Martin Liao-WHU

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Please refer to the tutorial of the MMsegmentation codebase.

Thanks for your interest. I have uploaded the pre-processed camvid/PASCAL datasets to [onedrive](https://whueducn-my.sharepoint.com/:f:/g/personal/martin_liao_whu_edu_cn/EjklDmgVOitPrhuAwy6h6EkBPkyTvnlCkTN0BdjPIIc6xA?e=1i6D4Z) and [baidu-disk](https://pan.baidu.com/s/1DD1LkEaTFUtabbJtTh_8iw?pwd=tpe4) (passwd: tpe4). I will fix the error in the pre-processing code later.

If you want to train the Mobile-Seed on the custom dataset, you must first generate the semantic boundary label as supervision. Please refer to [link](https://github.com/WHU-USI3DV/Mobile-Seed/blob/main/README.md#L101)(Line 101) for details.

We recommend using the ``demoPreproc_gen_png_label.m`` script for training and the ``demoGenGt.m`` script for evaluation. This is because the semantic boundary labels used during training have been bolded. In the MATLAB...

Inheriting from the ``CityscapesDataset`` is similar. Both are OK. I surmise that the “processing method” implies data pre-processing. For boundary labels and semantic labels, everything remains consistent.