zfturbo / efficientnet_3d Goto Github PK
View Code? Open in Web Editor NEWEfficientNets in 3D variant for keras and TF.keras
License: MIT License
EfficientNets in 3D variant for keras and TF.keras
License: MIT License
model = efn.EfficientNetB0(input_shape=(64, 64, 64, 3), weights='imagenet') in this line
Hi,
It took me more than 5 minutes to load the model but it still fails. Could you help me with it?
Hello,
This is a great work and thank you. From your README I assume you do pretrain in the imageNet? How to pretrain a 3D model in a 2D image dataset? Thanks!
Best,
Jieneng
Hi,
As a part of improving my 3d mri scan classification. 2d efficient net was just not capable for 3d , so I used this repo. I have a average kaggle gpu , but when I used this model with shape (50, 18,18,3) and ran model.fit , training did not start it only printed 'Epoch 1/10' even with steps_per_epoch=1 . Tried running it on a single image, with predict function still nothing pops up. This is not an computation problem as pytorch users ran it successfully without any problem, though they used grayscale image. And bigger image size.
Help will be appreciated,
Thank you
Hello! Can you specify license for this repo/package?
x= tfn.EfficientNetB3(input_shape=input_image,weights='imagenet')(input_image)
compile error with this code, is it not supported yet?
My dimensions of MRI are (182,218,182 ).
I have to convert my training dataset from (182,218,182) to (182,218,182,3).
Need your help guys.
Hi @ZFTurbo ,
Thanks for sharing this amazing work. I am able to import the pretrained efficient_3D but later while setting the batchnorm layer to the inference mode by below code. Facing issue:
Any suggestion or help would be appreciated!
Best,
Dilip
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