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https://github.com/graphdeco-inria/gaussian-splatting
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Fix spelling error (posititon to position as README said)
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@ -72,7 +72,7 @@ class OptimizationParams(ParamGroup):
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self.position_lr_init = 0.00016
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self.position_lr_init = 0.00016
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self.position_lr_final = 0.0000016
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self.position_lr_final = 0.0000016
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self.position_lr_delay_mult = 0.01
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self.position_lr_delay_mult = 0.01
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self.posititon_lr_max_steps = 30_000
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self.position_lr_max_steps = 30_000
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self.feature_lr = 0.0025
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self.feature_lr = 0.0025
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self.opacity_lr = 0.05
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self.opacity_lr = 0.05
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self.scaling_lr = 0.001
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self.scaling_lr = 0.001
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@ -126,7 +126,7 @@ class GaussianModel:
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self.xyz_scheduler_args = get_expon_lr_func(lr_init=training_args.position_lr_init*self.spatial_lr_scale,
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self.xyz_scheduler_args = get_expon_lr_func(lr_init=training_args.position_lr_init*self.spatial_lr_scale,
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lr_final=training_args.position_lr_final*self.spatial_lr_scale,
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lr_final=training_args.position_lr_final*self.spatial_lr_scale,
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lr_delay_mult=training_args.position_lr_delay_mult,
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lr_delay_mult=training_args.position_lr_delay_mult,
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max_steps=training_args.posititon_lr_max_steps)
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max_steps=training_args.position_lr_max_steps)
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def update_learning_rate(self, iteration):
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def update_learning_rate(self, iteration):
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''' Learning rate scheduling per step '''
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''' Learning rate scheduling per step '''
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