Firesize
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Firesize vs OpenCV: What are the differences?

Developers describe Firesize as "On the fly image resizing. No code required. Built-in CDN". Firesize is a hosted image processing proxy. It's focused on doing one thing fast: resizing and cropping images on demand. It's a simple url based API allows you to quickly generate images on demand. On the other hand, OpenCV is detailed as "Open Source Computer Vision Library". 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.

Firesize and OpenCV can be primarily classified as "Image Processing and Management" tools.

Some of the features offered by Firesize are:

  • Processing options specified via URL
  • URL signing (for security)
  • Process images from anywhere (no uploading to Firesize required)

On the other hand, OpenCV provides the following key features:

  • C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android
  • More than 47 thousand people of user community and estimated number of downloads exceeding 7 million
  • Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics

Firesize and OpenCV are both open source tools. It seems that OpenCV with 36.3K GitHub stars and 26.6K forks on GitHub has more adoption than Firesize with 92 GitHub stars and 40 GitHub forks.

What is Firesize?

Firesize is a hosted image processing proxy. It's focused on doing one thing fast: resizing and cropping images on demand. It's a simple url based API allows you to quickly generate images on demand.

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 Firesize and OpenCV?
          Cloudinary
          Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
          imgix
          imgix is a real-time image processing service and CDN. Resize, crop, and edit images simply by changing their URLs.
          FFMPEG
          The universal multimedia toolkit.
          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.
          scikit-image
          scikit-image is a collection of algorithms for image processing.
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          What tools integrate with Firesize?
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            How developers use Firesize and OpenCV
            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.

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