OpenCV vs scikit-image vs Firesize | What are the differences? | StackShare

Firesize vs OpenCV vs scikit-image

Overview

OpenCV

Stacks1.3K

Followers1.1K

Votes101

scikit-image

Stacks269

Followers129

Votes12

GitHub Stars6.4K

Forks2.3K

Firesize

Stacks0

Followers6

Votes0

GitHub Stars93

Forks36

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Advice on OpenCV, scikit-image, Firesize

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

OpenCV	scikit-image	Firesize
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.	scikit-image is a collection of algorithms for image processing.	Firesize is a hosted image processing proxy. It's focused on doing one thing fast: resizing and cropping images on demand. It's a simple url based API allows you to quickly generate images on demand.
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	Provides I/O, filtering, morphology, transformations, measurement, annotation, color conversions, test data sets, etc.;Written in Python with a well-commented source code;Has had 5,709 commits made by 116 contributors representing 29,953 lines of code;Released under BSD-3-Clause license	Processing options specified via URL;URL signing (for security);Process images from anywhere (no uploading to Firesize required);Local caching
Statistics
GitHub Stars -	GitHub Stars 6.4K	GitHub Stars 93
GitHub Forks -	GitHub Forks 2.3K	GitHub Forks 36
Stacks 1.3K	Stacks 269	Stacks 0
Followers 1.1K	Followers 129	Followers 6
Votes 101	Votes 12	Votes 0
Pros & Cons
Pros 37 Computer Vision 18 Open Source 12 Imaging 10 Face Detection 10 Machine Learning	Pros 6 More powerful 4 Anaconda compatibility 2 Great documentation	No community feedback yet
Integrations
No integrations available	No integrations available	Heroku

What are some alternatives to OpenCV, scikit-image, Firesize?

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 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.

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.