UniqAI/gaussian-splatting
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fixed learning rate for spatial

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bkerbl 2023-07-12 15:38:28 +02:00
parent 2d2d5ce1c3
commit 73ad40f414
1 changed files with 1 additions and 1 deletions
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scene/gaussian_model.py
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@ -84,7 +84,7 @@ class GaussianModel:
self.active_sh_degree += 1 self.active_sh_degree += 1
def create_from_pcd(self, pcd : BasicPointCloud, spatial_lr_scale : float): def create_from_pcd(self, pcd : BasicPointCloud, spatial_lr_scale : float):
self.spatial_lr_scale = spatial_lr_scale self.spatial_lr_scale = 5#spatial_lr_scale
fused_point_cloud = torch.tensor(np.asarray(pcd.points)).float().cuda() fused_point_cloud = torch.tensor(np.asarray(pcd.points)).float().cuda()
fused_color = RGB2SH(torch.tensor(np.asarray(pcd.colors)).float().cuda()) fused_color = RGB2SH(torch.tensor(np.asarray(pcd.colors)).float().cuda())
features = torch.zeros((fused_color.shape[0], 3, (self.max_sh_degree + 1) ** 2)).float().cuda() features = torch.zeros((fused_color.shape[0], 3, (self.max_sh_degree + 1) ** 2)).float().cuda()