abduallahmohamed/Social-STGCNN

Details about data processing

guilunmeibeautiful opened this issue · 3 comments

guilunmeibeautiful commented

Great work, thanks for sharing the code. I am a novice in the field of trajectory prediction. I read the code and encountered some problems that I don't understand. Please help me answer them.

  1. What is "Make coordinates relative"?
  2. Why is there a distinction between "Linear vs Non-Linear Trajectory"?
  3. What is the function of the poly_fit method in utils.py?
    Thank you very much!
guilunmeibeautiful commented

Also, how to train and test the code under windows?

abduallahmohamed commented

Thanks for asking.
This data loader is taken from Social-GAN.
1- Relative to the first position, they are also delta between position aka speed
2- This is a very old topic, but lines trajectories are easier to predict using classical methods and models like constant velocity models. On the other hand, non-linear ones have patterns that are hard to model like sudden change in trajectory or sudden stop.
3- It just fits a polynomial to the trajectory, very old approach to benchmark against showing the benefit of data driven models.
I encourage to take a look into our latest work "Social-Implicit".

abduallahmohamed commented

I'm not sure about windows as I never used it before for development.