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https://github.com/sea-me-coss/perception
https://github.com/sea-me-coss/perception
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/sea-me-coss/perception
- Owner: SEA-ME-COSS
- Created: 2024-01-02T11:58:58.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-28T10:35:23.000Z (6 months ago)
- Last Synced: 2024-09-17T23:09:39.713Z (4 months ago)
- Language: Python
- Size: 64.9 MB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Perception
This repository is for the **Perception** part of the [Autonomous-Driving-System](https://github.com/SEA-ME-COSS/Autonomous-Driving-System) project.
-----------------------------------
### Train Dataset
- Gazebo
- Traffic Light
- Red (546 images)
- Yellow (451 images)
- Green (599 images)
- RoundAbout (890 images)
- Crosswalk (926 images)- Real World
- Traffic Light
- Red (360 images)
- Yellow (30 images)
- Green (211 images)
- RoundAbout (350 images)
- Crosswalk (296 images)
- Lane------------------------------------
### Labelling
- Tools
- https://github.com/HumanSignal/labelImg
- https://github.com/labelmeai/labelme (For lane detection)------------------------------------
### Model
- Yolov8
- https://docs.ultralytics.com/ko
- https://github.com/ultralytics/ultralytics------------------------------------
### Usage
- /data/main.py
- Make raw dataset from rosbag- /object_detect/objectDetect.py
- Detect object in Gazebo simulation- /object_detect/real.py
- Detect object in real world