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hub / github.com/DylanWusee/pointconv / feature_decoding_layer

Function feature_decoding_layer

PointConv.py:135–194  ·  view source on GitHub ↗

Input: xyz1: (batch_size, ndataset1, 3) TF tensor xyz2: (batch_size, ndataset2, 3) TF tensor, sparser than xyz1

(xyz1, xyz2, points1, points2, radius, sigma, K, mlp, is_training, bn_decay, weight_decay, scope, bn=True, use_xyz = True)

Source from the content-addressed store, hash-verified

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Callers 2

get_modelFunction · 0.90
PointConv.pyFile · 0.85

Calls 4

three_nnFunction · 0.90
three_interpolateFunction · 0.90
weight_net_hiddenFunction · 0.85
nonlinear_transformFunction · 0.85

Tested by

no test coverage detected