1404 Open source projects that are alternatives of or similar to Augmented_reality

Augmented reality social network, an underworld of discussion and information to every street.

Qt 5 and OpenCV 4 Computer Vision Projects, published by Packt

STag: A Stable Fiducial Marker System

Working examples/tutorial for detection and pose estimation of ArUco markers with C++

Real-time position tracker for behavioral research

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

This project enables you to play virtual drums simply by using concepts of image processing and computer vision.

Android AR Camera

Real-time head pose estimation built with OpenCV and dlib

这是一款短视频编辑 SDK，仿 DouYin 音视频处理。功能包含有美颜、滤镜、贴纸、特效、录制、分段录制、速率录制、变声、配乐、rtmp 直播推流、图片转视频、剪辑,mp4/flv 格式封装等功能。动态库用的我另一个项目编译好的 https://github.com/yangkun19921001/AVFFmpegLib

A C++ Qt GUI desktop program to calculate Harris, FAST, SIFT and SURF image features with OpenCV

A multi-screen player using Qt + FFmpeg.

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

A python program to detect and classify hand pose using deep learning techniques

The hottest High Dynamic Range (HDR) Library

The relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

HoloLens With OpenCVforUnity Example

🎨 graphics + interaction engine

Seamless Augmented Reality module for QML using UchiyaMarkers

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

PoseFlow: Efficient Online Pose Tracking (BMVC'18)

Demos related to OpenGL, Qt/QML, OpenCV and other X technologies.

Aruco Markers for pose estimation

openFrameworks is a community-developed cross platform toolkit for creative coding in C++.

🔥 全面深入地掌握NDK技术，成为下一波5G时代的浪潮儿~

Bring augmented reality to Unity by tracking Aruco markers in real time.

Lightweight game engine.

A sign language interpreter using live video feed from the camera.

Apple music animation demo in Android

An experimental iOS app for rapidly prototyping ARKit experiences with WebGL.

Modern & multiplatform game engine in C++17

一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.

A lock-free CommandBuffer implementation designed for multi-threaded rendering applications.

Vehicle Speed Check

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

.NET library for 1D signal processing focused specifically on audio processing

This component implements transition animation to crumble view into tiny pieces.

Dilithium is a bidirectional shader converter for converting between DXIL and SPIR-V.

X-Ray Engine 1.5 expansion. Original version was used in S.T.A.L.K.E.R.: Clear Sky.

An OpenCV-based structured light processing toolkit.

NextLevel was initally a weekend project that has now grown into a open community of camera platform enthusists. The software provides foundational components for managing media recording, camera interface customization, gestural interaction customization, and image streaming on iOS. The same capabilities can also be found in apps such as Snapchat, Instagram, and Vine.

Blur Detection with OpenCV in Python

A collection of awesome resources in Human Pose estimation.

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

SynthDet - An end-to-end object detection pipeline using synthetic data

Script utilizando OpenCV e modelo Machine Learning para detectar o uso de máscaras.

Recognize tables and text from scanned images that contain tables. 从包含表格的扫描图片中识别表格和文字

Cross-platform modern game engine.

A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (WARNING: Hi, I'm sorry that this project is just tuned for course demo, not for real world applications !!!)

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

Mirror of Gaia Sky repository hosted on Gitlab: https://gitlab.com/langurmonkey/gaiasky

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Creating a software for automatic monitoring in online proctoring

Automated Testing for Set-Top Boxes and Smart TVs

A lightweight (<180KB), easy-to-extend Android filter and dynamic sticker framework for adding filters and stickers for camera, video, bitmap and view.(一个轻量级（<180KB）、易扩展的Android滤镜和动态贴纸框架，支持摄像头、视频、图片和视图添加滤镜和贴纸。)