Cloudinary vs OpenCV

Overview

Cloudinary

Stacks634

Followers594

Votes179

OpenCV

Stacks1.4K

Followers1.1K

Votes101

Cloudinary vs OpenCV: What are the differences?

What is Cloudinary? An end-to-end image & video management solution for your web and mobile applications. Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.

What is 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.

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

Some of the features offered by Cloudinary are:

Upload images to a cloud-based storage
Upload video to cloud-based storage
Automatic backup and revision tracking

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

"Easy setup" is the primary reason why developers consider Cloudinary 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.

ebay, Myntra, and Movielala are some of the popular companies that use Cloudinary, whereas OpenCV is used by Lensley, Athento, and Suggestic. Cloudinary has a broader approval, being mentioned in 115 company stacks & 39 developers stacks; compared to OpenCV, which is listed in 39 company stacks and 39 developer stacks.

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Advice on Cloudinary, OpenCV

Batool

Oct 6, 2021

Needs adviceon

Android 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

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

Cloudinary	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.	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.
Upload images to a cloud-based storage; Upload video to cloud-based storage; Automatic backup and revision tracking; Many image manipulation capabilities & effects; Smart resizing & face detection based thumbnails; Handling PDFs, sprites, watermarks, social profile pictures; Fast CDN delivery with advanced caching; Automatic image optimization; Powerful dashboard, media library and reports; RESTful APIs, intuitive URL based transformations; Image metadata and semantic data extraction; Integration SDKs for web & mobile frameworks; Custom domain (CNAME) support; Authenticated URLs; On-the-fly Video transcoding ; On-the-fly Video overlays;	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 634	Stacks 1.4K
Followers 594	Followers 1.1K
Votes 179	Votes 101
Pros & Cons
Pros 37 Easy setup 31 Fast image delivery 26 Vast array of image manipulation capabilities 21 Free tier 11 Heroku add-on Cons 5 Paid plan is expensive	Pros 37 Computer Vision 18 Open Source 12 Imaging 10 Face Detection 10 Machine Learning
Integrations
Microsoft Azure AppHarbor Heroku Node.js Django WordPress Google App Engine Ruby Python Java	No integrations available

What are some alternatives to Cloudinary, OpenCV?

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 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

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

scikit-image

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

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 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

The universal multimedia toolkit.

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 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.

Piio

Piio, Inc. offers a superior set of products with the most advanced technology for image optimization and web performance. Piio is helping over 5000 companies and developers and delivering billions of images to users around the globe.