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great work!
But when I try to reproduce this program, the metrics “I-Auroc、I-F1、I-AP” is always zero.
is right?
```shell
0%| | 0/5 [00:00
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Hello, I want to skip the first four steps and directly perform the anomaly detection step, but when processing the test data, the code reported an error as shown in the following figure. Is it becaus…
xgzng updated
3 weeks ago
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Hi, it is not very clear to me how to extrapolate a threshold at segmentation level to discriminate whether a pixel is classified as “normal” or “anomaly". The output anomaly map needs to be normalize…
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### What is the motivation for this task?
1. It is a very big task to anomalous images when there are no labels of classification and or segementation when the anomalies are very small.
2. For a mod…
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How should I write the code to input an image and return the anomaly score? Please help me
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As far as I understood, unlike WinClip for anomaly segmentation, the original ground truth of test images is used for model adaptation, while the final performance is reported on the same test images.…
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你好,有一些问题需要咨询一下
1. 请问出现了梯度无法回传的问题,是如何解决的,根据本人的调试,需要将RCE擦除策略中设置x2并且令 x2=x.clone(),最后返回x2可以解决。
2.为什么模型训练2次?在train.py的main函数中model.train,同时在train函数中也有model.train
3.为什么训练时候一直不收敛,loss收敛到0.5左右不再变化
希望能得到回…
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It would be great if Model API models had a method similar to the `postprocess`, that would generate a saliency map for models in any domain. Currently, we need to keep that logic on the GETi side. It…
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`Our proposed PSAD and other comparison methods are evaluated using image AUROC scores. As there is no ground truth for segmentation task`.
However, I see mvtec_loco_ad provides the segmentation mas…