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amap-gps-arlocation icon amap-gps-arlocation

使用高德地图定位将AR模型与经纬度坐标关联并在Android设备上展示(demo)

amazon-sumerian-arcore-starter-app icon amazon-sumerian-arcore-starter-app

A sample Android project that demonstrates how to create a simple augmented reality experience using Google's ARCore with the Amazon Sumerian service.

ar-ml icon ar-ml

Augmented Reality application that gets enhanced by Machine learning.

arcore-depth-lab icon arcore-depth-lab

ARCore Depth Lab is a set of Depth API samples that provides assets using depth for advanced geometry-aware features in AR interaction and rendering. (UIST 2020)

arcore-for-all icon arcore-for-all

Google ARCore (dev preview 1) for "unsupported" Android devices

arcore-location icon arcore-location

Allows items to be placed within the AR world with real-world GPS coordinates using ARCore.

awesome-arkit icon awesome-arkit

A curated list of awesome ARKit projects and resources. Feel free to contribute!

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

densedepthmap icon densedepthmap

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

easechat icon easechat

使用环信SDK3.x版本实现简单集成聊天

geolocation-arcore icon geolocation-arcore

The application serves as a base for any developer to build their own Geolocation AR app. The basic concept of the app is to help a user identify a certain building or location. When the user points their camera at a building, a 3D object like a wooden sign representing the direction and name of the building, is augmented onto their camera view. The user can view this object from any angle, interact with it by touching it for further information about the location. The sample app developed as proof of concept is a UCSC tour app that helps new UCSC students identify cafes, libraries, parking spots and academic building all around campus.

headshot icon headshot

Sample iOS AR app that demonstrates how to capture the texture of a user's face in realtime

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