does the 3d wbf support rotation? about weighted-boxes-fusion HOT 8 OPEN

3D WBF only supports rectangular parallelepipeds as input, given as 2 opposite corners (x1, y1, z1) and (x2, y2, z2). If you can convert your 3D boxes in this format you are good.

from weighted-boxes-fusion.

@ZFTurbo thanks for your quick reply ,I still not so sure why we need to normalize all the coordinate

from weighted-boxes-fusion.

Actually algorithm will work without normalization (in this case you need to remove checks and sligtly remade IoU calculation). But anyway it will require rectangular parallelepipeds as input.

from weighted-boxes-fusion.

@ZFTurbo thanks a lot, I still have one more question about the parameter"weights". Is it used to change the orginial score
in each models,for example,w1s1, w2s2, if we have many models ,can we just set all the weights to be 1
(I have found the weights in your paper but don't understand the usage)

from weighted-boxes-fusion.

Weights needed to say which model predictions are more important. By default all weights equal to 1.

from weighted-boxes-fusion.

Is there any implementation of yaw angle fusion in 3d boxes...?

from weighted-boxes-fusion.

Is there any implementation of yaw angle fusion in 3d boxes...?

Hello, did you find a solution? thanks
@bringBackm

from weighted-boxes-fusion.

@ZFTurbo thanks a lot, I still have one more question about the parameter"weights". Is it used to change the orginial score in each models,for example,w1_s1, w2_s2, if we have many models ,can we just set all the weights to be 1 (I have found the weights in your paper but don't understand the usage)

Hello, did you find a solution? thanks
@JianWu313

from weighted-boxes-fusion.