FCN confusion matrix visualization fix #1536
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Fix LINT check
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Added the same fix for "TOPN category". Without this fix topn returns an error about dimensions. |
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Hi! I'm facing the same issue..any news about this task? |
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Issue #1492.
To reproduce the bug:
Depending on the version of numpy you will get a warning or an error.
With numpy 1.11 you get this warning and the confusion matrix has all the results on the first column.
With numpy 1.12 you get an error at the same line and no confusion matrix is shown.
The problem is the shape of "scores" that must be (number_of_images, number_of_classes), but with FCNs the shape has additional dimensions. e.g. SqueezeNet v1.1 final shape is (number_of_images, number_of_classes, 1, 1).