Comments (3)
I haven't encountered this issue before, could you provide me with the error traceback? Also, if you want better performance, I suggest using the ultra-fast lane detection v2 version would be better.
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I also encountered a similar problem where the operation was terminated abnormally
C:\Users\86152\anaconda3\envs\lane-det\python.exe C:/Users/86152/Desktop/AI/code/Vehicle-CV-ADAS-master/TrafficLaneDetector/convertPytorchToONNX.py
Model Type : UFLDV2_TUSIMPLE
C:\Users\86152\anaconda3\envs\lane-det\lib\site-packages\torchvision\models_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
f"The parameter '{pretrained_param}' is deprecated since 0.13 and may be removed in the future, "
C:\Users\86152\anaconda3\envs\lane-det\lib\site-packages\torchvision\models_utils.py:223: UserWarning: Arguments other than a weight enum or None
for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing weights=ResNet18_Weights.IMAGENET1K_V1
. You can also use weights=ResNet18_Weights.DEFAULT
to get the most up-to-date weights.
warnings.warn(msg)
Process finished with exit code -1073741819 (0xC0000005)
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In torchvision 0.13, there were updates to the pre-trained model loading. I believe there might be compatibility issues with the provided .pth files by the original author.
you can download the onnx model using the following script: https://github.com/PINTO0309/PINTO_model_zoo/blob/main/324_Ultra-Fast-Lane-Detection-v2/download.sh.
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Related Issues (20)
- pycuda._driver issue HOT 1
- Errors while running!! HOT 7
- Documentation Requirement
- video demo
- 您好,小白请教一下,这个文件是需要自己建立的吗? HOT 1
- convertPytorchToONNX.py
- python demo.py HOT 1
- python demo.py
- 运行demo.py报错 HOT 7
- Whether there is a train and test code HOT 2
- imageDetection.py HOT 2
- qt.qpa.xcb: could not connect to display :.0 HOT 1
- errors in the bird's-eye view and the road detection model not working properly
- 大佬,运行demo.py报错,你之前遇到过吗 HOT 6
- accuracy of calcDistance(self, boxes) function HOT 4
- Use GPU HOT 1
- Data testing HOT 3
- 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 HOT 1
- 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. HOT 5
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