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What is Aviary?

Aviary's beautiful photo editor is powerful, customizable, and can be plugged into your mobile apps and website in minutes. The best photo editing for your app or website Our 3500+ partners chose Aviary because our editor is powerful, customizable, and integration takes just minutes. Aviary comes preloaded with a ton of intuitive features that your users will love.

What is imgix?

imgix is a real-time image processing service and CDN. Resize, crop, and edit images simply by changing their URLs.

What is OpenCV?

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

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What are some alternatives to Aviary, imgix, and OpenCV?
Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
The universal multimedia toolkit.
scikit-image is a collection of algorithms for image processing.
GraphicsMagick is the swiss army knife of image processing. Comprised of 267K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package (or 1,225K including 3rd party libraries) it provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF.
Content aware image resizing, cropping, compression, cache and globally deliver. All web development best practices, hassle free in one simple and powerful API.
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Avatar of ttandon
ttandon uses OpenCVOpenCV

I used both scikit-image and OpenCV for image processing and cell identification on the backend. Trained to identify malaria cells based on image datasets online. When it comes to quick training for image processing, OpenCV and scikit-image are the two best choices in my opinion. The approach I took to cell detection was template-matching and edge detection based. Both are highly tested and very powerful features of the Scikit Image and OpenCV libraries, and also have great Python interfaces.

Avatar of ssshake
ssshake uses OpenCVOpenCV

I use openCV to serve as "motion capture" logic for my home security cameras. Which means that instead of capturing in a dumb way based on motion, it captures video when it recognizes human faces or bodies. This saves a lot of disk, but at the expense of CPU.

Avatar of Taylor Host
Taylor Host uses OpenCVOpenCV

CV glue. Modified libraries for pattern-detection. Some pattern training tasks. HoG matching. Transform

Avatar of Owen Miller
Owen Miller uses OpenCVOpenCV

We read people's CAPTCHA images.

Avatar of Jesse Michelsen
Jesse Michelsen uses AviaryAviary

Aviary powers the image editor

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