Question on training process on CityScape dataset

[Hustchenqi]

As described in article, the author said "we first resize an image by a ratio randomly sampled from [0.7, 1.3], and then generate a sample by cropping one 500×500 subwindow at a randomly selected location." If the input image is scaled, the ground truth should also be resized. Whether it is reasonable to resize a label map? I know the authors gave different interpolation methods in "util.py" , but I don't know if it is reasonable.

[ChidanandKumarKS]

hai all, what is the command to execute training procedure for cityscape semantic segmentation? any updates on training codes for semantic segmentation?