Comments (2)
nwojke
commented on June 30, 2024
Hi tonmoyborah,
sorry for the late reply, I hope my answer it still helps.
- For ImageNet pretraining you could either write your own training script around the network architecture code provided in this repository or you try to integrate a pretrained network into this repository. I am not sure what is the better fit in your case.
- We didn't do test time augmentation.
- It is best to do data augmentation on the fly, i.e., load raw images and their labels from disk, then manipulate the image data according to data augmentation, then place it in the training queue. This way, you won't have any issues with filenames and don't generate excessive amounts of data on your hard drive.
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nwojke
commented on June 30, 2024
I am closing this issue due to inactivity. Re-open if the problem is not solved.
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