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
Thank you for your great contribution. When checking the code for agentformer, I noticed the number of samples do not match that of Social-STGCNN and SGAN. Looking at these two latter codes, they only consider scenes where they contain more than one pedestrian. Is that also the case in your code and I have overlooked something? Looking at the samples that test.py outputs, some of them include only one pedestrian.
If this is true, would it be fair to compare against SGAN? Trajectron ++ also has the same train/test splits as SGAN.
The text was updated successfully, but these errors were encountered:
Thank you for your great contribution. When checking the code for agentformer, I noticed the number of samples do not match that of Social-STGCNN and SGAN. Looking at these two latter codes, they only consider scenes where they contain more than one pedestrian. Is that also the case in your code and I have overlooked something? Looking at the samples that test.py outputs, some of them include only one pedestrian.
If this is true, would it be fair to compare against SGAN? Trajectron ++ also has the same train/test splits as SGAN.
The text was updated successfully, but these errors were encountered: