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InhwanBae / GPGraph

Official Code for "Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction (ECCV 2022)"
https://ihbae.com/publication/gpgraph/
MIT License
63 stars 9 forks source link

visualize trajectory #6

Open Dong3759 opened 11 months ago

Dong3759 commented 11 months ago

hello，i am learning about this pedestrian trajectory prediction recently， and i try to visualize this trajectory in the raw videoes， but i failed. I saw you have done this job in your paper. so i want to know whether you can share the code? thank you

InhwanBae commented 11 months ago

Hi @Dong3759!

In addition to the video for trajectory visualization, it's necessary to redesign the dataloader to incorporate the homography matrix, frames, and more. The visualization source code contains several files, so I will send them to you if you request them by email!

Dong3759 commented 11 months ago

I am glad to recive your email. And I would be very thankful if you could send the visualization code. And best wishes to you.Hope your researches go well and win all your submissions!

---Original--- From: "Inhwan @.> Date: Tue, Dec 26, 2023 23:16 PM To: @.>; Cc: @.**@.>; Subject: Re: [InhwanBae/GPGraph] visualize trajectory (Issue #6)

Hi @Dong3759!

In addition to the video for trajectory visualization, it's necessary to redesign the dataloader to incorporate the homography matrix, frames, and more. The visualization source code contains several files, so I will send them to you if you request them by email!

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>

InhwanBae commented 10 months ago

Hi @Dong3759,

I'm sharing the visualization source code with you via a public repository because I haven't received any mail from you. Check it out! If you need any other code, please contact me at my personal email address listed in the paper. https://github.com/InhwanBae/ETH-UCY-Trajectory-Visualizer