Saravanan666/pypi-org huggingface dataset:
Package: image-shrinker
image-shrinkerGo directly to theDOCUMENTATION.DescriptionYup, you guessed right, it shrinks images.
Use it before committing large image files into git and/or using large image files on a website.image-shrinkerwas built to scratch my own itch.
You might have the same itch.I needed a no-brainer command I could quickly run on the source files of my website(s).It would shrink large image files before I committed them to git ... and before I would
deploy them on my website.It wouldn't require me to remember which directories need what kind of shrinking.For example, that images in myimg/thumbnailsdirectory needed to shrink to width=100But that images in myimg/photos/carouselneeded to shrink to height=300
so that they were all the same height on my home page's rotating photo carousel.I wanted to run the command only once and have it handle multiple shrink cases.I wanted all my shrinking requirements specified in a file in my repository
version-controlled and in sync with the rest of my source files.Easy peasy(no, I hate that phrase)image-shrinkerhappens to be written in Python,
but you do not need to be a Python programmer to use it.DocumentationFor instructions on how to install and useimage-shrinker,
seeimage-shrinker.readthedocs.io.SupportTry opening an issueHERE.
No promises on any level of service. Best efforts only.
The code is really simple. Any Python developer should be able to help you.ContributingContributions will be considered.AcknowledgmentThanks toPillow, the Python Image Library.
It does all the hard work of shrinking images.LicenseMIT Licensed. SeeLICENSE.Project statusActively but lightly maintained by Don Parakin.
Package: image-shuffler
image-shufflerSplit an image into n-pieces and shuffle it.DownloadYou can simply:pipinstallimage-shufflerOr you can also:Clone the repository to your local machine.Enter the directory.Download necessary modules/libraries.gitclonehttps://github.com/gabrielstork/image-shuffler.gitcdimage-shuffler
pipinstall-rrequirements.txtHow to useFirst you need to import theShufflerclass.fromimage_shufflerimportShufflerThen, instantiate it passing a valid path of an image as its argument.image=Shuffler('lenna.png')Now to actually shuffle it, you need to useshuffle()method. The matrix defines the number of pieces that will be inxandy, in this case, there will be a total of 16 shuffled pieces (you can see it in the image on the top of this file).image.shuffle(matrix=(4,4))You can take a look at the image, using this method a new window will pop up.image.show()No arguments are needed to save the image. It will be saved in the same place and, in this case, withshuffled_lena.pngas its name.image.save()
Package: imagesifter
Easy-to-use package for downloading originals of images from
web sites such as Instagram, Google Images, Flickr etc.Downloadpip install (recomended) :$pipinstallimagesifterGit clone:$gitclonehttps://github.com/HedonistAnt/ImageSifter.gitUsageimportimagesifterimporturllibquote='sifter'quoteURL=urllib.quote(quote)url='http://images.google.com/images?hl=ru&q='+quoteURL+'&sa=N&start=$p&ndsp=20&sout=1'imagesifter.sift_images(url=url,format_list=["jpg","jpeg","png"],download_path='img',size_limit=10000000,count_limit=10)Note:New folder will be created in current directory. Default folder name is “images”. The maximum file size (size_limit) is in bytes.
Package: image-similarity-measures
Image Similarity MeasuresPython package and commandline tool to evaluate the similarity between two images with eight evaluation metrics:Root mean square error (RMSE)Peak signal-to-noise ratio (PSNR)Structural Similarity Index (SSIM)Feature-based similarity index (FSIM)Information theoretic-based Statistic Similarity Measure (ISSM)Signal to reconstruction error ratio (SRE)Spectral angle mapper (SAM)Universal image quality index (UIQ)InstallationSupports Python >=3.8.pipinstallimage-similarity-measuresOptional: For faster evaluation of the FSIM metric, thepyfftwpackage is required, install via:pipinstallimage-similarity-measures[speedups]Optional: For reading TIFF images withrasterioinstead ofOpenCV, install:pipinstallimage-similarity-measures[rasterio]Usage on commandlineTo evaluate the similarity beteween two images, run on the commandline:image-similarity-measures--org_img_path=a.tif--pred_img_path=b.tifNotethat images that are used for evaluation should bechannel last. The results are printed in
machine-readable JSON, so you can redirect the output of the command into a file.Parameters--org_img_path FILE   Path to original input image
  --pred_img_path FILE  Path to predicted image
  --metric METRIC       select an evaluation metric (fsim, issm, psnr, rmse,
                        sam, sre, ssim, uiq, all) (can be repeated)Usage in Pythonfromimage_similarity_measures.evaluateimportevaluation

evaluation(org_img_path="example/lafayette_org.tif",pred_img_path="example/lafayette_pred.tif",metrics=["rmse","psnr"])fromimage_similarity_measures.quality_metricsimportrmse

rmse(org_img=np.random.rand(3,2,1),pred_img=np.random.rand(3,2,1))ContributeContributions are welcome! Please see README-dev.md for instructions.CitationPlease use the following for citation purposes of this codebase:Müller, M. U., Ekhtiari, N., Almeida, R. M., and Rieke, C.: SUPER-RESOLUTION OF MULTISPECTRAL
SATELLITE IMAGES USING CONVOLUTIONAL NEURAL NETWORKS, ISPRS Ann. Photogramm. Remote Sens.
Spatial Inf. Sci., V-1-2020, 33–40,https://doi.org/10.5194/isprs-annals-V-1-2020-33-2020, 2020.
Package: images-into-array
Convert-Images-Into-Array:Convert Multiple Images into a Array and Different Color Spaces into a Array.Package Installation  :pip install images-into-arrayPackage LinkConvert-Images-Into-Array:Convert Multiple Images into a Array and Different Color Spaces into a Array.This package fuction requres three argument one is path of the images folder and other is image_height and image_width.OpenCV Document :OpenCV DocumentHow to import the module:images_path=('')image_height='Enter The Image Size [32, 64, 128]'image_width='Enter The Image Size [32, 64, 128]'NORMAL :fromimages_into_array.images_into_arrayimportimagesarray=images(images_path,image_height,image_width)print(array.shape)RGB ↔ GRAY :fromimages_into_array.images_into_arrayimportrgb_graygray=rgb_gray(images_path,image_height,image_width)print(gray.shape)RGB ↔ CIE Lab* :fromimages_into_array.images_into_arrayimportrgb_lablav=rgb_lab(images_path,image_height,image_width)print(lav.shape)RGB ↔ HLS :fromimages_into_array.images_into_arrayimportrgb_hlshls=rgb_hls(images_path,image_height,image_width)print(hls.shape)RGB ↔ CIE Luv* :fromimages_into_array.images_into_arrayimportrgb_luvluv=rgb_luv(images_path,image_height,image_width)print(luv.shape)RGB ↔ HSV :fromimages_into_array.images_into_arrayimportrgb_hsvhsv=rgb_hsv(images_path,image_height,image_width)print(hsv.shape)RGB ↔ YCrCb JPEG (or YCC) :fromimages_into_array.images_into_arrayimportrgb_ycrcbycrcb=rgb_ycrcb(images_path,image_height,image_width)print(ycrcb.shape)Required package’s:• conda install -c conda-forge opencv=4.2.0

• pip install shuffle

• pip install numpy

• pip install tqdmLicense:MIT LicensedAuthor:Sujit MandalGitHubPyPiLinkedIn
Package: imageSizeReducer
Image Size ReducerImage Size Reducer is a package created for reducing image size for fast uploading and processing.StepsSpecify image pathSpecify quality 1-100Specify path where you want to saveInstallationImage Size Reducer requirespython3to run.pipinstallimageSizeReducerUsageImage Size ReducerfromimageSizeReducerimportimageSizeReduceractualImage="path/to/img.jpg"pathToSave="path/to/img.jpg"quality=95imageSizeReducer.resize(actualImage,quality,pathToSave)# output - {'message': 'successfully completed image resize', 'actual-image-path': '/home/bramhesh/Downloads/20.jpg', 'quality-specified': 50, 'path-to-image': '/home/bramhesh/20.jpg'}# output - {'message': 'image resize process failed', 'error': FileNotFoundError(2, 'No such file or directory'), 'actual-image-path': '/home/bramhesh/Downloads/2.jpg', 'quality-specified': 50, 'path-to-image': '/home/bramhesh/20.jpg'}# output - {'message': 'image resize process failed', 'error': ValueError('unknown file extension: '), 'actual-image-path': '/home/bramhesh/Downloads/20.jpg', 'quality-specified': '/home/bramhesh/20.jpg', 'path-to-image': 50}
Package: image-slicer
Image SlicerSplitting images into tiles. With Python. Since 2013.InstallationLatest Stable Release:pip install image_slicerCurrent Development Head:pip install git+https://github.com/samdobson/image_slicer.gitQuick StartSlice your images either with the command line utility:$slice-imagecake.png4... or from your Python script:fromimage_slicerimportsliceslice('cake.png',4)DocumentationFor full package documentation please visitsamdobson.github.io/image_slicer.DevelopmentSeeCONTRIBUTING.mdfor details.
Package: imagesort
Organize image files by date takenAll tiff and jpg images under the given source directory are placed in the
destination directory under subdirectories with names corresponding to when
they are taken. Files with no or invalid exif metadata are put in theunknowndirectory.The destination directory have the following structure after processing:2013/
    2013_12_20/
        1.jpg
2014/
    2014_03_06/
        2.jpg
        3.jpg
    2014_07_01/
        4.jpg
unknown/
    5.jpgThe original filenames are preserved. If a destination filepath already exist,
there are two possible outcomes:If the old filepath’s content is identical to the new one, the program does
nothing and continues to the next image.If the contents of the old and new files are different, it will append an
integer until the content of an existing file matches or the path does not
already exist. This means that if there are three source files named1.jpgwith identical date metadata but different contents, the final
names will be1.jpg,1-1.jpgand1-2.jpg.InstallationInstall with one of the following commands:$ easy_install imagesortor alternatively if you have pip installed:$ pip install imagesortUsageTypeimagesort-hfor a list of available options.ExamplesCopy images frominputdirtooutputdir:$ imagesort copy inputdir outputdirUse thedry-runflag to see which actions will be performed without
actually doing anything:$ imagesort --dry-run copy inputdir outputdirReplacecopywithmoveorhardlinkto move or hardlink files
instead of copying them.NoteHardlink operation (os.link) is not available on Windows before Python version 3.2.DevelopmentTestingRunning the tests during development requires pytest. Install
dependencies with$ pip install -r requirements.txtand then run tests with$ py.testAlternatively, if you have tox installed, just run tests by running:$ tox
Package: image-sorting-tool
Image Sorting ToolThis is a simple graphical tool to sort media into a structured folder. It is designed primarily for JPG images taken with a camera/phone but will also work with MP4, PNG and GIF media files. It works by finding all files in a chosen source directory (including sub-directories) and then based on the chosen sorting options, copies them into a structured destination.The date-taken for JPG files is extracted from the EXIF data and for all other file formats the filename is used to extract the date-taken. The files destination name will be in format 'yyyymmdd_HHMMSS'. For example '20201225_234532.jpg'
The default output structure is year and month folders. For example:/├── 2019/├── 07/├── 20190712_141507.jpg└── 20190719_224521.jpg└── 10/├── 20191011_180520.jpg└── 20191029_204731.jpg└── 2020/├── 01/└── 20200114_135312.jpg└── 03/└── 20200301_110330.jpgFiles that cannot have the date-taken extracted (missing EXIF or bad filenames) will be copied to a 'failed_to_sort' folder in the root directory of the above structure without any renaming. These files are commonly ones downloaded from the internet or shared through social media.If your source folder has other files such as binaries, documents, audio recordings, or music, you can choose if you want to ignore them or copy them to an 'other_files' folder with the 'Copy all other files' option.This tool is multi-threaded to increase performance on high speed storage such as SSDs.No data in the source directory is altered. It only reads from the source, and then copy operations are performed during the sorting process.InstallationThe tool can be run on Linux, MacOS and Windows provided the following requirements are metRequirementsPython(compatible versions are listed at top of readme)python3-tk (Comes with Python 3, but may need installing separately in linux)pipx(highly recommended, butpipwill also work)It is recommended to installimage-sorting-toolwithpipxas it will manage a dedicated environment and all paths for you, eliminating risk of dependency conflicts, etc.To install run the followingpipxinstallimage-sorting-toolUsageRun the following to launchimage-sorting-toolUpgradingRun the following to upgradepipxupgradeimage-sorting-toolUninstallingRun the following to remove the tool from your machinepipxuninstallimage-sorting-toolDevelopmentTo contribute, clone this repo and then install the dev dependencies with# Installs package locally so code changes will affect behaviourpipinstall-e.[dev]#Launch with -vv flag for debug logsimage-sorting-tool-vvAutomated checksLinting and unit tests should be checked before committing by running the following:# Code formattingblackimage-sorting-tool# Lintingpylintimage_sorting_tool# Unit test on current environment python versionpytest
Package: imagesoup
Quick Tutorial>>>fromimagesoupimportImageSoup>>>>>>soup=ImageSoup()>>>images=soup.search('"Arya Stark"',n_images=10)>>>>>>arya=images[0]>>>arya.URL'https://upload.wikimedia.org/wikipedia/en/3/39/Arya_Stark-Maisie_Williams.jpg'>>>arya.show()>>>arya.size(300,404)>>>arya.dpi(72,72)>>>arya.color_count7269>>>arya.main_color(n=2)[('black',0.6219224422442244),('darkslategrey',0.27796204620462045)]>>>arya.to_file('arya.jpg')InstallationTo install ImageSoup, simply use pip:$pipinstallimagesoupAdvanced Searchimage_size:string, tuple(width, height)Find images in any size you need.(width, height)iconmediumlarge400x300+640x480+800x600+1024x768+2mp+4mp+8mp+10mp+12mp+15mp+20mp+40mp+70mp+aspect_ratio:stringSpecify the shape of images.tallsquarewidepanoramic>>>fromimagesoupimportImageSoup>>>>>>soup=ImageSoup()>>>images=soup.search('Cersei Lannister',image_size='icon',aspect_ratio='square')>>>>>>im=images[0]>>>im.URL'http://cdn.images.express.co.uk/img/dynamic/galleries/64x64/264415.jpg'>>>im.size(64,64)>>>im.show()
Package: imagespack
image2pdfPackage images into one PDF file or GIF file or TIFF file.InstallpipinstallimagespackUsageUsage:imagespack.py[OPTIONS]IMAGES...PackageimagesintoonePDFfileorGIFfileorTIFFfile.

Options:-o,--outputTEXTResultpdffilename.[required]-d,--durationFLOATThetimetodisplaythecurrentframeoftheGIF,inmilliseconds.Defaultto1000.-l,--loopINTEGERThenumberoftimestheGIFshouldloop.0meansthatitwillloopforever.Defaultto0.--helpShowthismessageandexit.ExampleConvert all .jpg files into result.pdf file.imagespack-oresult.pdf*.jpgReleasesv0.1.0 2019/12/01First release.Allow pack into one pdf, one gif or one tiff file.
Package: imageSpiderByHanXu
BriefModule:pixivEasy usesearch byRanksearch bykeywordModule:bingModule:baiduBriefThis tool allow you to crawl images from3website, which are Pixiv,Bing and Baidu.Module:pixivMake sure that your internet can visit the foreign websites.The module has two ways to crawl images:Rankandkeyword.Easy useimportimageSpiderByHanXu.pixivaspixivif__name__=='__main__':ex=pixiv.pixiv_spider()ex()search byRankLooking at the following example:{'1':'Rank','2':'Keyword'}Typeinthetargetyouwanttosearch.1{'1':'Simple:Recommended and Fast because the downloaded images are vague.You can view the simple image and select what you love','2':'Specific:Not Recommended and Slow because the downloaded images are clear'}Typeintherequirementofdownload-mode.1typeinthepathwhereyouwanttoreservetheimages:
rank20230424
Typeinthenumberofimagesyouwant:5{'1':'daily','2':'weekly','3':'monthly','4':'rookie','5':'daily_ai','6':'male','7':'female'}typeinthesearchModeyouwant1Typeinthedateyouwanttosearch.Followtheformatlikethis:2023042320230424search bykeyword{'1':'Rank','2':'Keyword'}Typeinthetargetyouwanttosearch.2{'1':'Simple:Recommended and Fast because the downloaded images are vague.You can view the simple image and select what you love','2':'Specific:Not Recommended and Slow because the downloaded images are clear'}Typeintherequirementofdownload-mode.1typeinthepathwhereyouwanttoreservetheimages:
秋山澪图片
Typeinthenumberofimagesyouwant:5{'1':'500','2':'1000','3':'5000','4':'10000'}Typeintherequirementofheat.Largerthenumberis,Lesstheresultsare.2typeinthekeywordsusedtosearchinpixiv:
秋山澪Module:bingUse the following code to run the module.importimageSpiderByHanXu.bingasbingif__name__=='__main__':ex=bing.Spider_bing_image()ex()typeinthepathwhereyouwanttoreservetheimages:秋山澪typeinthekeywordsusedtosearchinbing:秋山澪
Typeinthenumberofpagesyouwant.Eachpagehasalmost30images:1Module:baiduThe package can crawl the images at baidu based on thekeywordoffered by you.use the following code to use the packageimportimageSpiderByHanXu.baiduasbaiduif__name__=='__main__':spider=baidu.Spider_baidu_image()spider()typeinthepathwhereyouwanttoreservetheimages:秋山澪typeinthekeywordsusedtosearchinBaidu:秋山澪
Typeinthenumberofpagesyouwant.Eachpagehas30images:1
Package: imagesplitter
image-splitterSplit an image into multiple columns or rows and serve as a printable PDF.Getting StartedInstallationYou can runsetup.pythrough./setup.py installorpython3 setup.py install.UsageThis project has a command line entry point that allows you to use it with theimagesplittercommand. You may also usepython3 -m imagesplitter.imagesplitter [options] image columns rows
options:
    -h                  Help
    -d, --dpi           DPI of printer (defaults to 300).
    -w, --paperwidth    Width of paper in inches (defaults to 8.5).
    -y, --paperheight   Height of paper in inches (defaults to 11).
    -o, --output        File to output to (defaults to out.pdf).ExamplesExamples can be found in theexamplesdirectory.LicenseThis project is licensed under the MIT License. SeeLICENSEfor details.AuthorsWillow Ciesialka
Package: images-processing
Projeto _ Descomplicando a criaÃ§Ã£o de pacotes de processamento de imagens em PythonNeste projeto sera criado o primeiro pacote de processamento de imagens em Python e disponibilizÃ¡-lo no repositÃ³rio Pypi.Assim  poderÃ¡ ser reutilizado facilmente e compartilhÃ¡-lo com outras pessoas.O pacote "image-processing-test" Ã© usado para::MÃ³dulo "Processing":CorrespondÃªncia de histogramaSimilaridade estruturalRedimensionar imagemMÃ³dulo "Utils":- Leia a imagem- Salvar imagem- Plotar imagem- Plotar Resultado do grafico- Plotar histogramaComandos de InstalaÃ§Ã£opy -m pip install --upgrade pippy -m pip install --user twinepy -m pip install --user setuptoolspy -m pip install --upgrade pip setuptools wheelComandos para criar DistribuiÃ§ÃµesPara evitar erro :error: invalid command 'bdist_wheel'Rodei antes :pip install wheelDepoispython setup.py sdist bdist_wheelApÃ³s completar a instalaÃ§Ã£o, verifique se as pastas abaixo foram adicionadas ao projeto:builddistimages_processing.egg-info.Comandos para Publicar no Test Pypipython -m twine upload --repository-urlhttps://test.pypi.org/legacy/dist/*Me siga nas redes sociaishttps://linktr.ee/ygtecnologiaInvestir em conhecimento rende sempre os melhores juros. Benjamim FranklinOraÃ§Ã£o ! Foco ! AÃ§Ã£o ! Yeshua Hamashia
Package: imagesteg
imagestegimagesteg(formerlyimgsteg) is a simple image steganalysis (steganography analysis) tool in Python with web-based GUI.
A quick alternative toStegSolve.FeaturesProvides Python API, CLI, and interactive web interfaceUsage examples$imagesteguiexamples/problem.png# Launch web interfaceListeningonhttp://localhost:8080/
HitCtrl-Ctoquit.$imagestegextract_bit_planeexamples/problem.pngoutput.png--bitb0$imagestegextract_bitsexamples/stg300.png--bitsr0
Congrats
Youwin!
The
Flag
is
4E34B38257200616FB75CD869B8C3CF0***Congrats
...Installpip install imagestegUninstall:pip uninstall imagestegTodoAdd examplesAdd usageReferencesStegSolvehttp://www.caesum.com/handbook/stego.htmStegpyhttps://www.balda.ch/posts/2013/Jun/04/release-stegpy/青い空を見上げればいつもそこに白い猫https://digitaltravesia.jp/usamimihurricane/webhelp/_RESOURCE/MenuItem/another/anotherAboutSteganography.html
Package: imagestoanimation
Convert a folder of images to an animationIf using PowerPoint 2016 you can save all slides as images to be used as inputUse settings.conf or command line arguments to configure the input/output/etcInstall withpip install imagestoanimationUsage:imgvid [-h] [-s SETTINGS] [-d DIRECTORY] [-f FILEFORMAT] [-c CODEC]
              [-o OUTPUT] [-r RATE] [-W WIDTH] [-H HEIGHT]

Args that start with '--' (eg. -d) can also be set in a config file (*.conf or
specified via -s). Config file syntax allows: key=value, flag=true,
stuff=[a,b,c] (for details, see syntax at https://goo.gl/R74nmi). If an arg is
specified in more than one place, then commandline values override config file
values which override defaults.

optional arguments:
  -h, --help            show this help message and exit
  -s SETTINGS, --settings SETTINGS
                        Config file path, usually *.conf
  -d DIRECTORY, --directory DIRECTORY
                        Directory containing frame files
  -f FILEFORMAT, --fileformat FILEFORMAT
                        Naming convention for frame files
  -c CODEC, --codec CODEC
                        Codec as FOURCC, see http://www.fourcc.org/codecs.php
  -o OUTPUT, --output OUTPUT
                        Output file name
  -r RATE, --rate RATE  Frames Per Second
  -W WIDTH, --width WIDTH
                        Output frame width
  -H HEIGHT, --height HEIGHT
                        Output frame heightExample:imgvid -d="input" -f=Slide[0-9]*.PNG -c=XVID -o=output.avi -r=15 -w=1280 -h=720
Package: images-to-pdf
Images to PDFConvert all passed images into a single pdf fileFree software: MIT licenseInstalationpipinstallimages-to-pdfUsageimg2pdf<img1><img2>...-nout.pdforimg2pdf<img1><img2>CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2022-04-24)First release on PyPI.
Package: imagestore
An image gallery, created for easy integration for an exiting django project.Documentation available on ReadTheDocsGallery for siteAlbumsMass uploadThumbnails in admin interefaceOrderingTagging supportEasy PrettyPhoto integrationDjango-cms integrationGallery for your site usersYou can use imagestore to create gallery for your users.Users can:create albums, upload photos to albumsmake albums non-publicset name, descripion and tags for photosedit infomation about photo or upload new veresion