nelson1425 EfficientAD issues

nelson1425 / EfficientAD

Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

https://arxiv.org/abs/2303.14535

Apache License 2.0

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issues

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How to train own‘s pass dataset img and test ng dataset img?

#49 ZhuJD-China opened 4 days ago
0
Is it possible to change the input image size?

#48 Itaru-aso opened 6 days ago
0
i got bad result compare 90.1 (mvtec loco)

#47 parkkyungjun opened 1 week ago
0
Wide-ResNet101_2

#46 A0401A opened 2 weeks ago
0
I found the test code, but how do I run it as a standalone Python script?

#45 QingXu51820 opened 3 weeks ago
0
how to test one img？

#44 czy5638222 opened 1 month ago
0
Error when Training and inference & evaluating with MVTec code

#43 annahsu041 opened 2 months ago
0
Error when evaluate with MVTec code

#42 winstonchu498 opened 2 months ago
1
【EfficientAD】realize the visualization of heat map?

#41 Rosal-1998 opened 2 months ago
0
RuntimeError: quantile() input tensor is too large

#40 noivan0 opened 2 months ago
0
Do I need to re-pretrain a teacher network when I train my own dataset?

#39 genzhengmiaohong opened 3 months ago
1
IndexError: list index out of range

#38 noivan0 opened 3 months ago
0
I encountered an error while evaluating

#37 zty292 opened 3 months ago
1
result of inference on broken large bottle

#36 aria-23 opened 4 months ago
0
Question about training steps used to achieve reported performance

#35 willyfh opened 4 months ago
0
[BUG] In some cases the quantile may lead to NAN exception or divide zero exception .

#34 limaodaxia opened 5 months ago
1
How inteprete the hyper parameter table？

#33 limaodaxia opened 5 months ago
0
缺陷检测交流微信群，互相交流学习进步

#32 RuojiWang opened 6 months ago
20
The provided Google Drive URL is not available anymore

#31 willyfh opened 6 months ago
1
Distilled teacher model

#30 Doan-IT opened 7 months ago
2
If padding=True, worse results but good segmentation precision. Why?

#29 AlessandroPolidori opened 7 months ago
0
The output size of the network is inconsistent with the description in the paper

#28 limaodaxia opened 7 months ago
1
Can you share the teacher model pretrained from imagenet?

#27 wuqiangch closed 8 months ago
0
about the validation of the MvTec-AD LOCO dataset

#26 inker-yyk opened 8 months ago
1
The feature size not the same with the papar

#25 Apostatee closed 9 months ago
0
The image_size

#24 Sencc closed 9 months ago
5
Pixelwise_AUC isn't evaluated?

#23 alext1995 opened 9 months ago
0
The source of teacher weights

#22 WS-W opened 10 months ago
2
Pretrained weights

#21 nhjcqu opened 10 months ago
0
Asking why use batch size =1 ......? Please...help

#20 yujins02 opened 11 months ago
4
Create inference.py

#19 ntkhoa95 opened 11 months ago
1
error happend when training teacher_small.pth by my self.

#18 shellxiao closed 9 months ago
0
Asking about deployment of onnx format models

#17 Kyle-fang opened 11 months ago
1
Why change the output size to 56 * 56，instead of 64 * 64

#16 HiHiAllen closed 11 months ago
0
Can the pre-trained model of the teacher network 'teacher_small.pth' be trained by myself？

#15 William9Baker closed 1 year ago
4
Train on ViSA dataset

#14 Ehteshamciitwah opened 1 year ago
0
A minor typo in distillation training

#13 wangh09 closed 1 year ago
1
Purpose of padding

#12 AlessandroPolidori closed 1 year ago
2
Question about the loss between student output and ae output

#11 Youskrpig closed 1 year ago
1
Get error when evaluate breakfast_box's output with LOCO's official evaluation code

#10 cinout closed 1 year ago
2
Inference is too slow,is something wrong?

#9 kindle-the-life closed 1 year ago
4
Why pad 4 pixels before resizing instead of resizing directly？

#8 kywish closed 1 year ago
1
how to inference

#7 syha2994 closed 1 year ago
2
Hardware / time needed for pretraining

#6 AlessandroPolidori closed 1 year ago
1
Per category result for MVTec AD

#5 alexriedel1 closed 1 year ago
2
Convolutions' padding - student/teacher model

#4 lorenzolat1 closed 1 year ago
2
mvtec_ad_evaluation.tar.xz

#3 Jypeng-64 closed 1 year ago
1
good job bro!

#2 nicebro123 closed 1 year ago
3
How to obtain --imagenet_ train_ path

#1 Leonardo0325 closed 1 year ago
1