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realcrane / Human-Trajectory-Prediction-via-Neural-Social-Physics

Our ECCV 2022 paper Human Trajectory Prediction via Neural Social Physics
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About the pedestrian interaction #30

Open ZY-Ren opened 4 months ago

ZY-Ren commented 4 months ago

Thank you for your great work. It's very inspiring.

But I notice the following code in the test function: coefficients, current_supplement = model.forward_coefficient_test(outputs_features2, supplement[:, 7 + t + 1, :, :], current_step, current_vel, first_part, first_frame, device=device)

Whether supplement[:, 7 + t + 1, :, :] represents the future trajectory of other pedestrians? But considering that the social process should not know the future trajectory of other pedestrians in the test, is this a data breach?

I would appreciate it if you could reply promtly.

JiangbeiYue commented 3 months ago

Hi,

We explained this in #14.