guyiyifeurach

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images example: ![image](https://user-images.githubusercontent.com/32059046/137629719-27a2ed00-f3d4-4982-8cdb-641c9d940c77.png) And red points are anomalies points.

In fact, I used object detection to solve the problem, but anomalies are different and can't be predicted,so detecting are not suitable way.In fact, I still insist that unsupervised learning...

There are different object categories in training data.  Such as SS(stainless steel)/glass/Al, all these small objects will show as 3~5mm black points with different textures.  But I need not classify...