SAM 3D vs scikit-image

Overview

scikit-image

Stacks311

Followers129

Votes12

GitHub Stars6.4K

Forks2.3K

SAM 3D

Stacks0

Followers1

Votes1

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FFMPEG Image Optimization

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Detailed Comparison

scikit-image	SAM 3D
scikit-image is a collection of algorithms for image processing.	Explore SAM 3D to reconstruct 3D objects, people and scenes from a single image. Build 3D assets faster with SAM 3D Objects and SAM 3D Body.
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	Image-to-3D Reconstruction, Single-Image Human Body 3D Modeling, 3D Scene Generation from Photos, Fast & Ultrafast 3D Mesh Generation, PBR Material Auto-Creation, Web-based API for 3D Reconstruction, Export GLB/OBJ with Textures, SAM 3D Body Model Support
Statistics
GitHub Stars 6.4K	GitHub Stars -
GitHub Forks 2.3K	GitHub Forks -
Stacks 311	Stacks 0
Followers 129	Followers 1
Votes 12	Votes 1
Pros & Cons
Pros 6 More powerful 4 Anaconda compatibility 2 Great documentation	No community feedback yet

What are some alternatives to scikit-image, SAM 3D?

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.

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.

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.

NanoNets

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

Cloudimage

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

Inferrd

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

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.