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  1. Stackups
  2. Application & Data
  3. Image Optimization
  4. Image Processing And Management
  5. Blitline vs OpenCV

Blitline vs OpenCV

OverviewDecisionsComparisonAlternatives

Overview

Blitline
Blitline
Stacks6
Followers9
Votes0
OpenCV
OpenCV
Stacks1.4K
Followers1.1K
Votes101

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.

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Advice on Blitline, OpenCV

Batool
Batool

Oct 6, 2021

Needs adviceonAndroid StudioAndroid Studio

I want to make a video template where we can change images and make a new video with template animation text and song but the images are our and the image which is chosen from a user can convert into different shapes just like cartoon or childhood or old age and at the last show both images in the template video. How I can do it in Android Studio?

31.2k views31.2k
Comments
Steve
Steve

Lead Software Tools Engineer at Leonardo UK

Oct 24, 2021

Review

Since I believe Android Studio now supports Python plugins &/or invoking Python scripts I personally would use MoviePy (https://zulko.github.io/moviepy/) as a wrapper around FFMPEG &

ImageMagick (https://www.imagemagick.org/script/index.php) - this combination will allow you to have a script that takes in an image or video, resizes it to a specified size, adds the text, (either scrolling it in or fading in/out or even with some special effects), then saves the output video. There are example scripts on the MoviePy site on how to do these. While you could do it yourself with FFMPEG & ImageMagick plus command line parameters I personally find using MoviePy much more clear & maintainable.

If you want the end user to be able to supply the image/video then you will need to set up a server somewhere that can take in the POSTed image and return the processed results.

11.9k views11.9k
Comments

Detailed Comparison

Blitline
Blitline
OpenCV
OpenCV

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 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.

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.;Cheap- No lock-in with us. We push your photos to your storage. We don't want to host your photos and charge you a monthly fee.;Cross Platform- We use a JSON only API that lets you build complex image processing actions accessible from any language or platform;Safe- Worried about making a dependency on a company that might "go away". Founded in 2011, we have been cash positive for quite some time.;Smart- We have been building large scale, enterprise apps for decades. We are your smart choice.;Low Risk- Pay ONLY for what you use. Even when your service explodes and you are processing huge amounts of images, you get deep discounts for using Blitline.
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
Statistics
Stacks
6
Stacks
1.4K
Followers
9
Followers
1.1K
Votes
0
Votes
101
Pros & Cons
No community feedback yet
Pros
  • 37
    Computer Vision
  • 18
    Open Source
  • 12
    Imaging
  • 10
    Face Detection
  • 10
    Machine Learning
Integrations
Amazon S3
Amazon S3
Heroku
Heroku
No integrations available

What are some alternatives to Blitline, OpenCV?

Cloudinary

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

imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.

ImageKit

ImageKit

ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.

Cloudimage

Cloudimage

Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast.

scikit-image

scikit-image

scikit-image is a collection of algorithms for image processing.

Kraken.io

Kraken.io

It supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to its API.

ImageEngine

ImageEngine

ImageEngine is an intelligent Image CDN that dynamically optimizes image content tailored to the end users device. Using device intelligence at the CDN edge, developers can greatly simplify their image management process while accelerating their site.

FFMPEG

FFMPEG

The universal multimedia toolkit.

GStreamer

GStreamer

It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.

GraphicsMagick

GraphicsMagick

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.

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