`data_BT`, `data_BX` & `labels`

[franckess]

Hey man,

What do data_BT and data_BX represent?

I see you labels as follows:

labels = np.concatenate([
            np.ones(inside_samples.shape[0]), np.zeros(outside_samples.shape[0])])

        # add original verts
        samples = np.concatenate([samples, samples_verts], 0)
        labels = np.concatenate([labels, 0.5 * np.ones(2048)])

Also how do you extract actual labels from AMASS dataset?

Thank you :)