Some questions about PiQR code

[lym29]

In the contacthead.py, the three decoders have different input dimension.
self.vertex_contact_decoder = PointNetDecodeModule(self._concat_feat_dim, 1)
self.contact_region_decoder = PointNetDecodeModule(self._concat_feat_dim + 1, self.n_region)
self.anchor_elasti_decoder = PointNetDecodeModule(self._concat_feat_dim + 17, self.n_anchor)

I am wondering if this part is used to predict selected anchor points within each subregion.

The classification of subregions is obtained by contact_region_decoder and then the anchor points are predicted by anchor_elasti_decoder, is it right ?

I am a little bit confused about it, because according to the paper, Anchor Elasticity (AE) represents the elasticities of the attractive springs. But in the code, the output of anchor_elasti_decoder has no relation to the elasticity parameter, I'm wondering if there's some part I've missed.

Sorry for any trouble caused and thanks for your help!

[lixiny]

> I am wondering if this part is used to predict selected anchor points within each subregion.
Yes! this three modules are used to predict the VC (N_O, 1), CR (N_O, 17), and AE (N_O, N_anchor).

> the output of anchor_elasti_decoder has no relation to the elasticity parameter,
The output of the anchor_elasti_decoder is a float numbers within the range: [0, 1).
This scalar is treated as the elasticity parameter that helps to weight the squared distances between a hand vertex and an object vertex.

Best,
Lixin