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
As I can understand, this parameter is related to sampling frequency of objects of the class. If this parameter = 0, objects of this class would not be sampled.
In argo2-3d-26class.py you define sample_groups as follows:
sample_group_1 = {k:1 for k in group1}
sample_group_2 = {k:2 for k in group2}
sample_group_3 = {k:2 for k in group3}
sample_group_4 = {k:1 for k in group4}
sample_group_5 = {k:2 for k in group5}
sample_group_6 = {k:2 for k in group6}
#merge all groups
sample_groups = {**sample_group_1, **sample_group_2, **sample_group_3, **sample_group_4, **sample_group_5, **sample_group_6}
sample_groups.update({'Wheelchair':0, 'Dog':0, 'Message_board_trailer':0})
How did you obtain these numbers(0, 1, or 2)?
In the FSDv2 paper you write about FSD:
the clustering part in instance segmentation voted centers necessitates pre-defined and handcrafted distance thresholds for each category, and it is non-trivial to find optimal values
Don't you think sample_groups values are encoding apriori information?
The text was updated successfully, but these errors were encountered:
As I can understand, this parameter is related to sampling frequency of objects of the class. If this parameter = 0, objects of this class would not be sampled.
In argo2-3d-26class.py you define sample_groups as follows:
How did you obtain these numbers(0, 1, or 2)?
In the FSDv2 paper you write about FSD:
Don't you think sample_groups values are encoding apriori information?
The text was updated successfully, but these errors were encountered: