Vehicle-CV-ADAS icon indicating copy to clipboard operation
Vehicle-CV-ADAS copied to clipboard

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...

Results 20 Vehicle-CV-ADAS issues
Sort by recently updated
recently updated
newest added

I want to submit this project with some modification for final year so do you have any documentation and metrics?

[TensorRT] ERROR: INVALID_STATE: std::exception [TensorRT] ERROR: INVALID_CONFIG: Deserialize the cuda engine failed. Traceback (most recent call last): File "demo.py", line 221, in laneDetector = UltrafastLaneDetectorV2(logger=LOGGER) File "/media/huangzd5/handaphoser/projects/autodrive/Vehicle-CV-ADAS-master/TrafficLaneDetector/ultrafastLaneDetector/ultrafastLaneDetectorV2.py", line 208, in...

bug

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

question

This is a terminal output : ~/workspace/lane_tracking_detection_with_ai/Vehicle-CV-ADAS$ python3 convertOnnxToTensorRT.py -i /home/moveon2/workspace/lane_tracking_detection_with_ai/Vehicle-CV-ADAS/yolov8l.onnx -o /home/moveon2/workspace/lane_tracking_detection_with_ai/Vehicle-CV-ADAS/model.engine Vehicle-CV-ADAS/convertOnnxToTensorRT: input_onnx_model=/home/moveon2/workspace/lane_tracking_detection_with_ai/Vehicle-CV-ADAS/yolov8l.onnx, output_trt_model=/home/moveon2/workspace/lane_tracking_detection_with_ai/Vehicle-CV-ADAS/model.engine, verbose=False 👉 Starting export with TensorRT Version : 10.0.1 [08/05/2024-11:05:51] [TRT] [I] [MemUsageChange] Init...

![image](https://github.com/jason-li-831202/Vehicle-CV-ADAS/assets/71960469/3fcbebb2-0e84-4fdd-9c12-812af0da87a0) 请问大佬,有碰到这个报错吗,怎么解决?非常感谢!

Hi, I have a question regarding the `convertOnnxToTensorRT.py` script in the repository. Is this script only intended for `demo.py` purposes, or can the `ObjectDetector`, `ObjectTracker`, and `TrafficLaneDetector` tasks be executed...

I new with Adas, and I don't know how to run this project. can you tell me what Hardwares do you use? @jason-li-831202 Can I run in my Ubuntu laptop,...

我已經嘗試了多個車道檢測模型。使用 ResNet-18 backbone 的 CULane 模型結果波動較大,而 TuSimple 模型甚至無法顯示任何結果。在 25 幀中,有一兩幀會出現扭曲的疊加/檢測,而且結果完全不正確。非常感謝您在這方面的指導與幫助! I have tried multiple models for lane detection. The CULane model with a ResNet-18 backbone is very unstable, and the...

i can not get file of this : culane_res18.trt kindly send me complete source of lane and detection for help me you can share a trained model and script of...