Saravanan666/pypi-org huggingface dataset:
Package: image-processing-analysis
Pacote de processamento de imagens em Pythonimage_processingDescription.
The package image_processing is used to:
Processing:
- Histogram matching
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogrampython -m pip install --upgrade pip
 python -m pip install --user twine
 python -m pip install --user setuptoolsComandos para criar distribuiÃ§Ãµes
python setup.py sdist bdist_wheelInstallationUse the package managerpipto install package_namepipinstallpackage_nameAuthorEmeson Borges
Package: image-processing-barbara
image_processingDescription.
The package image_processing can be used to:
Processing images:
- Histrogram matching
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install package_name***bash
pip install image_processingAuthorKarinaLicenseMIT
Package: image-processing-brb
image_processingDescriÃ§Ã£o: pacote de exemplo para aprendizado do empacotamento de pacotes de mÃ³dulos.InstalaÃ§Ã£o: Utilize o gerenciador de pacotes pip para instalar o pacote.UtilizaÃ§Ã£o:from image_processing.processing import combinationfrom image_processing.processing import transformationfrom image_processing.utils import iofrom image_processing.utils import plotAutor:Bruno Rigueti BrandÃ£o
Package: image-processing-burato
Projeto feito por KarinaEsse Ã© um projeto dadigital innovation oneimage_processingDescription.
The package image_processing is used to:
Processing:
- Match histogram
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogrampypihttps://pypi.org/project/image-processing-burato/InstallationUse the package managerpipto install image-processing-buratopipinstallimage-processing-buratoAuthorKarinaLicenseMIT
Package: image-processing-by-cbcj
package_nameDescription.
The package package_name is used to:
Processing:
- Histrogram watching
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install package_namepipinstallpackage_nameAuthorCleber BianchiLicenseMIT
Package: image-processing-bymacrosann
Projeto: Pacote de Processamento de ImagensEsse projeto Ã© parte integrante de:**[Bootcamp GeraÃ§Ã£o Tech Unimed-BH - CiÃªncia de Dados]Instutor(a):Autor(a) do Projeto / Instrutor(a):Karina Kato-Digital Innovation One.Aula:Descomplicando a criaÃ§Ã£o de pacotes de processamento de imagens em PythonTecnologia(s):PythonDescriÃ§Ã£o:O pacote "image_processing" Ã© usado para:MÃ³dulo "processing":CorrespondÃªncia de histograma;Redimensionar imagem;Similaridade estrutural;MÃ³dulo "utils":Ler imagem;Plotar histograma;Plotar imagem;Resultado do grÃ¡fico;Salvar imagem;Preparando o pacote para o deployPreparando o ambiente:py -m pip install --upgrade pip
py -m pip install --user twine
py -m pip install --user setuptools
py -m pip install --user wheelCertifique-se de estar no mesmo diretÃ³rio do arquivo"setup.py"e entÃ£o execute:C:\Projetos\Python\Development\Packages\image-processing-package> py setup.py sdist bdist_wheelApÃ³s executar o comando a priori, verifique se as pastas abaixo foram devidamente criadas:build;dist;image_processing.egg-infoPasso a passo para hospedar um pacote em Python no ambiente Test PypiSuba os arquivos usando o Twine para o Test Pypi:py -m twine upload --repository-url https://test.pypi.org/legacy/ dist/*Informe seu usuÃ¡rio e senha. Feito isso, o projeto estarÃ¡ hospedado no Test Pypi.Passo a passo para hospedar um pacote em Python no ambiente PypiSuba os arquivos usando o Twine para o Pypi:py -m twine upload --repository-url https://upload.pypi.org/legacy/ dist/*Informe seu usuÃ¡rio e senha. Feito isso, o projeto estarÃ¡ hospedado no Pypi.InstalaÃ§Ã£o local utilizando o ambiente de teste do PypiInstalÃ§Ã£o das dependÃªncias:pipinstall-rrequeriments.txtInstalaÃ§Ã£o do pacotepipinstall-ihttps://test.pypi.org/simple/image-processing-bymacrosannInstalaÃ§Ã£o local utilizando o ambiente de produÃ§Ã£o do PypiInstalaÃ§Ã£o do pacotepipinstallimage-processing-bymacrosannNota:NÃ£o efetuei o deploy em produÃ§Ã£o para evitar repetiÃ§Ã£o de n pacotes duplicados com mesma finalidade.Utilizando o pacoteCarregue os submÃ³dulos:fromimage-processing-bymacrosann.utilsimportio,plotfromimage-processing-bymacrosann.processingimportcombination,tranformationcombination.find_difference(image1,image2)ObservaÃ§Ã£o: leia asnotasa seguir, no caso essa parte refere-se a quem realizou o deploy noambiente Test Pypi.Notas:O pacote foi criado pelaKarina KatoLicenseMITLinks ÃšteisInscreva-se na DioDealing with dependency conflictsPackaging Python ProjectsWhy am I getting a "Invalid or non-existent authentication information." error when uploading files?Why isn't my desired project name available?
Package: image-processing-cesarhvb
Image Processing CesarDescription.
The package Image Processing Cesar is used to:
Processing: - Histogram matching - Structural similarity - Resize image
Utils: - Read image - Save image - Plot image - Plot result - Plot histogramInstallationUse the package managerpipto install package_namepipinstallimage_processing_cesarhvbUsagefrompackage_name.module1_nameimportfile1_namefile1_name.my_function()AuthorCÃ©sar HenriqueLicenseMIT
Package: image-processing-clpe
package_nameDescription.
The package package_name is used to:
Processing:
- Histogram matching
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install image_processing_pipinstallimage_processing_clpeAuthorCarlos_EduardoLicenseMIT
Package: image-processing-DIO
package_nameDescription.
The package image-processing-DIO is used to:Processing:

	- Histogram matching
	- Structural similarity
	- Resize image
Utils:

	- Read image
	- Save image
	- Plot image
	- Plot result
	- Plot histogramInstallationUse the package managerpipto install image-processing-DIOpipinstallimage-processing-DIOUsagefromimage-processing-DIO.processingimportcombinationcombination.find_difference()AuthorErnestoLicenseMIT
Package: image-processing-dp
image_processing_dpDescription.
The package image_processing_dp is used to:
Processing:
- Histogram matching
- Structural similarity
- Resize imageUtils:
	- Read image
	- Save image
	- Plot image
	- Plot result
	- Plot histogramInstallationUse the package managerpipto install image_processing_dppipinstallimage_processing_dpAuthorDanillo de Souza PereiraLicenseMIT
Package: image-processing-egg
ImageProcessing 🥚Provides higher-level image processing helpers that are commonly needed when handling image uploads.This package process images with thelibvipslibrary.
Libvips is a library that can process imagesvery rapidly(often multiple times faster than ImageMagick).RequirementsYou need to install first thelibvipslibrary.In a MacOS terminal (using Homebrew) run:brew install vipsIn a Debian/Ubuntu terminal run:sudo apt install libvips-toolsInstallationInstall this library with pip, or add it to your requirements/dependencies:pipinstallimage-processing-eggUsageProcessing is performed through theImageProcessingclass that
uses a chainable API for defining the processing pipeline:fromimage_processingimportImageProcessingprocessed=(ImageProcessing(source_path).resize_to_limit(400,400).convert("png").save())processed#=> /temp/.../20180316-18446-1j247h6.png>This allows easy branching when generating multiple derivates:fromimage_processingimportImageProcessingpipeline=ImageProcessing(source_path).convert("png")large=pipeline.resize_to_limit(800,800).save()medium=pipeline.resize_to_limit(500,500).save()small=pipeline.resize_to_limit(300,300).save()The processing is executed withsave().processed=ImageProcessing(source_path)\.convert("png")\.resize_to_limit(400,400)\.save()You can inspect the pipeline options at any point before executing it:pipeline=ImageProcessing(source_path)\.loader(page=1)\.convert("png")\.resize_to_limit(400,400)\.strip()pipeline.options# => {#  'source': '/path/to/source.jpg',#  'loader': {'page': 1},#  'saver': {},#  'format': 'png',#  'operations': [#    ['resize_to_limit', [400, 400], {}],#    ['strip', [], {}],#   ]# }The source object needs to be a string or aPath.
Note that the processed file is always saved to a new location,
in-place processing is not supported.ImageProcessing("source.jpg")ImageProcessing(Path("source.jpg"))You can define the source at any time usingsource()ImageProcessing().source("source.jpg")ImageProcessing().source(Path("source.jpg"))Whensave()is called without options, the result of processing is a temp file. You can save the processing result to a specific location by passing adestination, as a string or a Path, tosave().pipeline=ImageProcessing(source_path)pipeline.save()#=> tempfilepipeline.save("/path/to/destination")CreditsThis library is a port to Python of the Rubyimage_processing gem.LicenseMIT
Package: image-processing-exercise
Projeto: CriaÃ§Ã£o de pacote de Processamento de ImagensDescriÃ§Ã£o: O pacote image_processing-test1 Ã© usado para:Processing:
	- CorrespondÃªncia de histograma
	- SemelhanÃ§a estrutural
	- Redimensionar imagem
Utils:
	- Ler imagem
	- Salvar imagem
	- Plotar imagem
	- Resultado da plotagem
	- Plotar histogramaOverview (template)Este Ã© um overview do que faremos:Fonte: Karina Kato - Machine Learning Engineer/Machine Learning Tech Lead - TakePasso a passo1. Criar um projetoVocÃª pode realizar um fork deste projeto para utilizÃ¡-lo como modelo. Ele jÃ¡ segue a organizaÃ§Ã£o da imagem apresentada acima.2. Editar os arquivos "setup.py", "requirements.txt" e "README.md"ApÃ³s criado o projeto e editado os arquivos "setup.py", "requirements.txt" e "README.md" Ã© necessÃ¡rio gerar as distribuiÃ§Ãµes "wheel" e "sdist".
Para isso, vocÃª deve:3. Acessar a raiz do seu projetoAcesse a raiz do seu projeto para aplicar os prÃ³ximos passos.4. Aplicar os comandos de instalaÃ§Ã£oNo seu terminal, aplique os seguintes comandos:python-mpipinstall--upgradepippython-mpipinstall--usertwinepython-mpipinstall--usersetuptoolspipinstallwheel5. Aplicar o comando para criar a distribuiÃ§Ã£oCrie a distribuiÃ§Ã£o, aplicando o seguinte comando:pythonsetup.pysdistbdist_wheel6. Publicar pacoteRealizada as etapas anteriores com Ãªxito, o prÃ³ximo passo Ã© a publicaÃ§Ã£o do pacote.
VocÃª precisa ter uma conta no Test Pypi e no Pypi para realizar essa etapa. A seguir os links:https://test.pypi.org/account/register/https://pypi.org/account/register/Test Pypi6.1. Primeiro, publique no Teste Pypi, aplicando o seguinte comando:python-mtwineupload--repository-urlhttps://test.pypi.org/legacy/dist/*6.2. Agora, instale o pacote de teste:pipinstall-ihttps://test.pypi.org/simple/image-processing-test1Pypi6.3. Com tudo testado, Ã© hora de publicar o pacote no Pypi:python-mtwineupload--repository-urlhttps://upload.pypi.org/legacy/dist/*6.4. Instale o pacote publicado:Utilize o gerenciador de pacotespippara instalar image_processing-test1pipinstallimage-processing-test1AutorProjeto original: by Karina KatoEste exercÃ­cio: by Tiago de Freitas FaustinoEste projeto tem o objetivo apenas de exercitar a criaÃ§Ã£o publicaÃ§Ã£o e utilizaÃ§Ã£o de pacotes.
Para este fim, como ainda nÃ£o tenho um projeto prÃ³prio, foram realizados apenas pequenos
ajustes no projeto original de Karina Kato.LicenÃ§aMIT
Package: image-processing-furai
image_processingDescription.
The package package_name is used to:Processing:
	- Histogram matching
	- Structural similarity
	- Resize image
Utils:
	- Read image
	- Save image
	- Plot image
	- Plot results
	- Plot histogramInstallationUse the package managerpipto install package_namepipinstallimage_processingUsagefrompackage_name.module1_nameimportfile1_namefile1_name.my_function()AuthorFuraimeLicenseMIT
Package: image-processing-ge
package_nameDescription.
The package package_name is used to:
Processing:
- Histogram marching
- Structural Similarity
- Risize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install package_namepipinstallimage_processing_geUsagefrompackage_name.module1_nameimportfile1_namefile1_name.my_function()AuthorGustavo EllwangerLicenseMIT
Package: image-processing-ghf-package
Desafio Unimed BH: Pacote de Processamento de ImagensDescriÃ§Ã£oEsse projeto consiste na criaÃ§Ã£o de um pacote para python, com base no curso ministrado por Karina Kato no bootcamp de ciÃªncia de dados da Unimed-BH.Pacote de exemplo, baseado noscikit-imagePassos para a hospedagem no PypiPrimeiro se realiza uma instalaÃ§Ã£o ou upgrade dopip,twine,setuptoolsewheelpython -m pip install --upgrade pip
python -m pip install --user twine
python -m pip install --user setuptools
python -m pip install --user wheelCria-se as distribuiÃ§Ãµespython setup.py sdist bdist_wheelSerÃ£o criadas 3 pastas no projeto:builddistimage_processing_package.egg-infoO prÃ³ximo passo Ã© o upload no Test Pypi.python -m twine upload --repository-urlhttps://test.pypi.org/legacy/dist/*O comando para upload no Pypi Ã©:python -m twine upload --repository-urlhttps://upload.pypi.org/legacy/dist/*InstalaÃ§Ã£oPara a instalaÃ§Ã£o local, Ã© necessÃ¡rio instalar os requerimentos primeiro.pip install -r requirements.txtPara a instalaÃ§Ã£o do pacote, basta usar opipdirecionando para o image-processing-ghf-packagepipinstallimage-processing-ghf-package==0.0.1UsoBasta importar os mÃ³dulos de acordo com o que desejafromimage-processing-ghf-package.processingimporttransformationtransformation.resize_image(image_test,0.5)AutorGeraldo Henrique FonsecaLicenÃ§aMIT
Package: image-processing-hg
Image-Processing-HGDescriptionEste projeto Ã© um fork do projeto desenvolvido no Bootcamp Cognizant Cloud Data Engineer 2, modulo apresentado pela desenvolvedora karina Kato. 

Este package consiste na reproduÃ§Ã£o de um pacote de processamento de imagens em python e sua publicaÃ§Ã£o utilizando o Pypi.The package image-processing-hg is used to:Processing:
	- Histogram matching
	- Structural similarity
	- Resize image

Utils:
	- Read image
	- Save image
	- Plot image
	- Plot result
	- Plot histogramInstallationUse the package managerpipto install image_processingpipinstallimage-processing-hgUsagefromimage-processing-hg.processingimporttransformationtransformation.resize_image()AuthorHuguemberg M.
by Karina KatoLicenseMIT
Package: image-processing-img
image_processing_imgDescription The package image_processing_img is used to:Processing:

	- Histogram matching
	- Strutural similarity
	- Resize image

Utils:

	-Read image
	-Save image
	-Plot image
	-Plot result
	-Plot histogramInstallationUse the package managerpipto install package_namepipinstallimage_processing_imgAuthorFlayson Junio Pereira SantosGithubLinkedinLicenseMIT
Package: image-processing-jonasbrito92
image_processing_jonasbrito92Description.
The package image_processing is used to:
Processing:
- Histogram matching
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install image_processing_jonasbrito92pipinstallimage_processing_jonasbrito92AuthorJonas BritoLicenseMIT
Package: image-processing-JvCodeBR
package_nameDescription.
The package package_name is used to:
Processing:
- Histogram matching
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install package_namepipinstallimage_processingAuthorJoÃ£o SantosLicenseMIT
Package: image-processing-KB
image_processing_KBThe package image_processing_KB is used to perform:Rgb2YiqYiq2RgbRgbNegativeYNegativeCorrelationRgb2hsbHsb2rgbSaturationInstallationUse the package managerpipto install image_processing_KBpipinstallimage_processing_KBUsageimportmatplotlib.pyplotaspltfromimage_processing_KB.processingimportfunctionsimage=functions.open("lena.jpg")result=functions.correlation(image,3,3,"sobelV",0,True)plt.imshow(result)plt.show()AuthorKelvin BrenandLicenseMIT
Package: image-processing-ld-01
package_nameDescription.
The package image_processing is used to:
Processing:
- Histogram matching
- Structurall similarity
- Resize image
Utills:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install package_namepipinstall-ihttps://test.pypi.org/simple/image-processing-ldAuthorLucas DionisioLicenseMIT
Package: image-processing-lib
OverviewThis Python module provides utility functions for various image processing tasks, such as image conversion, display, normalization, and enhancement. It leverages the power of libraries like cv2 and numpy to handle and manipulate image data.Functionsopen_imgPurpose: Convert the image to a specified color space.Inputs: Image data (or path), desired color space, and data type specifications.Output: Image converted to the specified color space.displayPurpose: Display images with their labels.Inputs: Multiple images and labels, display size and layout specifications.Output: None, this displays the image.normalize_imgPurpose: Normalize an image.Inputs: Image data.Output: Normalized image.flatten_unflattenPurpose: Flatten or reshape an image.Inputs: Image data, operation type (flatten or reshape), and desired shape if reshaping.Output: Flattened or reshaped image.binaryPurpose: Convert an image to a binary format based on a threshold.Inputs: Image data and threshold value.Output: Binarized image.img2blocsPurpose: Split an image into blocks/blocs of a certain size.Inputs: Image data, block size, and padding type.Output: List of blocks/blocs.resize_imgPurpose: Resize an image to the specified dimensions.Inputs: Image data and desired dimensions (width & height).Output: Resized image.rotate_imgPurpose: Rotate an image by a specified angle.Inputs: Image data and rotation angle.Output: Rotated image.enhance_imgPurpose: Enhance an image by adding noise, applying blur, and adjusting contrast.Inputs: Image data, and specifications for noise, blur, and contrast adjustments.Output: Enhanced image.Requirementscv2numpymatplotlibUsageIn order to install the library:pipinstallimage-processing-libTo use it, nothing is more simple:importimage_processing.functionsasip# Load an imageimage=ip.open_img('PATH_TO_THE_IMAGE','GRAY')# Use any of the provided functionsprocessed_image=FUNCTION_NAME(image,...other_args)ContributionFeel free to fork this module and contribute by submitting a pull request. Ensure any new features or changes are well-documented and include relevant tests.
Package: image-processing-lm
image_processingDescription.
The package image_processing is used to:
Processing:
- Histogram matching;
- Structural similarity;
- Resize Image.
Utils:
- Read Image;
- Save Iamge,
- Plot image;
- Plot result;
- Plot histogram.InstallationUse the package managerpipto install package_namepipinstallimage-processingAuthorLucas MeloLicenseMIT
Package: image-processing-louise
Desafio ImagensDescription.
The package package_name is used to:
Processing:
- Histogram matching
- Structural similarity
- Resize imageUtils:
	- Read image
	- Save image
	- Plot image
	- Plot result
	- Plot histogramInstallationUse the package managerpipto install package_namepipinstallpackage_nameAuthorLouise Pereira das NevesLicenseMIT
Package: image-processing-mila
image processingDescription
The package image_processing is used to:
Processing:
- Histogram matching
- Structural similary
- Resize Image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install package_name'''bach
pip install image_processing
'''AuthorMilena SvitrasLicence
Package: image-processing-mmc
image_processing_mmcDescription.
The package image_processing_dio is used to:
Processing:
- Histogram matching
- Structural similarity
- Resized image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install image_processing_diopipinstallimage_processing_mmcAuthormonicacaetanoLicenseMIT
Package: image-processing-M-teste
Pacote de Processamento de ImagensAutora: Karina KatoAula: Descomplicando a CriaÃ§Ã£o de Pacotes de Processamento de Imagens em PythonDescription.O pacote "image_processing" Ã© usado para:MÃ³dulo "Processing":-> CorrespondÃªncia de histograma;-> Similaridade estrutural;-> Redimensionar imagem;MÃ³dulo "Utils":-> Ler imagem;-> Salvar imagem;-> Plotar imagem;-> Resultado do grÃ¡fico;-> Plotar histograma;InstallationPasso a passo da configuraÃ§Ã£o para hospedar um pacote em Python no ambiente de testes Test PypiInstalaÃ§Ã£o das Ãºltimas versÃµes de "setuptools" e "wheel"py -m pip install --user --upgrade setuptools wheelTenha certeza que o diretÃ³rio no terminal seja o mesmo do arquivo "setup.py"C:\Users\Marcelo\PycharmProjects\pacote-de-processamento-de-imagens> py setup.py sdist bdist_wheelApÃ³s completar a instalaÃ§Ã£o, verifique se as pastas abaixo foram adicionadas ao projeto:build;dist;image_processing_test.egg-info.Basta subir os arquivos, usando o Twine, para o Test Pypi:py -m twine upload --repository testpypi dist/*ApÃ³s rodar o comando acima no terminal, serÃ¡ pedido para inserir o usuÃ¡rio e senha. Feito isso, o projeto estarÃ¡ hospedado no Test Pypi.hospedÃ¡-lo no Pypi diretamente.Aqui o objetivo nÃ£o Ã© utilizar o projeto da Karina para postar em meu perfil do Pypi pessoal, visto que o projeto Ã© dela. Ainda nÃ£o tenho nenhum projeto que possa ser utilizado como pacote.
No entanto, tenha em mente que o Test Pypi, como o prÃ³prio nome diz, Ã© apenas um ambiente de testes. Para que o projeto esteja disponÃ­vel como um pacote para ser usado publicamente, Ã© necessÃ¡rio hospedÃ¡-lo no site oficial do Pypi.InstalaÃ§Ã£o local, apÃ³s hospedagem no Test PypiInstalaÃ§Ã£o de dependÃªnciaspip install -r requirements.txtInstalÃ§Ã£o do PacoteUse o gerenciador de pacotespip install -i https://test.pypi.org/simple/ image-processing-M-teste==0.0.1]para instalar image_processing-testpip install image-processing-M-testeComo usar em qualquer projetofromimage_processing_M_teste.processingimportcombinationcombination.find_difference(image1,image2)Author (quem hospedou o projeto no Test Pypi)Marcelo MandlerLicenseMIT
Package: image-processing-ofc
Image Processing PackageRenoir SampaioDigital Innovation OneCriaÃ§Ã£o de pacotes de processamento de imagens em Python28/08/2020Description.The package image_processing_ofc is used to:Processing:Histogram matching;Structural similarity;Resize image;Utils:Read image;Save image;Plot image;Plot result;Plot histogram;InstallationUse the package managerpipto install image_processing_ofcpipinstallimage_processing_ofcUsagefromimage_processing_ofc.module1_nameimportfile1_namefile1_name.my_function()AuthorRenoir SampaioLicenseMIT
Package: image-processing-on
image_processing_onDescription.
The package image_processing_on is used to:
Processing:
- Histogram matching
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install package_namepip install image_processing_onAuthorMaison HenriqueLicenseMIT
Package: image-processing-package
image_processing_packageDescription.
The package image_processing_package is used to:
Processing
- Histogram matching
- Structural similarity
Utils:
- Read Image
- Save Image
_ Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install image_processing_packagepipinstallimage_processing_packageAuthorJucicaral PiresLicenseMIT
Package: image-processing-package-csrdev2
Image_processingDescription.
The package image_processing is udes to:
Processing:
- Histrogram matching
- Structural similarity
- Resize image
Utils:
- Read image
- Save image
- Plot image
- Plot result
- Plot histogramInstallationUse the package managerpipto install package_namepipinstallimage-processing-packageAuthorCharlly RibeiroLicenseMIT