Saravanan666/pypi-org huggingface dataset:
Package: images-upload-cli
images-upload-cliUpload images via APIsInstallationPyPIpipinstallimages-upload-cli# orpipxinstallimages-upload-cliAURyay-Spython-images-upload-cliHostingshostkey requiredreturn exampleanhmoe-https://cdn.anh.moe/c/{id}.pngbeeimg-https://beeimg.com/images/{id}.pngcatbox-https://files.catbox.moe/{id}fastpic-https://i120.fastpic.org/big/2022/0730/d9/{id}.pngfilecoffee-https://file.coffee/u/{id}.pngfreeimage-https://iili.io/{id}.pnggyazo+https://i.gyazo.com/{id}.pngimageban+https://i2.imageban.ru/out/2022/07/30/{id}.pngimagebin-https://ibin.co/{id}.pngimgbb+https://i.ibb.co/{id}/image.pngimgchest+https://cdn.imgchest.com/files/{id}.pngimgur-https://i.imgur.com/{id}.pnglensdump+https://i.lensdump.com/i/{id}.pngpixeldrain-https://pixeldrain.com/api/file/{id}pixhost-https://img75.pixhost.to/images/69/{id}_img.pngptpimg+https://ptpimg.me/{id}.pngsmms+https://s2.loli.net/2022/07/30/{id}.pngsxcu-https://sxcu.net/{id}.pngtelegraph-https://telegra.ph/file/{id}.pngthumbsnap+https://thumbsnap.com/i/{id}.pngtixte+https://{domain}.tixte.co/r/{id}.pngup2sha+https://up2sha.re/media/raw/{id}.pnguplio+https://upl.io/i/{id}.pnguploadcare+https://ucarecdn.com/{id}/img.pngvgy+https://i.vgy.me/{id}.pngUsageUsage:images-upload-cli[OPTIONS]IMAGES...UploadimagesviaAPIs.

Options:-h,--hosting[anhmoe|beeimg|catbox|fastpic|filecoffee|freeimage|gyazo|imageban|imagebin|imgbb|imgchest|imgur|lensdump|pixeldrain|pixhost|ptpimg|smms|sxcu|telegraph|thumbsnap|tixte|up2sha|uplio|uploadcare|vgy][default:imgur]-f,--format[plain|bbcode|html|markdown]Theformatofthelinkstobegenerated.[default:plain]-t,--thumbnailCreatecaptionedthumbnails.Bydefault,inbbcodeformat.-n,--notifySenddesktopnotificationoncompletion.Requiredlibnotify.--clipboard/--no-clipboardCopytheresulttotheclipboard.[default:clipboard]--env-fileFILEThepathtotheenvironmentfile.Takesprecedenceoverthedefaultconfigfile.--log-level[DEBUG|INFO|WARNING|ERROR|CRITICAL]UseDEBUGtoshowdebuglogs.UseCRITICALtosuppressalllogs.[default:INFO]--versionShowtheversionandexit.--helpShowthismessageandexit.Env variablesCAPTION_FONT=# The default font is system dependent.FREEIMAGE_KEY=GYAZO_TOKEN=IMAGEBAN_TOKEN=IMGBB_KEY=IMGCHEST_KEY=IMGUR_CLIENT_ID=LENSDUMP_KEY=PTPIMG_KEY=SMMS_KEY=THUMBSNAP_KEY=TIXTE_KEY=UP2SHA_KEY=UPLIO_KEY=UPLOADCARE_KEY=VGY_KEY=You can set these in environment variables, or in.envfile:Unix:~/.config/images-upload-cli/.envMacOS:~/Library/Application Support/images-upload-cli/.envWindows:C:\Users\<user>\AppData\Roaming\images-upload-cli\.env
Package: image-tabular
image_tabularIntegrate image and tabular data for deep learning.Installpip install image_tabularHow to useThis library utilizes fastai and pytorch to integrate image and tabular data for deep learning and train a joint model using the integrated data.Image source: N. Gessert, M. Nielsen and M. Shaikh et al. / MethodsX 7 (2020) 100864Please first prepare image and tabular data separately as fastai LabelLists, and then integrate them using theget_imagetabdatasetsfunction as below:integrate_train,integrate_valid,integrate_test=get_imagetabdatasets(image_data,tab_data)The train, validation, and optional test datasets can then be combined in a DataBunch:db=DataBunch.create(integrate_train,integrate_valid,integrate_test,path=data_path,bs=bs)Next, we create a joint model to train on both image and tabular data simultaneously:integrate_model=CNNTabularModel(cnn_model,tabular_model,layers=[cnn_out_sz+tab_out_sz,32],ps=0.2,out_sz=2).to(device)Finally, we pack everying into a fastai learner and train the joint model:learn=Learner(db,integrate_model)learn.fit_one_cycle(10,1e-4)The following notebook puts everything together and shows how to use the library for the SIIM-ISIC Melanoma Classification competition on Kaggle:SIIM-ISIC Integrated Model
Package: image-template-overlay-apply
OverviewThis is a library and tool that streamlines applying component images to a template image. A config is provided that defines boundaries of the regions within the template image to apply the component images to.There is strictness to prevent overlapping configs and additional support for determining coverage of the template image.Masking is not current supported.Installation$ sudo pip install image_template_overlay_applyYou may choose to clone the project instead:$ git clone https://github.com/dsoprea/image_template_overlay_apply.git
$ cd image_template_overlay_apply
$ sudo pip install -e .Library UsageIt is recommended that you use the source-code of thetoolas a roadmap to using the library. There is also excellentunit-test coveragethat may be used for guidance.Tool UsageThe tool hasfull command-line documentation. You can also read the template from STDIN and write the output image to STDOUT (using the same format as the input).ExampleUsing example data inassets/example.Config:{"placeholders":{"top-left":{"left":0,"top":0,"width":50,"height":100},"top-right":{"left":50,"top":0,"width":50,"height":100},"middle-center":{"left":0,"top":100,"width":100,"height":100},"bottom-center":{"left":0,"top":200,"width":100,"height":100}}}Running:$ template_image_apply_overlays \
    assets/example/layout.json \
    --template-filepath assets/example/template.png \
    --component-filepath top-left assets/example/top_left.png \
    --component-filepath top-right assets/example/top_right.png \
    --component-filepath middle-center assets/example/middle_center.png \
    --component-filepath bottom-center assets/example/bottom_center.png \
    --output-filepath /tmp/output.png

Applying: [top-left] [top_left.png]
Applying: [top-right] [top_right.png]
Applying: [middle-center] [middle_center.png]
Applying: [bottom-center] [bottom_center.png]
Writing.The output will look like:TestsTo run the unit-tests:$ nose2 -v tests
Package: imagetext-py
A blazing fast text drawing libraryimagetext-py is python bindings forimagetextif you found this library useful, consider leaving a star ⭐Aboutimagetext makes use ofrusttypefor font parsing andtiny-skiafor drawing. It has a simple API that allows you to draw text with ease.Currently imagetext-py does beat out Pillow for most of the cases I've tested, but I will setup some benchmarks soon.FeaturesMulti-line textText wrappingText alignmentFont fallbacksText strokeGradient fillsEmojis! (almost every platform supported, including discord)Global Font Database with css-like font queryingNote: emojis are fetched and cached from the internet during runtime, so you will need an internet connection to use them. The ability to use local emoji images will be added soon.Installationpipinstallimagetext-pyExample UsagefromPILimportImagefromimagetext_pyimport*# supports fonts with fallbacksFontDB.LoadFromDir(".")font=FontDB.Query("coolvetica japanese")# create a canvas to draw oncv=Canvas(512,512,(255,255,255,255))# paints are used to fill and stroke textblack=Paint.Color((0,0,0,255))rainbow=Paint.Rainbow((0.0,0.0),(256.0,256.0))# if a font doesn't have a glyph for a character, it will use the fallbackstext="hello my 😓 n🐢ame i☕s 会のすべ aての構成員 nathan and i drink soup boop coop, the quick brown fox jumps over the lazy dog"draw_text_wrapped(canvas=cv,# the canvas to draw ontext=text,x=256,y=256,# the position of the textax=0.5,ay=0.5,# the anchor of the textsize=67,# the size of the textwidth=500,# the width of the textfont=font,fill=black,align=TextAlign.Center,stroke=2.0,# the stroke width (optional)stroke_color=rainbow,draw_emojis=True)# the stroke color (optional)# you can convert the canvas to a PIL imageim:Image.Image=cv.to_image()im.save("test.png")# or you can just get the raw bytesdimensions,bytes=cv.to_bytes()# you can also save directly to a filecv.save("test.png")produces this image:Pillow and FontDB UsagefromPILimportImagefromimagetext_pyimport*FontDB.SetDefaultEmojiOptions(EmojiOptions(parse_discord_emojis=True))FontDB.LoadFromDir(".")font=FontDB.Query("coolvetica japanese")withImage.new("RGBA",(512,512),"white")asim:withWriter(im)asw:w.draw_text_wrapped(text="hello from python 😓 lol, <:blobpain:739614945045643447> "\"ほまみ <:chad:682819256173461522><:bigbrain:744344773229543495> "\"emojis workin",x=256,y=256,ax=0.5,ay=0.5,width=500,size=90,font=font,fill=Paint.Color((0,0,0,255)),align=TextAlign.Center,stroke=2.0,stroke_color=Paint.Rainbow((0.0,0.0),(256.0,256.0)),draw_emojis=True)im.save("test.png")produces this image:
Package: image-tiles
Image TilesA Moonshine Labs toolOverviewA simple but flexible tool to view a folder full of images on your web browser. Features:Run one command and serve a folder of images in any format PIL supports.Easily view images on another computer, such as when working via SSH or remotely.Support for AWS (and eventually GCS/Azure) buckets.Normalization and rendering options for a variety of multispectral images, especially satellites.Support for multichannel TIFF, JP2, and other less common file formats.Installation# Install default installation
$ pip install image_tiles

# Install with S3 support
$ pip install image_tiles[aws]Usage$ image_tiles ./path_to_folderServing a folder of JPEGs (images from instagram.com/dustinlefevre)Serving a folder of multispectral TIFFs:Rendering optionsrgb: Standard RGB image rendering (default).bgr: BGR image rendering.bw: Grayscale image rendering from the first 3 channels.sentinel: Render using channels[1:4] for sentinel satellite data.Normalization optionsstandard: If the image is a standard 1/3 channel image, leave it alone. Otherwise applyscaling(default)scaling: Scale to 0-255, clipping negative numbers and scaling positive numbers.sigmoid: Sigmoid normalization, as described inxarray true colorsentinel: Sentinel-2 specific normalization, as described at the Sentinel 2user guideCurrent LimitationsOnly a subset of useful normalization and rendering options supported. Help contribute!Eventually we'd like to more easily support user code and functions.Must restart the server to change some options.
Package: image-tiller
Image TilerImage Tiler is a Python package that allows you to split an image into tiles based on a grid and overlap between tiles. It also provides functionality to combine the tiles back into the original image.InstallationYou can install Image Tiler using pip:pipinstallimage-tillerUsageSplitImage ClassTheSplitImageclass is used to split an image into tiles based on a grid and overlap between tiles. The class takes in an image path, the number of rows and columns in the grid, and the overlap between tiles.CombineTiles ClassTheCombineTilesclass is used to combine tiles back into the original image. The class takes in a list of tiles, the number of rows and columns in the grid, and the overlap between tiles.ExamplefromImgTilerimportSplitImage,CombineTilesimportcv2img=cv2.imread('image.jpg')grid=(3,4)#3 rows, 4 columnsoverlap=30#30 pixelsshow_rects=Trueshow_image=Truesplitter=SplitImage(img,grid,overlap)# Create SplitImage objecttiles=splitter.split_image(show_rect=show_rect,show_tiles=show_image)# Split image into tilescombiner=CombineTiles(tiles,grid,overlap)# Create CombineTiles objectimg2=combiner.combine_tiles(show_image=show_image)# Combine tiles into original imageOriginal ImageSplit ResultCombined ImageContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.LicenseThis project is licensed under theMITlicense.
Package: imagetitle
Overlay Image TitleThis is a tool,imagetitle, to help overlay a small bit of text over an image.This is especially useful to add some credits to images used in presentations for example.imagetitle -i input.png --title="This is title text." -p "bottom"Photo credits for the photo above gotoİrfan Simsar [https://unsplash.com/@irfansimsar]Usage$imagetitle[OPTIONS]Options:-i, --input PATH: Image file name.  [default: input.png]-o, --output PATH: Output file name.  [default: output.png]-p, --position [bottom|top|left|right]: Where to position the tile.  [default: bottom]-t, --title TEXT: Text for title.-f, --font TEXT: Font name or path.-r, --fraction FLOAT RANGE: What fraction, 0 to 1, of the image edge should be covered by the title?  [default: 0.75]--version--install-completion: Install completion for the current shell.--show-completion: Show completion for the current shell, to copy it or customize the installation.--help: Show this message and exit.InstallationThere are a number of ways you could install this utility.PythonIf you are familiar with the installation of python packages in a virtual environment then you can install with:pip install imagetitleThis will give you a command line application that you can use at the terminal.PipxAnother approach is to use a utility calledPipxto install the application.pipx install imagetitleorpipx install git+https://github.com/rnwolf/overlay_image_title/DockerThe utility is also packaged up in a Dockerimage.If you have docker installed then you can pull down the application and python all in one image.docker pull rnwolf/overlayimagetitleTo show application helpdocker run -t -i --rm -v ${PWD}:/app overlayimagetitle:latestShow versiondocker run -t -i --rm -v ${PWD}:/app overlayimagetitle:latest --versionGiven a file called input.png in current working dir then with this produce output.png indocker run -t -i --rm -v ${PWD}:/app overlayimagetitle:latest -i /app/input.png -f /fnt/Ubuntu-C.ttfOpen a bash shell inside of the docker containerdocker run -t -i --rm --entrypoint /bin/bash -v ${PWD}:/app overlayimagetitle:latestSetup alias for Docker ImageWhen using docker to run command setup a command alias for imagetitle
In your powershell profile add the followingfunction imagetitle {
  docker run -it --rm v ${pwd}:/app overlayimagetitle:latest $args
 }Or if you use bash terminal then update .bashrc profilr by adding:alias imagetitle='docker run -it --rm -v \`pwd\`:/app overlayimagetitle:latest'
Package: image-to-Ascii
# image-to-ascii
image-to-ascii is a python module created for creating Ascii art from any given imageASCII IMAGE![Banner](/images/Ascii-example.PNG)ORIGNAL IMAGE![Banner](/images/pickachu.png)## Getting Started
1) Install Python 3.6 or newer.https://www.python.org/downloads/2) Open cmd/terminal and type:pip install image_to_AsciiIf you want to install the newest version from git, you can install like this:pip install git+https://github.com/aypro-droid/image-to-ascii.gitIf you want to easily edit the source, it’s recommended to clone the git
repo and install as develop like this. Make sure you have git installed.https://git-scm.com/git clonehttps://github.com/aypro-droid/image-to-ascii.gitpython setup.py develop## How do I generate an Ascii art from image?
You can use any text editor you want, but personally I like to use VSC.
1) Create an empty .py file called ‘filename.py’
2) Copy this text into your new file:`py from image_to_ascii import ImageToAscii # imagePath is for path of the image you want to convert to Ascii # outputFile is for the file path of where the generated Ascii art should be stored keep None if you don't want to store it in a .txt fileImageToAscii(imagePath="path/to/file",outputFile="output.txt")`## Contribution
If you would like to contribute, go ahead! I appreciate it.## Support
If you need any help you can ask me on discord Not Aypro#6969## Donations
If you want to donate you can by going tohttps://paypal.me/dontlimitmegaypal## Copyright
All images are subject to copyright
Package: imagetobrailleart
imagetobrailleartA python library to convert image or text into braille art.Convert any image or text into braille. I have used openCV, PIL and braillegraph byChris bouchardbut i have slightly upgraded his library.InstallationThis package is hosted on PyPI, so installation should be as simple as% pip install imagetobrailleartNote that this package requires at least Python 3.3, so if your default Python installation is still Python 2, make sure you use pip3.openCV is necessary for this library. If it is not installed then please install it.%pip install opencv-pythonI am using 4.5.3.56 version.Pillow is also necessary for this library. If it is not installed then please install it.%pip install pillowI am using 8.3.1 version.Again, use python3 if necessary.UsageYou can either useimagetobrailleortexttobrailleImport imagetobrailleart to start using it.imagetobraille("location_of_image", size = 100, inverse = 0)100 is the minimum we recommend and to inverse the image use 1 and if you don't want ot inverse it then use 0 or left it blank.
Example to print face of a girl:>>> import imagetobrailleart as itb
>>> a = itb.imagetobraille("C:\\Users\\yash\\Desktop\\face2.jpg") 
>>> print(a)texttobraille("font_location","text", size = 100, inverse = 0)To inverse the image use 1 and if you don't want ot inverse it then use 0 or left it blank.
Example to print HEY:>>> import imagetobrailleart as itb
>>> a = itb.texttoimage("arial.tff","HEY", 100, 0)
>>> print(a)LicenseMITFree Code, Hell Yeah!
Package: image-to-cpp
Image to cppConvert an image into a c++ header file containing a bytes array. Useful for electronic projects using a thermal printer or a LCD display.Usage> image-to-cpp --help
usage: main.py [-h] [-r RESIZE] [-s] [-o OUTPUT] [-v] [-d] [-t THRESHOLD] image_path

Convert an image into a byte array c++ code.

positional arguments:
  image_path            Path of image to convert, use `--` to read from stdin.

optional arguments:
  -h, --help            show this help message and exit
  -r RESIZE, --resize RESIZE
                        Resize image to specified width, keeping aspect ratio.
  -s, --show            Only show converted image.
  -o OUTPUT, --output OUTPUT
                        Store to specified file (default: image_name.h), use `--` to output on stdout.
  -v, --verbose         Deactivate information messages.
  -d, --dither          Activate dithering.
  -t THRESHOLD, --threshold THRESHOLD
                        Threshold level when converting to black and white, from 0 to 255 (default: 128).LicenseMIT
Package: image-to-excel
image-to-excelA simple project to convert from an image to an excel file, because my brother wanted something that did this.InstallationYou can install the project using pip :)pipinstallimage-to-excelUsageYou can use image-to-excel as an importable module:fromimage_to_excelimportBaseClassfrompathlibimportPathapp=BaseClass("config.yml")app.image_to_excel(Path("input.jpg"),100,Path("output.xlsx"))Or as a command line interface:$python3-mimage_to_excel# or$image-to-excel-w100input.jpgoutput.xslxDocumentationDocumentation for image-to-excel can be found within the docs folder.
Package: image-to-numpy
image_to_numpyLoad an image file into a numpy array - while automatically rotating the image based on
Exif orientation. Prevents upside-down and sideways images!import image_to_numpy

img = image_to_numpy.load_image_file("my_file.jpg")The image is automatically rotated into the correct orientation if the image contains Exif orientation metadata.
Otherwise, it is loaded normally.From there, you can pass the numpy array to any Python library that works with images
in numpy array format, like face_recognition, Keras, etc.InstallationYou can install fromPyPI:pip install image_to_numpyUsageimportimage_to_numpyimg=image_to_numpy.load_image_file("my_file.jpg")Your image is loaded - with the correct orientation!By default, the image array is returned as a numpy array
with 3-channels of 8-bit RGB data.You can control the output format by passing in an optionalmodeparameter:importimage_to_numpyimg=image_to_numpy.load_image_file("my_file.jpg",mode="RGB")# Supported modes:#  1 (1-bit pixels, black and white, stored with one pixel per byte)#  L (8-bit pixels, black and white)#  RGB (3x8-bit pixels, true color)#  RGBA (4x8-bit pixels, true color with transparency mask)#  CMYK (4x8-bit pixels, color separation)#  YCbCr (3x8-bit pixels, color video format)#  I (32-bit signed integer pixels)#  F (32-bit floating point pixels)If you have matplotlib installed, here's a quick way to show your image
on the screen:importmatplotlib.pyplotaspltimportimage_to_numpyimg=image_to_numpy.load_image_file("my_file.jpg")plt.imshow(img)plt.show()ThanksEXIF test images used in the unittests created by Dave Perrett / @daveperretthttps://github.com/recurser/exif-orientation-examples
Package: image-tools-stackabletech
image-toolsVersion: 0.0.5InstallationWe recommend to usepipx:pipx install image-tools-stackabletechBut you can also usepip:# from PyPI
pip install image-tools-stackabletech
# from GitHub
pip install git+https://github.com/stackabletech/image-tools.git@mainDescriptionTools to manage Stackable container images available athttps://github.com/stackabletech/docker-imagesFollowing tools are installed:bake: build and publish product images.check-container: run RedHat preflight checks on container images.Examples# Build images of the hello-world containers
bake -p hello-world -i 0.0.0-dev

# Build only one version [0.37.2] of OPA
bake -p opa=0.37.2 -i 0.0.0-dev

# Build half of all versions defined for OPA
bake -p opa -i 0.0.0-dev  --shard-count 2 --shard-index 0

# Build the other half of all versions defined for OPA
bake -p opa -i 0.0.0-dev  --shard-count 2 --shard-index 1Release a new versionUpdate the version in:pyproject.tomlREADME.md: version and pip install command.Update the CHANGELOG.
Commit and tag.
Build and publish:rm -rf dist/
python -m build --sdist --wheel .
twine upload dist/*
Package: image-to-scan
image-to-scanIf you have an image of a document maybe you would like to crop
everything outside the document and correct the angle from which the
photo was taken, in that case this command line tool might help.NotesOriginally forked fromKMKnation/Four-Point-Invoice-Transform-with-OpenCVThis code is inspired from4 Point OpenCV getPerspective Transform ExampleInstallationViapipxpipx install image_to_scanif you want to install inside an isolated environment.Via pippip install image_to_scanto an enviroment of your choice.image-to-scandepends onopencvandnumpywhich together will take around200MiBAfter installing it an entry pointimage-to-scanwill be added.Run itRunimage-to-scan tests/samples/02/original.jpgOriginal ImageOutput Imagetests/samples/02/original.jpgtests/samples/02/original-scanned.jpg
Package: image-to-sticker
Image-To-StickerA simple python library that converts image to sticker.RequirementsLinux, Windows, MacOSPython 3.8.+Install packagepipinstallimage_to_stickerInstall the latest versionpipinstall--upgradegit+https://github.com/bes-dev/image_to_sticker.gitDemopython-mimage_to_sticker.image_to_sticker--help

usage:image_to_sticker.py[-h][--deviceDEVICE][--fp16][--model-nameMODEL_NAME]--input-dirINPUT_DIR--output-dirOUTPUT_DIR[--image-sizeIMAGE_SIZE][--postprocess][--border-radiusBORDER_RADIUS]options:-h,--helpshowthishelpmessageandexit--deviceDEVICE--fp16--model-nameMODEL_NAME--input-dirINPUT_DIR--output-dirOUTPUT_DIR--image-sizeIMAGE_SIZE--postprocess--border-radiusBORDER_RADIUS