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Blitline
Blitline

5
7
+ 1
0
OpenCV
OpenCV

299
245
+ 1
66
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Blitline vs OpenCV: What are the differences?

Blitline: Image processing in the cloud (cropping, rotating, compositing, filtering). Blitline drastically reduces the amount of work you need to develop an application that does any image processing. Stop rebuilding the same image processing functionality, let us do it for much less than it would cost you to make and support it. Pay for only the image processing time that your jobs use. We believe your images should be YOUR images. We also believe that you should never be "locked in" to using Blitline. The flexibility of the JSON API means you could stub out Blitline later without ever touching your production/deployed code; OpenCV: 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.

Blitline and OpenCV can be categorized as "Image Processing and Management" tools.

Some of the features offered by Blitline are:

  • Industrial Strength- If you are a website that needs to manipulate large numbers of photos, Blitline is your economical solution.
  • Convenient- If you are importing photos from an external service and need to crop, thumbnail, or process them, we are your answer.
  • Versatile- Screenshots, PDFs, animated GIFs, obscure image formats, we are your one stop shop for all of these.

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

OpenCV is an open source tool with 36.3K GitHub stars and 26.6K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.

- No public GitHub repository available -

What is Blitline?

Blitline drastically reduces the amount of work you need to develop an application that does any image processing. Stop rebuilding the same image processing functionality, let us do it for much less than it would cost you to make and support it. Pay for only the image processing time that your jobs use. We believe your images should be YOUR images. We also believe that you should never be "locked in" to using Blitline. The flexibility of the JSON API means you could stub out Blitline later without ever touching your production/deployed code.

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 tools integrate with Blitline?
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        What are some alternatives to Blitline 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.
        ImageMagick
        It is a free and open-source software suite for displaying, converting, and editing raster image and vector image files. It can read and write images in a variety of formats (over 200) including PNG, JPEG, GIF, HEIC, TIFF, DPX, EXR, WebP, Postscript, PDF, and SVG.
        scikit-image
        scikit-image is a collection of algorithms for image processing.
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        Decisions about Blitline and OpenCV
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        Reviews of Blitline and OpenCV
        Review ofBlitlineBlitline

        In my opinion blitline is better as it worked perfect for my website http://musicjungle.in So I'm happy with it :)

        How developers use Blitline 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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