Details about fine-tune in the Flyingthings3D
CXMANDTXW opened this issue · 3 comments
Can you tell me the number of training iterations for finetune on flyings3d after pre training on flyingchairs? Would you like to use s-fine to train 0.5m iterations after flyingchairs 1.2m iterations, or restart using long + sfine for a total of 1.7m iterations?
Hi,
Please see ./network/config/MaskFlownet_ft.yaml
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Thank you for your reply.I have checked this document.
In addition, I would like to ask if the file size you uploaded to MPI Sintel benchmark is the original size (436x1024)?
I found if we use the baseline model like PWC-Net, when we downsample several times, 436 will be wrong.I always use crop size(384, 1024) to test PWC-Net.
I really hope to get your help.
Best wishes
We uploaded the prediction to MPI Sintel benchmark in its original size of course.
When doing inference, the size image are resize/crop to, for example, (448, 1024), since we can downsample (/2) and upsample (x2) it then.