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What does these codes mean in smpl_tf.py line 148 ? #39

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Chang-Che-Kuei opened this issue May 2, 2020 · 1 comment
Closed

What does these codes mean in smpl_tf.py line 148 ? #39

Chang-Che-Kuei opened this issue May 2, 2020 · 1 comment

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@Chang-Che-Kuei
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I had thought about it for hours but didn't get it.
Please help me understand it.

results = stacked - \ pack( tf.matmul( stacked, tf.reshape( tf.concat((J, tf.zeros((24, 1), dtype=tf.float64)), axis=1), (24, 4, 1) ) ) )
@CalciferZh
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You may check ‘smpl.np’ for more comments. The corresponding equation can be found in the paper. It’s just a basic linear blend skinning.

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@CalciferZh @Chang-Che-Kuei