Input shape and deconvolution usage

[animebing]

Recently I am running your prediction code which is the predict.py, during the time, i found that you are not using the whole image as input, just a part of the image. you pad the original image with reflection and divide it into several parts, the confusing thing is that the adjacent parts overlap with each other, but their prediction just concatenate directly, which is really confusing.

In addition, when I read the prototxts, I notice that you add a deconvolution layer for upsampling in dilation10_cityscapes_deploy.prototxt, but not in other 3 prototxts, just interpolate the final class prediction. Why do you deal with them differently?

I am looking forward for your reply, thank you