quancore / social-lstm

Social LSTM implementation in PyTorch

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how to cover my pixel coordinates into such coordinates to train my model

hushunda opened this issue · comments

the data is [frame id y x].
0 5 -1.59 0.93
10 5 -1.59 0.93
20 5 -1.59 0.93
30 5 -1.59 0.93
40 5 -1.59 0.93
50 5 -1.59 0.93
60 5 -1.59 0.93
70 5 -1.59 0.93
80 5 -1.59 0.93
90 5 -1.59 0.93
100 5 -1.59 0.93

but i don't know the x-y coordinates represent?

Detailed info about challenge and datasets: https://www.aicrowd.com/challenges/trajnet-a-trajectory-forecasting-challenge

The creation of the dataset and each coordinate has been explained on the dataset section in the link.

In your code, you calculate the value of x - y as relative coordinates, I don't understand the meaning of the x - y?