2023
An end-to-end image translation model with weight-map for color constancy
An end-to-end image translation model with weight-map for color constancy

CCUnet An end-to-end image translation model with weight-map for color constancy 1. Download the dataset (take Colorchecker_recommended dataset as an

Jianhui Qiu 1 Dec 21, 2021
Blender Add-on that sets a Material's Base Color to one of Pantone's Colors of the Year
Blender Add-on that sets a Material's Base Color to one of Pantone's Colors of the Year

Blender PCOY (Pantone Color of the Year) MCMC (Mid-Century Modern Colors) HG71 (House & Garden Colors 1971) Blender Add-ons That Assign a Custom Color

Don Schnitzius 15 Nov 20, 2022
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

H2O H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Fl

H2O.ai 6.1k Jan 5, 2023
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/
Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)

Active Learning for Deep Object Detection via Probabilistic Modeling This repository is the official PyTorch implementation of Active Learning for Dee

NVIDIA Research Projects 130 Jan 06, 2023
Deployment of PyTorch chatbot with Flask

Chatbot Deployment with Flask and JavaScript In this tutorial we deploy the chatbot I created in this tutorial with Flask and JavaScript. This gives 2

Patrick Loeber (Python Engineer) 107 Dec 29, 2022
HiFi++: a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement

HiFi++ : a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement This is the unofficial implementation of Vocoder part of

Rishikesh (ऋषिकेश) 118 Dec 29, 2022
Semi-supervised semantic segmentation needs strong, varied perturbations

Semi-supervised semantic segmentation using CutMix and Colour Augmentation Implementations of our papers: Semi-supervised semantic segmentation needs

146 Dec 20, 2022
Denoising Diffusion Probabilistic Models

Denoising Diffusion Probabilistic Models Jonathan Ho, Ajay Jain, Pieter Abbeel Paper: https://arxiv.org/abs/2006.11239 Website: https://hojonathanho.g

Jonathan Ho 1.5k Jan 08, 2023
Python package for visualizing the loss landscape of parameterized quantum algorithms.

orqviz A Python package for easily visualizing the loss landscape of Variational Quantum Algorithms by Zapata Computing Inc. orqviz provides a collect

Zapata Computing, Inc. 75 Dec 30, 2022
Implementation of ML models like Decision tree, Naive Bayes, Logistic Regression and many other

ML_Model_implementaion Implementation of ML models like Decision tree, Naive Bayes, Logistic Regression and many other dectree_model: Implementation o

Anshuman Dalai 3 Jan 24, 2022
A community run, 5-day PyTorch Deep Learning Bootcamp

Deep Learning Winter School, November 2107. Tel Aviv Deep Learning Bootcamp : http://deep-ml.com. About Tel-Aviv Deep Learning Bootcamp is an intensiv

Shlomo Kashani. 1.3k Sep 04, 2021
Look Who’s Talking: Active Speaker Detection in the Wild

Look Who's Talking: Active Speaker Detection in the Wild Dependencies pip install -r requirements.txt In addition to the Python dependencies, ffmpeg

Clova AI Research 60 Dec 08, 2022
Repositório da disciplina de APC, no segundo semestre de 2021

NOTAS FINAIS: https://github.com/fabiommendes/apc2018/blob/master/nota-final.pdf Algoritmos e Programação de Computadores Este é o Git da disciplina A

16 Dec 16, 2022
Official Implementation of SWAD (NeurIPS 2021)

SWAD: Domain Generalization by Seeking Flat Minima (NeurIPS'21) Official PyTorch implementation of SWAD: Domain Generalization by Seeking Flat Minima.

Junbum Cha 97 Dec 20, 2022
Sample code from the Neural Networks from Scratch book.

Neural Networks from Scratch (NNFS) book code Code from the NNFS book (https://nnfs.io) separated by chapter.

Harrison 172 Dec 31, 2022
Pytorch implementation of the DeepDream computer vision algorithm

deep-dream-in-pytorch Pytorch (https://github.com/pytorch/pytorch) implementation of the deep dream (https://en.wikipedia.org/wiki/DeepDream) computer

102 Dec 05, 2022
The code of “Similarity Reasoning and Filtration for Image-Text Matching” [AAAI2021]

SGRAF PyTorch implementation for AAAI2021 paper of “Similarity Reasoning and Filtration for Image-Text Matching”. It is built on top of the SCAN and C

Ronnie_IIAU 149 Dec 22, 2022
A unet implementation for Image semantic segmentation

Unet-pytorch a unet implementation for Image semantic segmentation 参考网上的Unet做分割的代码，做了一个针对kaggle地盐识别的，请去以下地址获取数据集: https://www.kaggle.com/c/tgs-salt-id

Rabbit 3 Jun 29, 2022
Simple (but Strong) Baselines for POMDPs

Recurrent Model-Free RL is a Strong Baseline for Many POMDPs Welcome to the POMDP world! This repo provides some simple baselines for POMDPs, specific

Tianwei V. Ni 172 Dec 29, 2022
Reproducing Results from A Hybrid Approach to Targeting Social Assistance

title author date output Reproducing Results from A Hybrid Approach to Targeting Social Assistance Lendie Follett and Heath Henderson 12/28/2021 html_

Lendie Follett 0 Jan 06, 2022
LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.

This project is based on ultralytics/yolov3. LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image. Download $ git clone http

26 Dec 13, 2022
This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Models used for prediction Diabetes and further the basic theory and working of Gold nanoparticles.

GoldNanoparticles This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Mode

1 Jan 30, 2022
Official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning (ICML 2021) published at International Conference on Machine Learning

About This repository the official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning. The config files contain the s

Dynamic Vision and Learning Group 41 Dec 10, 2022