khalooei / ALOCC-CVPR2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

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Some problems about the output of results_d

Daisy-Zhang opened this issue · comments

hello~
when I trained and tested on my own dataset, I got some weird output from results_d: there exists negative value and values which is bigger than 1.0, such as:

results d: [[-0.06518985]
 [ 0.01245594]
 [ 0.18250445]
 [ 0.14557755]
 [-0.12947509]
 [-0.32424578]
 [ 0.01147144]
 [-0.20546311]
 [ 0.38732064]
 [ 0.45803282]
 [ 0.22594012]
 [ 0.02803989]
 [ 0.43993357]
 [ 0.81624144]
 [ 0.5465872 ]
 [ 1.1168824 ]
 [ 0.4104824 ]
 [ 0.60788006]
 [ 0.68482363]
 [ 1.3565235 ]
 [ 1.1945145 ]
 [ 1.1945145 ]
 [ 1.1945145 ]
 [ 1.1945145 ]
 [ 1.1945145 ]
 [-0.06518985]
 [ 0.01245594]
 [ 0.18250445]
 [ 0.14557755]
 [-0.12947509]
 [-0.32424578]
 [ 0.01147144]
 [-0.20546311]
 [ 0.38732064]
 [ 0.45803282]
 [ 0.22594012]
 [ 0.02803989]
 [ 0.43993357]
 [ 0.81624144]
 [ 0.5465872 ]
 [ 1.1168824 ]
 [ 0.4104824 ]
 [ 0.60788006]
 [ 0.68482363]
 [ 1.3565235 ]
 [ 1.1945145 ]
 [ 1.1945145 ]
 [ 1.1945145 ]
 [ 1.1945145 ]
 [ 1.1945149 ]]

Did I miss something during training or testing process? Your any advices would be helpful, thanks!