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关于单个异常检测训练效果 #59

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@watermelon666666

我按照本模型的代码进行单类异常检测的mvtec的15个种类进行复现,所得到的关于transistor,cable等相关种类的Pixel-level都非常低与您的有偏差很大,这是为什莫?
[['carpet', 0.9991974317817015, 0.9997530559328314, 0.9943502324874741, 0.9934149514943187, 0.7680539953123269, 0.7305217640563085, 0.9815561647189895], ['grid', 0.9983291562238931, 0.9994052928932502, 0.9911503924817943, 0.9938388107148083, 0.5554947009650685, 0.5689774491985324, 0.9714480934429791], ['leather', 1.0, 1.0000000000000002, 0.9999999500000026, 0.9947948829388635, 0.5566980616081223, 0.5775362470240049, 0.986878432057543], ['tile', 0.9981962481962482, 0.9993311931514178, 0.9940119260496996, 0.9732100973932764, 0.6807755872201551, 0.7589217690451247, 0.8858899128977598], ['wood', 0.999122807017544, 0.9997267759562841, 0.9917354871935002, 0.9754608988020367, 0.7471245164666724, 0.6994087961893661, 0.9539885231385692], ['bottle', 1.0, 0.9999999999999996, 0.9999999500000026, 0.9779685158085076, 0.819296531221033, 0.7633557833992344, 0.9505559522239534], ['cable', 0.9173538230884557, 0.9580535887318309, 0.8799999501322477, 0.907946303481312, 0.5779315157758687, 0.6230273704446729, 0.8411423823270874], ['capsule', 0.9345831671320304, 0.9866893593270953, 0.9427312276116389, 0.960143148888317, 0.5265652049279391, 0.5398737898690666, 0.9374171507526817], ['hazelnut', 1.0, 0.9999999999999998, 0.9999999500000026, 0.9928551083983057, 0.7510914388416567, 0.7255463385643556, 0.9715233558968089], ['metal_nut', 1.0, 1.0, 0.9999999500000026, 0.9020528583286188, 0.6213847086963943, 0.6357333649504385, 0.8968059126515542], ['pill', 0.9817239498090563, 0.9969507991003059, 0.9752649676684715, 0.9471155448594359, 0.6382784139160309, 0.6566101259707452, 0.9719685166479407], ['screw', 0.9706907153105145, 0.9905126328235834, 0.9519650155794156, 0.9886830508706211, 0.47008320104307416, 0.5060429966145846, 0.9486520213951332], ['toothbrush', 1.0, 1.0, 0.9999999500000026, 0.9868931404048472, 0.49351146984875843, 0.6177793534381503, 0.9446321694408465], ['transistor', 0.9450000000000001, 0.9244656749882106, 0.8571428072562387, 0.823045326224527, 0.37414210249587054, 0.37107555686265475, 0.6434263026645564], ['zipper', 0.9960609243697479, 0.9989572870283943, 0.9873417221527914, 0.9638542714289456, 0.5189083407650663, 0.5682389759659058, 0.9008464497976262]]

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