Open Pradur241 opened 5 months ago
Hi @Pradur241,
Of course! You can extract the group indices without a predictor using line 212
in the model_groupwrapper.py
. I have checked that any predictors other than trajectories or directly performing supervised training on the indices with BCEloss work fine. I hope it works well in your work.
Thanks!
@InhwanBae The determination of the value of self.th is a subject of my curiosity. How should this value be adjusted to accommodate pedestrian interaction in various scenarios?
@Pradur241 The value of self.th
is a learnable parameter that divides whether two people are in the same group or not, based on the feature distance between them. In easy words, in the case that d_type
is Euclidean
, it determines whether they are in the same group by thresholding based on the actual distance (e.g., 1 meter). When applied to different data, initialize the thresholding parameter to a suitable and affordable value for custom data, and it will optimized after training.
OK,thanks for answering
I am currently trying to implement a crowd grouping algorithm, and I was greatly inspired by your work. I would like to ask if the code for row-to-row group interaction can be used alone without the prediction part.