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Hi everyone,
i want to train on several datasets, lets say Kitti2012&Kitti2015 or Kitti2012&Middlebury.
The first idea was to combine the datasets in data.kitti/unzip/training/... and data.kitti2015/unzip/training/.... But i´m not quite sure if this is right due to different binary files like metadata.bin or dispnoc.bin.
Then i saw the option "-at" in the main.lua with an if-case opt.at == 1 then..., where the tensors of kitti2012&2015 will be concatenated.
So the questions are:
Is the network trained on kitti12/15, when i simply add the "-at 1" option in the command?
and is this also possible for the Middlebury dataset?
Many thanks in advance!
Regards,
Marc
The text was updated successfully, but these errors were encountered:
Hi everyone,
i want to train on several datasets, lets say Kitti2012&Kitti2015 or Kitti2012&Middlebury.
The first idea was to combine the datasets in data.kitti/unzip/training/... and data.kitti2015/unzip/training/.... But i´m not quite sure if this is right due to different binary files like metadata.bin or dispnoc.bin.
Then i saw the option "-at" in the main.lua with an if-case opt.at == 1 then..., where the tensors of kitti2012&2015 will be concatenated.
So the questions are:
Many thanks in advance!
Regards,
Marc
The text was updated successfully, but these errors were encountered: