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GitHub / jason-li-831202 / Vehicle-CV-ADAS
The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jason-li-831202%2FVehicle-CV-ADAS
Stars: 137
Forks: 32
Open Issues: 13
License: gpl-3.0
Language: Python
Repo Size: 22.6 MB
Dependencies:
6
Created: over 1 year ago
Updated: 18 days ago
Last pushed: about 1 month ago
Last synced: 16 days ago
Topics: bytetrack, efficientdet, fcws, lane-detection, ldws, lkas, object-detection, onnxruntime, python, pytorch, tensorrt, ultra-fast-lane-detection-v2, yolov5, yolov5-lite, yolov6, yolov7, yolov8, yolov9
Files
Dependencies
- onnx ==1.12.0
- onnxruntime ==1.12.0
- opencv-python ==4.5.4.60
- pycuda *
- scipy *
- torch ==1.12.1