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imgix vs OpenCV: What are the differences?

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

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

Some of the features offered by imgix are:

  • Process Images - Resize, crop, and composite multiple images simply by changing their URLs.
  • Optimize Images - Change output formats, device-pixel ratios, and chroma subsampling rates.
  • Make Images Responsive - Easily integrate imgix into the latest HTML5 responsive image standards without reprocessing your entire image library.

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

"Image processing on demand" is the primary reason why developers consider imgix over the competitors, whereas "Computer Vision" was stated as the key factor in picking OpenCV.

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.

Lensley, Athento, and Suggestic are some of the popular companies that use OpenCV, whereas imgix is used by Coursera, Product Hunt, and Zillow. OpenCV has a broader approval, being mentioned in 39 company stacks & 39 developers stacks; compared to imgix, which is listed in 55 company stacks and 6 developer stacks.

Advice on imgix and OpenCV
Needs advice
on
FFMPEGFFMPEG
and
OpenCVOpenCV

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?

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Replies (2)

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.

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Hi! I will start by asking questions before giving specific advice, because there is the need to understand better what you want to do, and there will be a number of steps and choices to take, therefore there is not "the one" advice to give here.

First of all, afaiu you want to implement the described video processing on Android?

If that is the case, you will have to create or use native bindings to Java runtime (JNI i.e Android NDK) in order to access FFmpeg or OpenCV or any other C lib itfp. My first advice is therefore, you should check how feasible that is (existing bindings working for your target JRE etc).

Further, i find the description of what you want to produce quite unspecific. I guess parts of what you want to do with either sourced videos or images can be achieved with ffmpeg or opencv based processing.

In the end you just need to start writing some kind of processing steps with either. Once it gets more specific in details you can probably ask more specific questions on how to use these libs or even other tools.

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Pros of imgix
Pros of OpenCV
  • 28
    Image processing on demand
  • 24
    Easy setup
  • 18
    Reduce Development Costs
  • 18
    Smart Cropping
  • 15
    Efficient
  • 12
    Insanely Fast
  • 11
    Filters, resizing, blur and more as url parameters
  • 10
    Easy to understand pricing
  • 9
    Professional Features and Options
  • 6
    Excellent Face Detection
  • 6
    Lightyears better than ImageMagick
  • 5
    S3 as source
  • 4
    Scales to your company's needs
  • 4
    Great for Dynamic Compositing
  • 1
    Amazing support
  • 1
    Great libraries and integrations
  • 1
    Video encoding
  • 1
    Automatic scrset generation
  • 1
    Fast Image Delivery
  • 1
    Free tier
  • 36
    Computer Vision
  • 17
    Open Source
  • 12
    Imaging
  • 9
    Face Detection
  • 9
    Machine Learning
  • 6
    Great community
  • 4
    Realtime Image Processing
  • 2
    Image Augmentation
  • 2
    Helping almost CV problem

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What is imgix?

imgix is the leading visual media platform that businesses choose to improve user experience, website performance, and cost-saving. imgix offers robust image and video processing, global content delivery, and intelligent asset management.

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 companies use imgix?
What companies use OpenCV?
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What are some alternatives to imgix and OpenCV?
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.
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.
CloudFlare
Cloudflare speeds up and protects millions of websites, APIs, SaaS services, and other properties connected to the Internet.
Fastly
Fastly's real-time content delivery network gives you total control over your content, unprecedented access to performance analytics, and the ability to instantly update content in 150 milliseconds.
Uploadcare
Uploadcare is a complete file handling platform for online business. Receive files from you users via File Uploader or File Upload API, implement image optimization and transformations with Image CDN API, and get HIPAA-compliant storage.
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