Clarification about schematic and Receptive field calculation?
sagarhukkire opened this issue · 16 comments
I was going through schematics and pototxt file. Please correct me if I am wrong
Input volume 128 x 128 x 64 with 1 channel
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VNet uses 16 convolution filter with 5 x 5 x 5 , to get original volume there is padding of zeros with size 2 ,totally fine . Then sub sampling of 2 x 2 x 2 ,then volume size to next stage is 64 x 64 x 32
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Here VNet uses 32 channels again same size of kernel in figure you showed two convolution layer are they 32 channels with kernel size 5 x 5 x 5, 2 times convolution layer ?
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if it is then for next stage 64 channels for 3 times right?
now important thing how you calculate receptive size , you can explain one of them so I will clear myself remaining. I am confused do I consider kernel size or theoretical size 3 x 3 x 3
Thanks for VNet its indeed great working !!
Sagar
hi Sagar
how do you make the dataset sed you network?
link for receptive field calculation ? I followed many articles like dilated convolution and all but no way I can get same numbers as your papers?
So it will be great if you just give me one explanation at any stage then I can figure out remaining calculation for receptive field
Thanks
Sagar
- Which kind of images you have ,I mean medical or something else?
- If medical then I recommend you to use MITK or any tool(MITK ) is great, save image and label (its image with area of body organ)
- Either save it in .mhd format as Fausto said, since VNET uses sitk ,so either .mhd or .nrrd(i work with .nrrd) both are fine
all the best
@sagarax009
my 3D images is medical dataset , how to sent the .mhd farmat to vnet model?
from xu
@sagarax009
I am glad to heard from you ,your reply is so detail , thank you very much
from wxde
I got it in another paper where Author has cited Vnet ..haha its nice to understand. Yes its block wise
Hi @sagarhukkire , were you able to obtain the same receptive field in the upsampling (deconvolutions) path? So far I have only been able to obtain the receptive field in the downsampling path..., I can't obtain the 476 in the R-stage 4
Thanks @sagarhukkire !
EDIT:
I was able to reproduce the receptive field in the paper, I made a small script , I will share it later so other people struggling can use it.