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/
Pre-training of Graph Augmented Transformers for Medication Recommendation

G-Bert Pre-training of Graph Augmented Transformers for Medication Recommendation Intro G-Bert combined the power of Graph Neural Networks and BERT (B

101 Dec 27, 2022
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

IDRLnet IDRLnet is a machine learning library on top of PyTorch. Use IDRLnet if you need a machine learning library that solves both forward and inver

IDRL 105 Dec 17, 2022
Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs

Perceiver IO Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs Usage import torch from src.perceiver.

Timur Ganiev 111 Nov 15, 2022
Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function

Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function

El Bruno 3 Mar 30, 2022
Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving

Visual 3D Detection Package: This repo aims to provide flexible and reproducible visual 3D detection on KITTI dataset. We expect scripts starting from

Yuxuan Liu 305 Dec 19, 2022
MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions

MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions Project Page | Paper If you find our work useful for your research, please con

96 Jan 04, 2023
Deep learning for spiking neural networks

A deep learning library for spiking neural networks. Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and even

Electronic Vision(s) Group — BrainScaleS Neuromorphic Hardware 59 Nov 28, 2022
Beancount-mercury - Beancount importer for Mercury Startup Checking

beancount-mercury beancount-mercury provides an Importer for converting CSV expo

Michael Lynch 4 Oct 31, 2022
[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

PG-MORL This repository contains the implementation for the paper Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Contro

MIT Graphics Group 65 Jan 07, 2023
banditml is a lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

banditml is a lightweight contextual bandit & reinforcement learning library designed to be used in production Python services. This library is developed by Bandit ML and ex-authors of Facebook's app

Bandit ML 51 Dec 22, 2022
zeus is a Python implementation of the Ensemble Slice Sampling method.

zeus is a Python implementation of the Ensemble Slice Sampling method. Fast & Robust Bayesian Inference, Efficient Markov Chain Monte Carlo (MCMC), Bl

Minas Karamanis 197 Dec 04, 2022
neural image generation

pixray Pixray is an image generation system. It combines previous ideas including: Perception Engines which uses image augmentation and iteratively op

dribnet 398 Dec 17, 2022
RoBERTa Marathi Language model trained from scratch during huggingface 🤗 x flax community week

RoBERTa base model for Marathi Language (मराठी भाषा) Pretrained model on Marathi language using a masked language modeling (MLM) objective. RoBERTa wa

Nipun Sadvilkar 23 Oct 19, 2022
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

EMANet News The bug in loading the pretrained model is now fixed. I have updated the .pth. To use it, download it again. EMANet-101 gets 80.99 on the

Xia Li 李夏 663 Nov 30, 2022
Implementation of Bagging and AdaBoost Algorithm

Bagging-and-AdaBoost Implementation of Bagging and AdaBoost Algorithm Dataset Red Wine Quality Data Sets For simplicity, we will have 2 classes of win

Zechen Ma 1 Nov 01, 2021
PyTorch implementaton of our CVPR 2021 paper "Bridging the Visual Gap: Wide-Range Image Blending"

Bridging the Visual Gap: Wide-Range Image Blending PyTorch implementaton of our CVPR 2021 paper "Bridging the Visual Gap: Wide-Range Image Blending".

Chia-Ni Lu 69 Dec 20, 2022
TorchIO is a Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.

Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.

Fernando Pérez-García 1.6k Jan 06, 2023
FS-Mol: A Few-Shot Learning Dataset of Molecules

FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation

Microsoft 114 Dec 15, 2022
TJU Deep Learning & Neural Network

Deep_Learning & Neural_Network_Lab 实验环境 Python 3.9 Anaconda3(官网下载或清华镜像都行) PyTorch 1.10.1(安装代码如下) conda install pytorch torchvision torchaudio cudatool

St3ve Lee 1 Jan 19, 2022
This is a work in progress reimplementation of Instant Neural Graphics Primitives

Neural Hash Encoding This is a work in progress reimplementation of Instant Neural Graphics Primitives Currently this can train an implicit representa

Penn 79 Sep 01, 2022