approx kde

[Parskatt]

No description provided.

[Parskatt]

@ducha-aiki can you check this out?

[ducha-aiki]

Thank you, will check tomorrow

[Parskatt]

It could also work to replace the balanced sampling with NMS kind of similar to casmtr. Havent tried though.

Basically we just want a nice spread of the matches.

[ducha-aiki]

    matches, match_certainty = matcher.sample(warp, certainty, num=roma_max_matches)
  File "/RoMa/roma/models/matcher.py", line 487, in sample
    density = approx_kde(good_matches, std=0.1)
  File "/RoMa/roma/utils/kde.py", line 16, in approx_kde
    y = torch.multinomial(x, min(max_num_cmp,len(x.shape[-2])), replacement=False)
TypeError: object of type 'int' has no len()

[Parskatt]

Moved to #23