Cmpe295 Masters Project
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Demo Self Driving | 1,057 | a year ago | 9 | apache-2.0 | Python | |||||
| Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO. | ||||||||||
| Mscnn | 392 | 5 years ago | 55 | C++ | ||||||
| Caffe implementation of our multi-scale object detection framework | ||||||||||
| Car Counting And Speed Estimation Yolo Sort Python | 149 | 2 years ago | 3 | other | Python | |||||
| This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation | ||||||||||
| Autonomousdriving | 49 | 6 years ago | 1 | Java | ||||||
| Java Autonomous Driving Appplication. Real time video car,pedistrians detection | ||||||||||
| Trafficvision | 42 | 5 years ago | 2 | mit | C++ | |||||
| MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit. | ||||||||||
| Intelligent Transportation System | 35 | a year ago | 31 | mit | Python | |||||
| CV integrated project. Including MOT to track cars and pedestrians, object detection and image classification to get license plate content, semantic segmentation to get zebra crossing, tradition method to get area of lanes .etc. | ||||||||||
| Attentional Pointnet | 34 | 5 years ago | 3 | gpl-3.0 | Python | |||||
| Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds | ||||||||||
| Adas Moving Object Detection | 31 | 8 years ago | C++ | |||||||
| it's a tool to find out the moving object in dynamic background (especially while car driving) based on OpenCV and VS2013. | ||||||||||
| Smart Park With Yolo V3 | 26 | 5 years ago | Python | |||||||
| Maintaining empty parking spot count using YOLO real-time vehicle detection. Code readily runnable in google colab. | ||||||||||
| Didi Competition Solution | 14 | 7 years ago | CMake | |||||||
| ROS nodes for visualization, calibration, car and passenger detection for Didi autonomous driving competition. | ||||||||||
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