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 .
PythonGPL-3.0
Issues
- 2
onxx file convert error !
#27 opened by ahmet-f-gumustas - 2
- 1
请问图像输入分辨率有要求吗,yolov8m的图像输入是否需要跟车道先检测一致呢
#8 opened by snow-wind-001 - 6
大佬,运行demo.py报错,你之前遇到过吗
#3 opened by Handaphoser - 3
convertPytorchToONNX.py
#4 opened by Minnchong - 4
python demo.py
#17 opened by 1623021453 - 1
Update for yolov10 support
#23 opened by AekSW - 2
能否出一个ubuntu版本的
#25 opened by 1623021453 - 9
运行demo.py报错
#18 opened by 1623021453 - 2
demo.py运行onnx模型时报错
#24 opened by TJW-XMUT - 2
Whether there is a train and test code
#19 opened by nj888-art - 1
An error occurred when demo.py was running
#22 opened by TJW-XMUT - 1
qt.qpa.xcb: could not connect to display :.0
#20 opened by nj888-art - 0
errors in the bird's-eye view and the road detection model not working properly
#21 opened by zhaopddw - 8
Trt and onnx files source
#1 opened by hamaadtahiir - 4
- 3
Data testing
#7 opened by nqkhanh2002 - 1
您好,小白请教一下,这个文件是需要自己建立的吗?
#14 opened by SilaLiu - 1
python demo.py
#16 opened by 1623021453 - 0
convertPytorchToONNX.py
#15 opened by Jilin-Cancer - 5
File "F:\Yolop\Vehicle-CV-ADAS\TrafficLaneDetector\ultrafastLaneDetector\ultrafastLaneDetectorV2.py", line 426, in process_output return np.array(list(lanes_points.values())), list(lanes_detected.values()) ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (4,) + inhomogeneous part.
#9 opened by chelsea456 - 0
video demo
#13 opened by chelsea456 - 0
Documentation Requirement
#12 opened by Tomhandson1029 - 7
Errors while running!!
#11 opened by Tomhandson1029 - 1
pycuda._driver issue
#10 opened by Tomhandson1029 - 2
imageDetection.py
#2 opened by Minnchong - 1
Use GPU
#6 opened by nqkhanh2002