Comments (7)
reply??
from vehicle-cv-adas.
I think it's caused by the Python version. You can try downgrading the version.
from vehicle-cv-adas.
I have the latest version python 3.11.5
from vehicle-cv-adas.
I think it's caused by the Python version.
Could you please rewrite the following code :
https://github.com/jason-li-831202/Vehicle-CV-ADAS/blob/a1d37a6bbddecfc311a215abb50fe30aaec2d0a9/TrafficLaneDetector/ultrafastLaneDetector/ultrafastLaneDetectorV2.py#L426C1-L426C78
Replace with the following line :
-> return np.array(list(lanes_points.values()), dtype="object"), list(lanes_detected.values())
from vehicle-cv-adas.
Yeah thanks it resolved but one problem is there
[TRT] [E] 3: [engine.cpp::nvinfer1::rt::Engine::getUserRegion::1312] Error Code 3: Internal Error (call of getBindingDimensions with invalid bindingIndex -1)
and also
PyCUDA ERROR: The context stack was not empty upon module cleanup.
A context was still active when the context stack was being
cleaned up. At this point in our execution, CUDA may already
have been deinitialized, so there is no way we can finish
cleanly. The program will be aborted now.
Use Context.pop() to avoid this problem.
from vehicle-cv-adas.
I think that doesn't have much impact on the demo.
from vehicle-cv-adas.
I think that doesn't have much impact on the demo.
ok but one more this the lane are not getting properly detected and fps is low
from vehicle-cv-adas.
Related Issues (20)
- pycuda._driver issue HOT 1
- 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 9
- Whether there is a train and test code 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
- An error occurred when demo.py was running HOT 1
- Update for yolov10 support HOT 1
- demo.py运行onnx模型时报错 HOT 2
- 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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from vehicle-cv-adas.