CLRNet
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Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
C++推理后处理不能画出车道线。可以帮忙看一下问题吗 ``` #include #include #include #include #include #include #include #include #include #include #include #include #include #include struct Detection { float background; float foreground; float start_y; float start_x; float theta; float...

训练的时候,是按照save_ep进行模型保存的,我们如何才能知道保存的模型中,哪个是最优的呢?
Could you please tell me why the following error occurs when I try to train the LLAMAS dataset? However, there is no problem with the val. 
首先非常感谢您和团队在 CLRNet 模型上的辛勤付出。近期在阅读了 CLRNetV2 的论文后,对其性能提升与新颖结构非常感兴趣,因此希望了解后续的开源计划。
I used the CULane dataset for training and wanted to use my own data for inference, but encountered the following error:  I only change, dataset_path = './data/CULane'...
有没有哥们用在vil100数据集上?
请问这个必须要在linux跑吗,windows不行吗