Search Results for "motion graphics"
Sort By:
Showing 7 open source projects for "motion graphics"
View related business solutions-
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
Hero iOS
Elegant transition library for iOS & tvOS
Hero is a library for building iOS view controller transitions. It provides a declarative layer on top of the UIKit’s cumbersome transition APIs—making custom transitions an easy task for developers. Hero is similar to Keynote’s Magic Move. It checks the heroID property on all source and destination views. Every matched view pair is then automatically transitioned from its old state to its new state. Hero can also construct animations for unmatched views. It is easy to define these... -
2
nivo
A rich set of dataviz components
nivo provides a rich set of dataviz components, built on top of the awesome d3 and Reactjs libraries. Several libraries already exist for React d3 integration, but just a few provide server side rendering ability and fully declarative charts. In order to use nivo, you have to install the @nivo/core package and then choose some of the scoped @nivo packages according to the charts you wish to use. Given an array of data series having an id and a nested array of points (with x, y properties),... -
3
The Arcade Library
Easy to use Python library for creating 2D arcade games
Arcade is an easy-to-use Python library for creating 2D video games. It provides a modern and straightforward API, enabling developers to craft engaging games and graphical applications efficiently. Arcade supports rendering shapes, handling user input, and managing game physics, making it suitable for both beginners and experienced developers. -
4
mo · js
The motion graphics toolbelt for the web
mo · js is a javascript motion graphics library that is fast, retina-ready, modular, and open source. In comparison to other libraries, it has a different syntax and code animation structure approach. The declarative API provides you a complete control over the animation, making it customizable with ease. The library provides built-in components to start animating from scratch like HTML, shape, swirl, burst, and stagger, but also brings you tools to help craft your animation in the most natural way. ... -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
5
jeelizFaceFilter
Javascript/WebGL lightweight face tracking library
This JavaScript library detects and tracks the face in real time from the camera video feed captured with WebRTC. Then it is possible to overlay 3D content for augmented reality applications. We provide various demonstrations using main WebGL 3D engines. We have included in this repository the release versions of the 3D engines to work with a determined version (they are in /libs/<name of the engine>/). This library is lightweight and it does not include any 3D engine or third-party library.... -
6
Nerfies
This is the code for Deformable Neural Radiance Fields
...A set of utilities manages dataset preparation, pose estimation, and checkpoints so researchers can reproduce results on their own footage. The work sits at the intersection of graphics and vision, showing how learned volumetric rendering can handle human motion without dense markers or studio rigs. -
7
Simd
High performance image processing library in C++
The Simd Library is a free open source image processing library, designed for C and C++ programmers. It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. The algorithms are optimized with using of different SIMD CPU extensions. In particular the library...
- Previous
- You're on page 1
- Next
