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Thanks a lot for sharing your code. I am confused that both the lanenet and h-net have the same groundtruth from the paper,but the readme file on github said that I need to organize my training data refer to the data/training_data_example folder structure.I want to know when I train my own modle on tusimple dataset which has json file as label data, if i need to prepare binary segmentation and instance segmentation images as groundtruth for training, and how to deal the images to obtain instance label?
The text was updated successfully, but these errors were encountered:
Thanks a lot for sharing your code. I am confused that both the lanenet and h-net have the same groundtruth from the paper,but the readme file on github said that I need to organize my training data refer to the data/training_data_example folder structure.I want to know when I train my own modle on tusimple dataset which has json file as label data, if i need to prepare binary segmentation and instance segmentation images as groundtruth for training, and how to deal the images to obtain instance label?
The text was updated successfully, but these errors were encountered: