Comments (2)
Hello,
that's a good observation and you are perfectly right. Actually we directly trained the NYU model with the interleaved convolutions, in which case the order of the asymmetric padding does not matter. There we set it arbitrarily, to be honest.
However, when converting the model from the slower 5x5 version to the faster one, the padded side matters to get equivalent results. Our Make3D model was only trained in the 5x5 conv setup and consecutively converted using the correct padding (as you point out too).
Thanks for your comment!
from fcrn-depthprediction.
Thanks for the clarification.
Cheers.
from fcrn-depthprediction.
Related Issues (20)
- NYU Depth results link not working
- make3d
- Output upsampling to original resolution HOT 1
- Question about the evaluation method
- Could not find Implementation of its Application for SLAM??
- units for the depth map HOT 1
- Model transfer
- Can this code be used to obtain depth from kitti images? HOT 1
- training code for tensorflow
- Tensorflow model for Make3D? HOT 1
- Output of predict.py HOT 1
- Not getting good result after training HOT 2
- Got a core dumped issue
- How to make ground truth
- How should the input size be filled
- what can the depth esitimation picture do? HOT 4
- Matlab; invalid input syntax HOT 3
- Running predict.py on multiple images
- Why loss the link of .ckpt file ? HOT 1
- CKPT url not working HOT 2
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