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acmix

Official repository of ACmix (CVPR2022)

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

autorate

Code for AutoRate(FG2019) and Face Analysis for Driver Inattention(IEEE Biometrics)

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

awesome-vit

convnext

Code release for ConvNeXt model

convnext-v2

Code release for ConvNeXt V2 model

cswin-transformer

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

distracted-driver-detection-with-deep-learning

This project aims to detect the dangerous status of driving based on the images captured by the dashboard camera using deep learning.

distracted-drivers-keras

Starter project for the Kaggle State Farm Distracted Driver Detection Competition

distracted-drivers-tf

Starter project for the Kaggle State Farm Distracted Driver Detection Competition

distracteddriverdetection

In a Kaggle competition, where State Farm ask people to find the type of distracted driving behavior from dash cam pictures taken inside of the cars

driver-anomaly-detection

driver-behavior-git

driver-distraction

driver-distraction-detection

Categorizing actions of driver and coining them safe or unsafe - Using Convolutional Neural Networks - 1) Caffe with pre-trained model of AlexNet on ImageNet Dataset; 2) Fine-Tuned Caffe Model

driver-fatigue-detection-system

drowsiness detection

driver-sleep-detection-system

As part of my thesis project, I designed a monitoring system in Matlab which processes the video input to indicate the current driving aptitude of the driver and warning alarm is raised based on eye blink and mouth yawning rate if driver is fatigue. It is implemented using Viola-Jones and Sobel techniques for facial features detection.

driver_fatigue_detection

Camera-based Driver Fatigue Detection and Warning System

driverdetection

A script that detects if the driver is distracted or not.

drowsydriverdetection

Drowsy driver detection using Keras and convolution neural networks.

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

face-analysis-sdk

Facial detection, landmark tracking and expression transfer library for Windows, Linux and Mac

few_shot_gaze

Pytorch implementation and demo of FAZE: Few-Shot Adaptive Gaze Estimation (ICCV 2019, oral)

focusdays2015-eyes2drive

Keep your eyes on the street while driving. This app alerts drowsy and distracted car drivers using face detection with camera. eyes2drive comes with an Apple Watch extension to show your trip events, to be able to start and stop your trip with via the Watch and most important get a Notification if a RED alert (long distraction) occured. eyes2drive is using state-of-the-art face detection algorithms using OpenCV algorithms to detect the face, eyes closing and head distraction.

gpcyclegan

Datasets, code and models from our driver gaze estimation works over the last few years.

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

handynet

Akshay Rangesh and Mohan M. Trivedi, "HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands," IEEE Conference on Computer Vision and Pattern Recognition - 3D HUMANS Workshop, 2018.