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cloudinary

Python package for cloudinary

clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

pyvips

python binding for libvips using cffi

imagekitio

ImageKit.io Python SDK

glitch-this

:camera: Glitchify images and GIF - with highly customizable options!

pyuploadcare

Build file handling in minutes. Upload or accept user-generated content, store, transform, optimize, and deliver images, videos, and documents to billions of users.

fotokilof

GUI for ImageMagick and Wand or Pillow

cloudinary-cli

A command line interface for Cloudinary's APIs

imgrs

Imgrs for Python. A blazingly fast, modern image processing library for Python. Powered by rust.

polaroid

Hyper Fast and safe image manipulation library for python . Powered by rust.

imagesorcery-mcp

An MCP server providing tools for image processing operations

layeredimage

Use this module to read, and write to a number of layered image formats

django-imagefit

Resize an image on render. Preserve your original file on your system.

nsvision

nsvision - Computer Vision Wrapper built on top of PIL, cv2 and Numpy

imageeffects

A library to add effects to your images.

scalenx

Scale2x, Scale3x, Scale2xSFX and Scale3xSFX scaling of pixel art and low-resolution scans for OCR

nitro-image

Resize, convert, and optimize images with a chainable API. Generate responsive sizes in one call.

image-titler

An image processing utility which provides options for generating thumbnails for various social media platforms.

sinapsis-image-transforms

Package to handle image transformations

vsgan

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

imageedit

Create various icon masks and shading effects with the imageedit library

sinapsis-albumentations

Templates to perform image transformations using the albumentations library.

mazesolver

A maze solving program for black and white images

byakuganvisualizer

The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Additionally, it offers options for customization, which can be helpful for color-blind users.