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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.
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?
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.
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.
Pros of Cloudinary
- Easy setup37
- Fast image delivery31
- Vast array of image manipulation capabilities26
- Free tier21
- Heroku add-on11
- Reduce development costs9
- Amazing support7
- Heroku plugin6
- Great libraries for all languages6
- Virtually limitless scale6
- Easy to integrate with Rails5
- Cheap4
- Shot setup time3
- Very easy setup3
- Solves alot of image problems.2
- Best in the market and includes free plan1
- Extremely generous free pricing tier1
- Fast image delivery, vast array0
Pros of OpenCV
- Computer Vision36
- Open Source17
- Imaging12
- Face Detection9
- Machine Learning9
- Great community6
- Realtime Image Processing4
- Helping almost CV problem2
- Image Augmentation2
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Cons of Cloudinary
- Paid plan is expensive5
