| streamlit/demo-self-driving |
1,057 |
|
0 |
0 |
almost 3 years ago |
0 |
|
9 |
apache-2.0 |
Python |
| Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO. |
| NirmalSilwal/Deep-Learning |
19 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈 |
| marcomarasca/SDCND-Traffic-Light-Detection |
17 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Traffic Light Detection using the tensorflow object detection API |
| Heych88/udacity-sdcnd-vehicle-detection-and-tracking |
8 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Object detection and tracking for a vehicles on-board camera using either an OpenCV method or the YOLO Darkflow Convolutional neural network (CNN) libruary, as apart of the Udacity Self-driving car nano degree project 5, |
| mkoehnke/CarND-Capstone |
7 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| ROS-based code to control a real Self-Driving Car. Final project in Udacity's Self-Driving Car Engineer Nanodegree. |
