Comments (4)
This batch size is specifically mentioned in the paper, and it is necessary to use size 1 for training EfficientAD.
For validation, it's also 1 because of how this implementation works, but it can be a different number if you change the code.
from efficientad.
what if batch size > 1 in the train process?
from efficientad.
because it need 10Gb+ memory when training by one
from efficientad.
what if batch size > 1 in the train process?
maybe out of memory size.
from efficientad.
Related Issues (20)
- Why change the output size to 56 * 56,instead of 64 * 64
- Asking about deployment of onnx format models HOT 1
- error happend when training teacher_small.pth by my self.
- Pretrained weights
- The source of teacher weights HOT 2
- Pixelwise_AUC isn't evaluated?
- The image_size HOT 2
- The feature size not the same with the papar
- about the validation of the MvTec-AD LOCO dataset HOT 1
- Can you share the teacher model pretrained from imagenet?
- The output size of the network is inconsistent with the description in the paper HOT 1
- If padding=True, worse results but good segmentation precision. Why?
- Distilled teacher model HOT 2
- The provided Google Drive URL is not available anymore HOT 1
- 缺陷检测交流微信群,互相交流学习进步 HOT 17
- How inteprete the hyper parameter table?
- [BUG] In some cases the quantile may lead to NAN exception or divide zero exception . HOT 1
- Question about training steps used to achieve reported performance
- result of inference on broken large bottle
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from efficientad.