Closed LINA-lln closed 5 years ago
thanks for your attention, As shown in the paper, the output size for the last layer in the network should be same with the input size.
thanks for your attention, As shown in the paper, the output size for the last layer in the network should be same with the input size.
And the output depth is directly evaluated according to the metrics with no up-sampling to 480*640 in NYUDv2 ? the same as kitti
We first downsampled to half and then center-cropped to 304x228 as input, same with our baseline
Thank you for your code!
according to your eval.py
, you directly compute the metrics on the cropped output depth and gt (eg. 304*228
for nyu), without back to 640*480
?
Hi Thank you very much for your contribution. I have a question when I read your paper. Did you up-sampling the depth to the original size when evaluation?