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Configify
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@ -74,6 +74,8 @@ class GaussianSplattingModelConfig(ModelConfig):
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one_up_sh_every: int = 1000
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lambda_ssim: float = 0.2
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use_diff_rast: bool = False # TODO (jake-austin): remove
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gradient_threshold: float = 0.0002
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min_opacity: float = 0.005
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class GaussianSplattingModel(Model):
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"""Gaussian Splatting model
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@ -237,7 +239,8 @@ class GaussianSplattingModel(Model):
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if step >= self.config.prune_density_after and step < self.config.prune_density_until:
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size_threshold = None#20 if iteration > opt.opacity_reset_interval else None
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self.optimizer = training_callback_attributes.optimizers
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self.densify_and_prune(0.0002, 0.005, 2.6, None)
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extent = torch.abs(self.render_aabb.aabb).max() if self.render_aabb is not None else 1000
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self.densify_and_prune(self.config.gradient_threshold, self.config.min_opacity, extent, None)
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def wrapper_reset_opacity(step):
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if step < self.config.prune_density_until and step > 0:
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