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I face below issue while running it on sample bin data.
"/fuzzy_code/cpp_fuzzy.py", line 22, in cpp_cls
res=round(fun(x0,y0))+1
ValueError: cannot convert float NaN to integer
"
Should these changes be ok (left side is default code, right side is updated code).
Also do you have libfuzzy.so built for windows?
The text was updated successfully, but these errors were encountered:
nms iou thresholding is applied classwise after fuzzy classification in "class_agnostic_nms" function. In this case, there is possibility of same object being detected with multiple classes.
if fun(x0,y0) returns nan, should we assign some garbage class value to it ?
I face below issue while running it on sample bin data.
"/fuzzy_code/cpp_fuzzy.py", line 22, in cpp_cls
res=round(fun(x0,y0))+1
ValueError: cannot convert float NaN to integer
"
Should these changes be ok (left side is default code, right side is updated code).
Also do you have libfuzzy.so built for windows?
The text was updated successfully, but these errors were encountered: