caire - Content aware image resize library

  •        295

Caire is a content aware image resize library based on Seam Carving for Content-Aware Image Resizing paper. The library is capable detecting human faces prior resizing the images via https://github.com/esimov/pigo, which does not require to have OpenCV installed.

https://github.com/esimov/caire

Tags
Implementation
License
Platform

   




Related Projects

libface - Face Recognition Library

  •    C++

Libface is a cross platform framework for developing face recognition algorithms and testing its performance. The library uses OpenCV 2.0 and aims to be a middleware for developers that don’t have to include any OpenCV code in order to use face recognition and face detection detection.

Flyimg - Microservice to resize and crop images on the fly

  •    PHP

Image resizing, cropping and compression on the fly with the impressive MozJPEG compression algorithm. One Docker container to build your own Cloudinary-like service.You pass the image URL and a set of keys with options, like size or compression. Flyimg will fetch the image, convert it, store it, cache it and serve it. The next time the request comes, it will serve the cached version.

GPUImage2 - GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing

  •    Swift

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

PixelSorting - A set of experiments in pixel sorting using Processing

  •    Processing

Using either edge-detection or random choice, start with a set of 'seed' pixels, grab all neighbors within a 1px radius, sort those, and repeat the process. Similar to the 'seam carving' example, this is a little softer movement across the image by looking for least change between the current pixel and its neighbors.

carve - Go implementation of Seam Carving algorithm.

  •    Go

Go implementation of Seam Carving algorithm. Seam carving allows for an image to be resized without simply cropping or scaling the original image. Detailed walk through of the algorithm and code can be found on my website. Algorithm is also detailed on Wikipedia, the original paper.


Face Detection For Windows Phone 7

  •    

A library for performing face detection on windows phone 7. This library uses the same algorithms and detection models as OpenCV and is written in C# and built for the Windows Phone. Also includes a camera user control that supports automated taking of photos and showing camer...

thumbor - Smart imaging service.

  •    Python

thumbor is a smart imaging service. It enables on-demand crop, resizing and flipping of images. It also features a VERY smart detection of important points in the image for better cropping and resizing, using state-of-the-art face and feature detection algorithms (more on that in Detection Algorithms).

PyCNN - Image Processing with Cellular Neural Networks in Python

  •    Python

Cellular Neural Networks (CNN) [wikipedia] [paper] are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high frame-rate (>10,000 frame/s) processing unachievable by digital processors. This python library is the implementation of CNN for the application of Image Processing.

sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

  •    C

SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.

OpenIMAJ - Open Intelligent Multimedia Analysis for Java

  •    Java

OpenIMAJ is an award-winning set of libraries and tools for multimedia (images, text, video, audio, etc.) content analysis and content generation. OpenIMAJ is very broad and contains everything from state-of-the-art computer vision (e.g. SIFT descriptors, salient region detection, face detection, etc.) and advanced data clustering, through to software that performs analysis on the content, layout and structure of webpages.

hed - code for Holistically-Nested Edge Detection

  •    C++

We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional neural networks and deeply-supervised nets. HED automatically learns rich hierarchical representations (guided by deep supervision on side responses) that are important in order to resolve the challenging ambiguity in edge and object boundary detection. We significantly advance the state-of-the-art on the BSD500 dataset (ODS F-score of .790) and the NYU Depth dataset (ODS F-score of .746), and do so with an improved speed (0.4s per image). Detailed description of the system can be found in our paper. If you have downloaded the previous version (testing code) of HED, please note that we updated the code base to the new version of Caffe. We uploaded a new pretrained model with better performance. We adopted the python interface written for the FCN paper instead of our own implementation for training and testing. The evaluation protocol doesn't change.

jeelizWeboji - JavaScript/WebGL real-time face tracking and expression detection library

  •    Javascript

With this library, you can build your own animoji embedded in Javascript/WebGL applications. You do not need any specific device except a standard webcam. By default a webcam feedback image is displayed with the face detection frame. The face detection is quite robust to all lighting conditions, but the evaluation of expression can be noisy if the lighting is too directional, too weak or if there is an important backlight. So the webcam feedback image is useful to see the quality of the input video feed.

pico - Pixel Intensity Comparison-based Object detection

  •    C

The pico framework is a modifcation of the standard Viola-Jones method. The basic idea is to scan the image with a cascade of binary classifers at all reasonable positions and scales. An image region is classifed as an object of interest if it successfully passes all the members of the cascade. Each binary classifier consists of an ensemble of decision trees with pixel intensity comparisons as binary tests in their internal nodes. This enables the detector to process image regions at very high speed.

nude.js - Nudity detection with JavaScript and HTMLCanvas

  •    Javascript

nude.js is a JavaScript implementation of a nudity scanner based on approaches from research papers. HTMLCanvas makes it possible to analyse image data and afterwards decide whether it should be displayed or not. The detection algorithm runs at the client, therefore it's possible (with user interaction) to display the image even if it's identified as nude (false positive) The real world usage for client side nudity detection could be in webproxies with child security filters, and maybe even more (e.g. on social media plattforms) nude.js is Open Source. Contributions are very welcome, the goal is to build a reliable client-side nudity scanner.Test the nudity detection script on several predefined images, I didn't have enough time to build a nice demo with flickr image support but feel free to test some of your images too. nude.js is currently supported in IE9(excanvas), FF 3.6+, Chrome, Safari and Opera. For really fast results try Chrome.

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET

  •    CSharp

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.

Simd - C++ image processing library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4

  •    C++

The Simd Library is a free open source image processing library, designed for C and C++ programmers. It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. The algorithms are optimized with using of different SIMD CPU extensions. In particular the library supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC (big-endian), NEON for ARM.

Jimp - An image processing library written entirely in JavaScript for Node

  •    Javascript

An image processing library for Node written entirely in JavaScript, with zero native dependencies. It supports image manipulation methods like Blit an image, Blur an image, Various color manipulation methods, Resize, Scale and Rotate the image, Apply a dither effect to an image, Mask one image with another, Print text onto an image (watermark) and lot more.

friday - Fast image IO and transformations.

  •    Haskell

friday is an image processing framework for Haskell. It has been designed to build fast, generic and type-safe image processing algorithms. friday also provide some simple computer vision features such as edge detection or histogram processing.

.Net Image Processor

  •    

An image processing wrapper around GDI+, allowing you to apply one or more filters against an image source. Out-of-the-box support: * Conversion from one image type to another * Image resizing and various strategies for resolving aspect ratio * Edge detection * GIF supp...

digiKam - Advanced Digital Photo Management

  •    C++

digiKam is an advanced digital photo management application for KDE, which makes importing and organizing digital photos a snap. The photos can be organized in albums which can be sorted chronologically, by directory layout or by custom collections. It provides support to add tag, comment to your images.






We have large collection of open source products. Follow the tags from Tag Cloud >>


Open source products are scattered around the web. Please provide information about the open source projects you own / you use. Add Projects.