umautobots / bidirection-trajectory-predicter

The code for Bi-directional Trajectory Prediction (BiTraP).
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About the JAAD datasets #9

Closed guoyage closed 2 years ago

guoyage commented 3 years ago

When i run the code in the JAAD datasets, an error occured which say FileNotFoundError: [Errno 2] No such file or directory: 'data/JAAD/trajectories\JAAD_0_1_2.pkl', So i am wondeing how can i get this .pkl file, because i only got the JAAD_database.pkl in the origin webset. Thanks.

MoonBlvd commented 3 years ago

Hi @guoyage I believe the JAAD repo has some script to pre-process their data to generate trajectories. We did pre-process by ourselves.

segermans commented 3 years ago

@MoonBlvd can you upload the pre-processing files?

d-zh commented 2 years ago

I have the same question. Except for pre-processing scripts, the way dividing the JAAD dataset also is important to reproduce the results in TABLE 1.

sanketh1691 commented 2 years ago

Hey @MoonBlvd. Can you give more info on what functions or methods in jaad_data.py should be used to produce the required pedestrian_trajectory pickle files?

MoonBlvd commented 2 years ago

Hi @segermans @d-zh @sanketh1691 we used what's in JAAD and PIE repos to process those datasets, for example: https://github.com/ykotseruba/JAAD#using-the-interface

MoonBlvd commented 2 years ago

@d-zh we just followed the PIE paper and the original JAAD and PIE datasets for train/eval split dividing.

abrams24 commented 2 years ago

Hi, @sanketh1691 @guoyage @segermans I ran into the same problem about extracting trajectory pickle files(i.e. JAAD_0_5_12b.pkl ),have you solved the problem yet?

sanketh1691 commented 2 years ago

Hello,

No I haven't been able to spend time to solve it.

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Hi, @sanketh1691 https://github.com/sanketh1691 @guoyage https://github.com/guoyage @segermans https://github.com/segermans I ran into the same problem about extracting trajectory pickle files(i.e. JAAD_0_5_12b.pkl ),have you solved the problem yet?

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MoonBlvd commented 2 years ago

I think this problem might be addressed in #13