Saravanan666/pypi-org huggingface dataset:
Package: color-ssh
Runs remote commands, colorfully.FeaturesTwo commands will be installed.color-cat: Similar to Linux’scatcommand, but the only difference is that the output is colored.The color is determined by the label string, therefore same label makes the output to be same color.color-ssh: Execute remote commands viasshwith colored output. You can do parallel optionally.DependenciesPython: 2.6 / 2.7 / 3.2 / 3.3 / 3.4 / 3.5Installationpipcommand may needsudoOperationCommandInstallpip installcolor-sshUpgradepip install--upgradecolor-sshUninstallpip uninstallcolor-sshCheck installed versioncolor-cat--versioncolor-ssh--versionHelpcolor-cat--helpcolor-ssh--helpQuickstartcolor-catecho abc | color-cat -l label             # print colored label and output
echo abc | color-cat -l label -c magenta  # specify color
echo abc | color-cat -l label -s '=>'     # specify separator
color-cat -l label README.rst             # print the content of the filecolor-sshBasic usagecolor-ssh server-1 ls -l                       # run command in server-1 with colored output
color-ssh server-1 'cd /tmp && pwd'
color-ssh --ssh 'ssh -v' username@server-1 id  # overwrite ssh command to "ssh -v"Parallel command executingcolor-ssh -h ~/hosts ls -l              # load host list from file (each line "[user@]host[:port]")
color-ssh -H 'server-1 server-2' ls -l  # specify server list within the command line
color-ssh -h ~/hosts -p 4 ls -l         # specify parallelismUploading files and distributing command-line argumentscolor-ssh -h ~/hosts --upload-with /path/to/xxx do-something /path/to/xxx     # upload file before executing command
color-ssh -h ~/hosts --upload-with '/path/to/xxx /path/to/yyy' do-something   # upload two files
color-ssh -h ~/hosts --distribute do-something a b c d e
  # distirubute arguments to each server
  # e.g.
  # server-1: do-something a b c
  # server-2: do-something d e
color-ssh -h ~/hosts --upload --distribute do-something /path/to/xxx /path/to/yyy
  # upload files before executing command
  # e.g.
  # server-1: do-something /path/to/xxx (uploading /path/to/xxx)
  # server-2: do-something /path/to/yyy (uploading /path/to/yyy)
Package: colorstats
ColorStatsPython package for processing color data from images.InstallationInstall colorstats with:pip3 install colorstatsOverviewColorStats allows users to process pixel data from images in order to
determine various statistics/attributes of the color composition of images.
It also allows users to determine the similarity of a set of images
using these statistics.Functionality/FeaturesSingle Imagegenerate the average shade of each general color (red, blue, etc. )
present in an image and their standard deviationscalculate average saturation and lightnesscalculate the percentage color composition of the imageSets of Imagescalculate average and standard deviation of saturation and lightness across all imagescalculate similarity based on:average shades of colorspercentage color compositionaverage saturation and lightnessweighted some of the above values
Package: colorstylecycler
StatusCompatibilitiesContactColor and Style CyclerColors and style cyclerCan cycle through combination of colors and line or marker styles. Colors will be computed from a color gradient,
depending on the number of lines to plot, which is given as an argument at object creation, and the number of
styles. By default, styles are supposed to be linestyles. This can be changed to marker with the 'style' argument.Installationpip install colorstylecyclerUsage# noinspection PyUnresolvedReferencesfrommatplotlibimportpyplotaspltfromcolorstylecyclerimportCyclernumber_of_curves=15cy=Cycler(ncurves=number_of_curves)plt.rc('axes',prop_cycle=cy.cycler)
Package: colorsynth
colorsynthA Python library for creating false-color images from 3D Numpy arrays of spectral intensity.Installationcolorsynthis available on the Python Package Index and can be installed usingpip:pip install colorsynthGalleryAn Si IV 1403 A spectroheliogram captured by theInterface Region Imaging Spectrographand colorized usingcolorsynth.rgb().
The code to create this image can be found in thedocumentation.
Package: colorsysx
colorsysX🌈👁️Extra, human-relevant, colour spaces derived from RGBThis package extends the standard Python library'scolorsysmodule
with a few additional, useful, colour spaces. The models of colour
provided here are simple, but relevant to human vision and the perceived
lightness of different colour hues.Colour modelsYUV(specifically, YPbPr): a luma and colour difference model.HCY: a cylindrical hue, relative chroma, and luma model.GLHS: ageneralizedlightness/hue/saturation model.YUVhas a perceptually relevant lightness term. It can preserve
absolute chroma when manipulating luma.HCYis intuitive to use, and its lightness term is the same as
YUV's. It's particularly useful when manipulating colours to meetWCAG
2.2ordraft 3.0 WCAGcontrast criteria.GLHSis a generalization of the cylindrical coordinate spaces
provided incolorsysxandcolorsys. It can be parameterised to
provide any of the other similar models.For developersColorsysX is library code, with no bundled scripts. Other projects are
free to depend on it in the normal way.InstallationTo install thelatest version from PyPI, for example into your
current Python virtual environment:pipinstallcolorsysxInterface conventionsfromcolorsysximportrgb_to_hcy,hcy_to_rgbh,c,y=rgb_to_hcy(0.5,0.7,0.93)r,g,b=hcy_to_rgb(h,c,y)The conversion functions are named like the builtincolorsysmodule's
functions, and share a very similar interface. For each colour system
ABC, this package provides two functions:rgb_to_abc() → a, b, c
abc_to_rgb() → r, g, bAll inputs and outputs are tuples of 3 floats in the range [0.0, 1.0].
Unlikecolorsysx, the functions accept optional weighting parameters,
which can be used to tune the colour model being used.Testing and developingColorsysX is developed on GitHub asachadwick/python-colorsysx.
Please report bugs via theissue trackerthere.ColorsysX usestoxto run tests and manage utility Python
environments. Examples:# Run all standard tests in parallel on all available Pythonstox-p# Run the system version of Python interactively in a venv with# colorsysx available.tox-ereplThe build system isflit, and the project is PEP 621 and PEP 517
compliant.
Package: colort
ColortThis module provides functions for formatting text with ANSI escape codes to add color and style.InstallationpipinstallcolortUsagefromcolortimportcolorizeThecolorizefunction takes a string and any number ofStyleand*Colorenums. It returns the string formatted with the specified styles.For example:fromcolorformatimportcolorize,ForegroundColorasfc,Stylecolored_text=colorize('Hello World!',fc.GREEN,Style.BOLD)print("colored text: ",colored_text)This will print the text in bold and green.The available formatting options are:ColorsForegroundColorBLACK, RED, GREEN, YELLOW, BLUE, etc.BackgroundColorBLACK, RED, GREEN, YELLOW, BLUE, etc.StylesStyleNORMAL, BOLD, UNDERLINE, BLINK, INVERT, HIDEMultiple styles can be combined:colorize('Text',ForegroundColor.WHITE,BackgroundColor.RED,Style.BOLD)
Package: colorteller
colortellerBenchmark color palettes.pip install colortellerWe have a website!We have built a website for color palette discovery and sharing:https://colorteller.kausalflow.comDocumentationRead theDocumentation.Use the Command Line Toolcolortellerbenchmark-h"#8de4d3"-h"#344b46"-h"#74ee65"-h"#238910"-h"#a6c363"-h"#509d99"-wbcTrue-ttest_colorteller_cmd-hspecifies a color in hex format;-tspecifies the folder to hold all the results (charts, metrics json, etc). It should be a folder.;-wbcisTruewill create benchmark metric charts;Use in Python CodeCreate a ColorTeller Objectfrom colorteller.teller import ColorTeller

hex_strings = ["#8de4d3", "#344b46", "#74ee65", "#238910", "#a6c363", "#509d99"]

ct = teller.ColorTeller(hex_strings=hex_strings)To retrieve the properties of the color palette, please refer tocolorteller.teller.Create Benchmarksfromcolorteller.tellerimportColorTellerfromcolorteller.utilsimportbenchmarkhex_strings=["#8de4d3","#344b46","#74ee65","#238910","#a6c363","#509d99"]ct=teller.ColorTeller(hex_strings=hex_strings)c=teller.Colors(colorteller=ct)m=c.metrics(methods=[benchmark.PerceptualDistanceBenchmark,benchmark.LightnessBenchmark])VisualizationsMetric Visualizationsfromcolortellerimporttellerfromcolorteller.utilsimportbenchmarkfromcolorteller.visualizeimportBenchmarkCharts,ApplicationChartshex_strings=["#8de4d3","#344b46","#74ee65","#238910","#a6c363","#509d99"]ct=teller.ColorTeller(hex_strings=hex_strings)c=teller.Colors(colorteller=ct)m=c.metrics(methods=[benchmark.PerceptualDistanceBenchmark,benchmark.LightnessBenchmark])charts=BenchmarkCharts(metrics=m,save_folder=".")charts.distance_matrix(show=True)charts.noticable_matrix(show=True)Demo Figures Using the Color Palettefromcolortellerimporttellerfromcolorteller.utilsimportbenchmarkfromcolorteller.visualizeimportBenchmarkCharts,ApplicationChartshex_strings=["#8de4d3","#344b46","#74ee65","#238910","#a6c363","#509d99"]ct=teller.ColorTeller(hex_strings=hex_strings)c=teller.Colors(colorteller=ct)ac=ApplicationCharts(colors=c,save_folder=".")ac.charts(save_to=True)# One could also create specific charts using the following# ac.bar_chart(show=True)# ac.line_chart(show=True)# ac.scatter_chart(show=True)# ac.donut_chart(show=True)
Package: color-theme-analyse
项目依赖比较简单，可以使用无依赖安装：pip install color-theme-analyse --no-deps如果你设置的全局镜像未收录本项目，请使用以下的命令从官方仓库安装或者手动指定镜像：pip install color-theme-analyse --no-deps -i https://pypi.org/simple以下镜像收录了本项目：https://pypi.tuna.tsinghua.edu.cn/simplehttp://pypi.douban.com/simplehttps://mirrors.tencent.com/pypi/simplehttp://mirrors.aliyun.com/pypi/simple/如果你使用的是校园网，可以使用腾讯镜像下载本项目pip install color-theme-analyse[base] -i https://mirrors.tencent.com/pypi/simple如果出于pypi学习目的首次下载，建议使用下面的下载命令：（推荐）pip install color-theme-analyse[base,dev] -i https://mirrors.tencent.com/pypi/simple等效于pip install color-theme-analyse[merge] -i https://mirrors.tencent.com/pypi/simple安装后使用终端命令MMCQsc运行支持以下终端命令（Linux平台需要注意大小写）：MMCQsc
RunMMCQsc
DoMMCQsc
MMCQscPure
MMCQscR
MMCQscR1
MMCQscR2项目地址GiteeGithub（偶尔同步）GitLab（偶尔同步）GitCodePypi（官方仓库）libraries.io（同步官方仓库）下载所有源文件 ->Links for color-theme-analyse (tencent.com)当前默认分支为dev2022master，pypi分支已停止维护源仓库在 Bitbucket，因此会首先得到同步Bug 反馈和 Issues 提交在Gitee或Github，在 Gitee 会得到最快反馈请勿在 Github 或 GitLab 提交 Issues ，它们只是同步仓库，不会处理任何提交的 Issues简介基于MMCQ对图片进行色彩主题分析，采用图片压缩和多进程来加速批量分析速度。master分支是功能实现的 Simple Demopypi分支是 基于master分支重构的 Python Package 打包发布的 Simple Demoembed分支是 基于 pypi分支重构的 嵌入式版本 Simple Demo本项目是ImageColorTheme的（MMCQ）具体实现，ImageColorTheme的GitHub（国内镜像）地址：GitHub - rainyear/ImageColorTheme: Extract Color Themes from Images (fastgit.org)本项目同时也是SCMD开源计划的一部分Requires要求的版本 3.10.0 > Python >= 3.9.0建议的版本 Python == 3.9.5from multiprocessing import shared_memory required for Python >= 3.8要求的操作系统 Windows >= 1909  ( Win 10 / 11 )建议的操作系统 Windows>=22000.100（ Win 11 Dev ）必要的 Python 第三方库依赖：numpy, opencv-python, pillow,easygui, rich本项目使用了React框架（非项目构建，只是运行时Babel）教程Buildpython setup.py bdist_wheel调试请运行 color_theme_analyse.py这是为 Windows 平台专门开发的，无法在 Linux 中获得完美体验，同时可能存在部分兼容问题FeatureCustomizestr(hex(k))[-2:].replace('x', '0').upper()本demo处理结果由RGB转为16进制，可根据需要不转换或者转为其他颜色表达形式。MMCQ(d, 5)本demo默认颜色主题为5个颜色，可根据需要减少或者增加（注意：主题色越多，分析速度越慢）。本demo限制一次最多处理1020图片，不建议修改，更多图片分批次处理即可Schemeembed 版本：Pillow 更换为嵌入版本，Numpy, rich 改为动态引用，弃用 OpenCV-Python
Package: color-tol
# color_tol: Colour maps for analysisThis Python package is meant to complement the wonderful work by [Cynthia Brewer](http://colorbrewer2.org/), using the work of [Paul Tol](https://personal.sron.nl/~pault/), where he introduced a very rigorous set of colors that were clearly identifyable for those with or without color-blindness. [His work](https://personal.sron.nl/~pault/colourschemes.pdf) can also be found under thedocsfolder of this package.## UseThree different color maps - qualitative, sequential, and diverging - are available, either in RGB or HTML codes.To access any of them, you call the functionsqualitative(<number>)sequential(<number>)diverging(<number>)where the<number>represents the number of colors you wish.E.g.,>>> my_map = qualitative(7)
>>> my_map.html_colors
['#332288', '#88CCEE', '#44AA99', '#117733', '#DDCC77', '#CC6677', '#AA4499']>>> my_map.rgb_colors
[(51, 34, 136), (136, 204, 238), (68, 170, 153), (17, 119, 51), (221, 204, 119), (204, 102, 119), (170, 68, 153)]
Package: colortool
colortoolset of tools to work with different color formatsinstall frompypipipinstallcolortoolexamples>>>fromcolortoolimportColorconvert color to different formats>>>green=Color.from_hex(0x00FF00)>>>green.css_hex'#00FF00'>>>green.rgb_int(0,255,0)>>>green.rgb_float(0.0,1.0,0.0)>>>green.hsl(0.33333333333333,1.0,0.5)create color from different formats>>>Color.from_css_hex('#00FF00')Color(0x00FF00)>>>Color.from_rgb_int((0,255,0))Color(0x00FF00)>>>Color.from_rgb_float((0.0,1.0,0.0))Color(0x00FF00)>>>Color.from_hsl((0.3333333333333333,1.0,0.5))Color(0x00FF00)rgba colors>>>Color.from_rgba_int_float((0,255,0,0.5))Color(0x00FF00,alpha=0.5)>>>Color.from_rgba_int_float((0,255,0,0.5)).css_rgb'rgba(0, 255, 0, 0.5)'### convert RGBA color on RGB background to RGB color>>>Color.from_background_and_color_alpha(...background=Color(0x00FF00),...color=Color(0x000000,alpha=0.5),...)Color(0x007F00)make color darker or lighter>>>green.darker(ratio=0.5)# lightness = lightness * ratioColor(0x007F00)>>>green.lighter(ratio=0.5)# lightness = lightness + (1 - lightness) * ratioColor(0x7FFF7F)determine the font color to be either black or white depending on the background color>>>white=Color(0xFFFFFF)>>>black=Color(0x000000)>>>white.font_color()Color(0x000000)>>>black.font_color()Color(0xFFFFFF)>>>green.font_color()Color(0x000000)also return darker variation of color if it is really light (see same css-tricks article)>>>green.font_border_colors()(Color(0x000000),Color(0x00FF00))
Package: colortools
The :mod:`colortools` defines a :cls:`Color` object that can be used torepresent and manipulate colors in various contexts. It was created with the:mod:`FGAme` game engine, but it can also be used in other contexts such asarts and web applications.Colors can be initialized from the RGB/RGBA components, in which each componentis in the 0-255 range.>>> w1 = Color(255, 255, 255)>>> w2 = Color(255, 255, 255, 255)>>> w1 == w2TrueThe constructor also accepts color names, hex strings or hex numbers.>>> Color('white') == Color('#FFF') == Color(0xffffff) == Color(255, 255, 255)TrueAll names in CSS3.0 are accepted (see the complete list `here<http://www.w3.org/TR/css3-color/#svg-color>`).It is worth noting that although the *G* in RGB stands for green, the colorwith a full green value is called *lime*, while "green" is **#008000** rather than**#00FF00**.Usage and API-------------Color objects are immutable and behave like a tuple of 4 values.>>> list(Color('green'))[0, 80, 0, 255]It also exposes several different representations of a color using theappropriate attribute.>>> blue = Color('blue')>>> blue.rbg(255, 0, 0)>>> blue.rgbf(1.0, 0.0, 0.0)>>> blue.rgbu16711680Color objects also implement a few useful transformations>>> blue.darken(0.1)  # darken by 10%Color(229, 0, 0)
Package: color-tools
color_tools: text colorcolor_tools is a Python library Color formatting for output in terminal.InstallationThe code is packaged for PyPI, so that the installation consists in running:pipinstallcolor-toolsUsagefrom termcolor import colored, cprint

text = colored('Hello, World!', 'red', attrs=['reverse', 'blink'])
print(text)
cprint('Hello, World!', 'green', 'on_red')Terminal properties============ ======= ==== ========= ========== ======= =========
Terminal     bold    dark underline blink      reverse concealed
------------ ------- ---- --------- ---------- ------- ---------
xterm        yes     no   yes       bold       yes     yes
linux        yes     yes  bold      yes        yes     no
rxvt         yes     no   yes       bold/black yes     no
dtterm       yes     yes  yes       reverse    yes     yes
teraterm     reverse no   yes       rev/red    yes     no
aixterm      normal  no   yes       no         yes     yes
PuTTY        color   no   yes       no         yes     no
Windows      no      no   no        no         yes     no
Cygwin SSH   yes     no   color     color      color   yes
Mac Terminal yes     no   yes       yes        yes     yes
============ ======= ==== ========= ========== ======= =========LicenseApache License 2.0.New features v1.0BugFixchoco install visualcpp-build-toolsReferenceJonathan Quizagithub.Jonathan QuizaRumiMLSpark.Jonathan Quizalinkedin.
Package: colortools-lentolen
colortoolsPython package for common color conversions and operationsTable of ContentsDescriptionFeaturesQuickstartDocumentationLicenseDescriptionPython package for conversions between common color representations like RGB and HEX and color comparisons using CIE formulas.FeaturesConversion between common color representationsRGBHEXCMYKHSLHSVLABXYZColor NameColor difference calculation (Delta E)measure of the perceptual difference between two colorsDelta E (ΔE) CIE76 FormulaDelta E (ΔE) CIE94 FormulaDelta E (ΔE) CIEDE2000 FormulaQuickstartInstallationTo install from PyPI with pip:$python-mpipinstallcolortools-lentolenExample usage:Using colortools in a Python script to calculate the CIEDE200 difference between two hex colors.fromcolortoolsimportcolor_utilscolor1=color_utils.hex_to_rgb("#ddf4ee")color2=color_utils.hex_to_rgb("#88bfb1")deltaE=color_utils.ciede2000_rgb(color1,color2)Documentationall color models are represented as tuples except hex codes: e.g: (255,255,255)color conversion:syntax example:colortools.color_utils.hex_to_rgb(hex)supported color models: rgb, hex, cmyk, hsl, hsv, lab, xyz, colornameThere are multiple color naming standards availabe: html (standard), html-ger, meodai, x11,color-meanings.com.This is how you can for example use themeodaiGitHub color name collection:colortools.color_utils.hex_to_colorname("#ffffff","meodai")color difference:CIE functions to calculate the Delta E difference between to colors (perceptual difference).ciede2000(lab1, lab2)ciede2000_rgb(rgb1, rgb2)cie76(lab1, lab2)cie76_rgb(rgb1, rgb2)cie94(lab1, lab2)cie94_rgb(rgb1, rgb2)returns Delta E as floatLicensecolortoolsis distributed under the terms of theMITlicense.
Package: color-tracker
Color Tracker - Multi Object TrackerEasy to usemulti object trackingpackage based on colors :art:Installpip install color-trackerpip install git+https://github.com/gaborvecsei/Color-Tracker.gitObject TrackerCheck out theexamples folder, or go straight to thesample tracking appwhich is an extended version of the script below.
This script tracks the red-ish objects, if you'd like to track another color, then start with thehsv_color_detector.pyscript$pythonexamples/tracking.py--helpusage:tracking.py[-h][-lowLOWLOWLOW][-highHIGHHIGHHIGH][-cCONTOUR_AREA][-v]optionalarguments:-h,--helpshowthishelpmessageandexit-lowLOWLOWLOW,--lowLOWLOWLOWLowervaluefortheHSVrange.Default=155,103,82-highHIGHHIGHHIGH,--highHIGHHIGHHIGHHighervaluefortheHSVrange.Default=178,255,255-cCONTOUR_AREA,--contour-areaCONTOUR_AREAMinimumobjectcontourarea.Thiscontrolshowsmallobjectsshouldbedetected.Default=2500-v,--verboseSimple script:importcv2importcolor_trackerdeftracker_callback(t:color_tracker.ColorTracker):cv2.imshow("debug",t.debug_frame)cv2.waitKey(1)tracker=color_tracker.ColorTracker(max_nb_of_objects=1,max_nb_of_points=20,debug=True)tracker.set_tracking_callback(tracker_callback)withcolor_tracker.WebCamera()ascam:# Define your custom Lower and Upper HSV valuestracker.track(cam,[155,103,82],[178,255,255],max_skipped_frames=24)Color Range DetectionThis is a tool which you can use to easily determine the necessaryHSVcolor values and kernel sizes for you appYou can findthe HSV Color Detector code herepythonexamples/hsv_color_detector.pyDonate :coffee:If you feel like it is auseful packageand itsaved you time and effor, then you can donate a coffe for me, so I can keep on staying awake for days :smiley:AboutGábor VecseiWebsitePersonal BlogLinkedInTwitterGithub@misc{vecsei2018colortracker,
      doi = {10.5281/ZENODO.4097717},
      howpublished={\url{https://github.com/gaborvecsei/Color-Tracker}},
      author = {Gabor Vecsei},
      title = {Color Tracker - Multi Object Tracker},
      year = {2018},
      copyright = {MIT License}
}
Package: colortrans
colortransAn implementation of various algorithms for transferring the colors from a reference image to a
content image while preserving the qualitative appearance of the content image (i.e., color
transfer).InstallationRequirementsPython 3.6 or greater (earlier versions may work, but were not tested)Install$pip3installcolortransUpdate$pip3install--upgradecolortransCommand-Line UsageThe program can be used from the command line.The general command line usage is shown below.$colortrans[--methodMETHOD]CONTENTREFERENCEOUTPUTCONTENTis the path to the content image,REFERENCEis the path to the style image, andOUTPUTis the path to save the output image.METHODspecifies the color transfer algorithm. The following methods are supported:lhmLinear Histogram Matching [1] (default)pccmPrincipal Components Color Matching [2, 3]reinhardReinhard et al. [4]If the launcher script was not installed within a directory on your PATH, colortrans can be launched by
passing its module name to Python.$python3-mcolortrans[--methodMETHOD]CONTENTREFERENCEOUTPUTLibrary UsageThe algorithms can also be used directly from Python programs. Each of the methods listed above has
a corresponding function,transfer_METHOD, taking two NumPy arrays corresponding to the content
and reference image, respectively. The arrays haveHxWxCdata ordering (channels-last).ExampleimportcolortransimportnumpyasnpfromPILimportImage# Load datacontent=np.array(Image.open('/path/to/content.jpg').convert('RGB'))reference=np.array(Image.open('/path/to/reference.jpg').convert('RGB'))# Transfer colors using different algorithmsoutput_lhm=colortrans.transfer_lhm(content,reference)output_pccm=colortrans.transfer_pccm(content,reference)output_reinhard=colortrans.transfer_reinhard(content,reference)# Save outputsImage.fromarray(output_lhm).save('/path/to/output_lhm.jpg')Image.fromarray(output_pccm).save('/path/to/output_pccm.jpg')Image.fromarray(output_reinhard).save('/path/to/output_reinhard.jpg')References[1] Hertzmann, Aaron. "Algorithms for Rendering in Artistic Styles." Ph.D., New York University,
2001.[2] Kotera, Hiroaki, Hung-Shing Chen, and Tetsuro Morimoto. "Object-to-Object Color Mapping by Image
Segmentation." In Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV,
3648:148–57. SPIE, 1998.[3] Kotera, Hiroaki. "A Scene-Referred Color Transfer for Pleasant Imaging on Display." In IEEE
International Conference on Image Processing 2005, 2:II–5, 2005.[4] Reinhard, Erik, Michael Adhikhmin, Bruce Gooch, and Peter Shirley. "Color Transfer between
Images." IEEE Computer Graphics and Applications 21, no. 5 (July 2001): 34–41.
Package: colortree
colortree is a library that makes it easier to use colors in a terminal.— Developed by DevTree Studios
— Programmed in Python 3.9
— 2023
— May not work in all terminalsCHANGELOG0.0.1 (2/26/2023)Released colortree0.0.2 (2/26/2023)Bux fixes0.0.3 (2/26/2023)Added new function0.0.4 (2/26/2023)Bug fixesAdded easier import methodsIncreased simplicity0.0.5 (2/26/2023)Bug fixes
Package: colortuple
The module also contains lots of named colors, e.g. SeaGreen = Color(1, 2, 3),
taken from the xkcd color survey.DependenciesAny operating system. Tested on Python 2.7, but ought to work on 3.x.
No other dependencies.Installpip install colortupleKnown ProblemsNone.ThanksRaymond Hettinger for named tuples.ContactDocumentation & download:http://pypi.python.org/pypi/colortuple/Souce code and issues:https://github.com/tartley/colortuple/Contact the author:Jonathan Hartley, email: tartley at domain tartley.com, Twitter: @tartley.