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Hi,
I have studied your code for a period of time. I have a question want to ask you, does the model"velodyne_025_deconv_norm_valid40" you gived was trained by the first network without deconv layer?because i see it's 100x100x5 rather than 200x200x10, I also trained an model with the second network with deconv layer, but when i test i found it is not as effective as the former model, could you share your experinece to me and tell me why? Thanks so much if you can reply please!
The text was updated successfully, but these errors were encountered:
Hi,
I have studied your code for a period of time. I have a question want to ask you, does the model"velodyne_025_deconv_norm_valid40" you gived was trained by the first network without deconv layer?because i see it's 100x100x5 rather than 200x200x10, I also trained an model with the second network with deconv layer, but when i test i found it is not as effective as the former model, could you share your experinece to me and tell me why? Thanks so much if you can reply please!
The text was updated successfully, but these errors were encountered: