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License: MIT License
KOROBA: Kit for ORiented OBjects Annotation
License: MIT License
Kit for ORiented OBject Annotation?
:)
koroba/koroba/losses/box_matching_loss.py
Line 91 in e43ada9
Check values of the terms as they might be of different scales.
Probably you should add a scaling coefficient to balance two terms and pass it as a function argument.
Let's work out the terms since the existing ones are pretty weird and hard to decipher.
I may suggest
seven -> parametric bounding box
eight -> vertex list / vertices bounding box
two -> extremes / extremum points bounding box
respectively, two_points -> lower_left_point, upper_right_point (as I understand)
Line 22 in e43ada9
vertices_3d has not been introduced.
Line 42 in e43ada9
if you want to prevent changing the values of class properties, there is a more pythonic way to do so:
@property
def some_prop(self):
return self._some_prop # use '_' to mark it as a private property
if this is not the case, you can omit that and simply address to property as class.some_prop
You might implement both NLL and L1 losses and switch between these options via passing an argument to init.
koroba/koroba/losses/box_matching_loss.py
Line 41 in e43ada9
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