added skinning and gnn discriminator
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@@ -121,6 +121,7 @@ class SMPL:
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def run(self, R, betas, remove=True):
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batch_size = betas.shape[0]
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# R = self.run_rodrigues(pose)
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#J_regressor = tf.gather(self.J_regressor, gender, axis=0)
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#shapedirs = tf.gather(self.shapedirs, gender, axis=0)
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