Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Dynamicfusion | 344 | a year ago | 34 | bsd-3-clause | C++ | |||||
Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper | ||||||||||
Drowsiness_detection | 337 | 2 years ago | 2 | mit | Jupyter Notebook | |||||
A simple Drowsiness Detection module for humans. 😴 🚫 🚗 | ||||||||||
Grl | 102 | 4 years ago | 67 | other | C++ | |||||
Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration. | ||||||||||
Dreyeve | 65 | 5 years ago | 4 | mit | C | |||||
Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios. | ||||||||||
Drowsydriverdetection | 39 | 6 years ago | 2 | Python | ||||||
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy. | ||||||||||
Ddd Estimator Opencv | 18 | 5 years ago | lgpl-3.0 | Jupyter Notebook | ||||||
Driver Alertness Detection using Ensemble of Regression Trees and Implemented in OpenCV | ||||||||||
Fatigue Detection System Based On Behavioural Characteristics Of Driver | 17 | 5 years ago | mit | Python | ||||||
A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy. | ||||||||||
Eyeblinkedtrex | 11 | 4 years ago | Python | |||||||
Deepeye | 11 | 6 years ago | 3 | mit | Python | |||||
A deep vision-based software library for autonomous and advanced driver-assistance systems. | ||||||||||
Android_sensors_driver | 11 | 7 years ago | 1 | Java | ||||||
ROS Driver for Android Sensors (opencv3 and camera1 API) |