How to generate 'scale' and 'objpos'? about pyranet

[Binyr]

I read your paper again. 'objpos' is image center. But I still do not know how to generate 'scale'.

[bearpaw]

You can find the code to generate the JSON file here: https://github.com/bearpaw/pytorch-pose/blob/master/miscs/gen_lsp.m

Actually, it is borrowed from Convolutional Pose Machine: https://github.com/shihenw/convolutional-pose-machines-release/blob/a345bc5c760073792b6b5ec29d3bde01557a5a9b/training/genJSON.m

I didn't dig into the equations. But it should be some statistics from the training set (e.g., the average height of persons are 200px or something like that).

[bearpaw]

Another thing of CPM is that, it uses additional training data from LSP and LSP extended to train the model for the MPII dataset. In this case, we want to make sure that persons in different datasets should have roughly the same scale. That's how CPM computes the scales.

[Binyr]

Thanks for your reply!
I am confused by this complicate computation. It seems that joints location is used to generate 'scale'.
Could I use it directly for evaluate my model?

[xiaoxin05]

@Binyr hi，Would like to ask the question about the scale to understand？