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 .

jason-li-831202/Vehicle-CV-ADAS Issues

onxx file convert error !
Updated 20 days ago2
inference on GPU: Missing version information + Error on running demo.py
Closed 21 days ago2
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
Closed a month ago1
大佬，运行demo.py报错，你之前遇到过吗
Closed a month ago6
convertPytorchToONNX.py
Closed a month ago3
python demo.py
Closed a month ago4
Update for yolov10 support
Closed a month ago1
能否出一个ubuntu版本的
Closed 2 months ago2
运行demo.py报错
Updated 2 months ago9
demo.py运行onnx模型时报错
Updated 3 months ago2
Whether there is a train and test code
Closed 3 months ago2
An error occurred when demo.py was running
Closed 3 months ago1
qt.qpa.xcb: could not connect to display :.0
Closed 3 months ago1
errors in the bird's-eye view and the road detection model not working properly
Updated 4 months ago
Trt and onnx files source
Updated 4 months ago8
accuracy of calcDistance(self, boxes) function
Closed a year ago4
Data testing
Updated 4 months ago3
您好，小白请教一下，这个文件是需要自己建立的吗？
Closed 6 months ago1
python demo.py
Closed 8 months ago1
convertPytorchToONNX.py
Closed 9 months ago
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.
Closed 10 months ago5
video demo
Updated 10 months ago
Documentation Requirement
Updated 10 months ago
Errors while running!!
Closed 10 months ago7
pycuda._driver issue
Closed a year ago1
imageDetection.py
Closed a year ago2
Use GPU
Closed a year ago1