Open Source Computer Vision Library
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Updated
Jul 24, 2020 - C++
Digital image processing is the use of algorithms to make computers analyze the content of digital images.
Open Source Computer Vision Library
Content aware image cropping
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
Content aware image resize library
An Android transformation library providing a variety of image transformations for Glide.
JavaScript image cropper.
The friendly PIL fork (Python Imaging Library)
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai
Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Blurry is an easy blur library for Android
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Machine learning, computer vision, statistics and general scientific computing for .NET
a language for fast, portable data-parallel computation
A view controller for iOS that allows users to crop portions of UIImage objects
Fast and secure standalone server for resizing and converting remote images
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
Go package for computer vision using OpenCV 4 and beyond.
Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
Thumbnailator - a thumbnail generation library for Java
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Best Practices, code samples, and documentation for Computer Vision.