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Name: CV
Type: Organization
Bio: Photogrammetry & Computer Vision, 3D Reconstruction
Location: ECUT
Name: CV
Type: Organization
Bio: Photogrammetry & Computer Vision, 3D Reconstruction
Location: ECUT
Generative Adversarial Nets for Matlab
TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Implementation of the paper: A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
designed an Iot device using various sensors to alert the driver whenever he is suspected to be drowsy to avoid accidents and if an accident is detected message his emergency contacts about his location.
Adversarial Complementary Learning for Weakly Supervised Object Localization
code of our work : Adaptive Exploration for Unsupervised Person Re-Identification
ADE20K Dataset
Establishing a driver alert mechanism for drowsy drivers by detecting the visual aspects of the person
Lane Detection for Self-Driving Car, using Computer Vision Techniques
The classical paper list with code about generative adversarial nets
AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
Vehicle accidents at night due to drowsiness in drivers take thousands of lives each year worldwide, our application can help and prevent such accidents and save lives by sending alarm alerts.
Artificial Intelligence System for Prohibited Item Detection in X-ray Baggage Images
The aim of this project is to use a deep learning approach to design and evaluate an algorithm for detecting drowsiness related lane departures based on a time series feature.
This repository contains AlHeprin-Driver-Drowsiness-Detecion Prject with a GUI made using Tkinter.
Driver Drowsiness Detection
Anomaly detection related books, papers, videos, and toolboxes
An application to alert the driver of a vehicle when drowsiness is detected in the driver.
Platform to prevent distracted driving and help drowsy drivers 🚗(Top 10 @ HackTheValley 4 :trophy:)
APRCP HRNet: Adaptive Pruning Rate Channel Pruning for HRNet Applied to 2D Human Pose Estimation
A vision library for genicam based cameras
Miscellaneous files and tools related to aravis library development
A Deep Learning based project for creating line art portraits.
Adaptive Sparse Representations for recognition of faces and facial attributes
Object detection task. Detect various objects (including dangerous ones like guns, knives etc ) present in bags from X-ray images of bags. Such systems may be used in airport or railway station security checkpoints.
An Automated Visual Inspection Tool that has been tested for the Oily mechanical components but can be used for different prospects like, errors in any Glass equipment or X-Rays etc.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.