test.py was not worked as expected about human-self-learning-anomaly HOT 2 OPEN

There are a few warnings and errors here:

Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found

You are missing some Cuda library for GPU use.

notes_test.append(int(row[0])) if flag_test else notes_train.append(int(row[0]))
ValueError: invalid literal for int() with base 10: '\ufeff'

I think you have a misplaced character in your test annotation file, so when he tries to make sure it's an int value, he can't due to that "invalid literal".

from human-self-learning-anomaly.

There are a few warnings and errors here:

Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found

You are missing some Cuda library for GPU use.

notes_test.append(int(row[0])) if flag_test else notes_train.append(int(row[0]))
ValueError: invalid literal for int() with base 10: '\ufeff'

I think you have a misplaced character in your test annotation file, so when he tries to make sure it's an int value, he can't due to that "invalid literal".

hmm， I really don't know these files in the dict "annoation/weak(strong)" how to describe them. Can u introduce them simplely? Such as the test.csv, Should I put the one of the video name of the UBI datasets ? And the test_note I really don't know what comment should in it .

from human-self-learning-anomaly.