You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
For the section of the code here, what is the significance of checking for i == 0?
Specifically, at line 99 shown below, why only composing the last pose? Since all poses returned by the network are relative poses, shouldn't you compose all the relative poses returned by the network?
@lichunshang this is needed because of sequence overlap. With the default parameters you have sequence length = 6 and overlap = 1. So it looks like this:
Sequence 0 images: 1, 2, 3, 4, 5, 6
Sequence 1 images: 2, 3, 4, 5, 6 ,7
Sequence 2 images: 3, 4, 5, 6, 7, 8
The current implementation takes the whole Sequence 0 (i==0) and then just add the last pose from all the following sequences.
DeepVO-pytorch/test.py
Lines 81 to 104 in 14d8790
For the section of the code here, what is the significance of checking for i == 0?
Specifically, at line 99 shown below, why only composing the last pose? Since all poses returned by the network are relative poses, shouldn't you compose all the relative poses returned by the network?
DeepVO-pytorch/test.py
Line 99 in 14d8790
The text was updated successfully, but these errors were encountered: