xrg commited on
Commit
3e5da9a
·
1 Parent(s): bbc5a9b

add dubeg info

Browse files
Files changed (2) hide show
  1. app.py +2 -1
  2. core/models.py +3 -2
app.py CHANGED
@@ -35,7 +35,8 @@ GRADIO_OBJ_SHADING_PATH = 'gradio_output_shading.obj'
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  #opt = tyro.cli(AllConfigs)
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  #torch._dynamo.config.verbose=True
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- ckpt_path = hf_hub_download(repo_id="rgxie/LDM", filename="LDM6v01.ckpt")
 
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  opt = Options(
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  input_size=512,
 
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  #opt = tyro.cli(AllConfigs)
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  #torch._dynamo.config.verbose=True
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+ #ckpt_path = hf_hub_download(repo_id="rgxie/LDM", filename="LDM6v01.ckpt")
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+ ckpt_path='/ssd3/xrg/tensor23d/pretrained/last_6view_0610_14.ckpt'
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  opt = Options(
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  input_size=512,
core/models.py CHANGED
@@ -122,8 +122,9 @@ class LTRFM_NeRF(nn.Module):
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  xyz_samples=xyz_samples.permute(0,2,3,4,1)
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  xyz_samples=xyz_samples.view(1,-1,1,3)
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- print("plane"+ planes.device)
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- print("xyz_samples"+ xyz_samples.device)
 
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  grid_out = self.tensorRF.predict_sdf(planes,xyz_samples)
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  grid_out['sigma']=grid_out['sigma'].view(grid_size,grid_size,grid_size).float()
 
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  xyz_samples=xyz_samples.permute(0,2,3,4,1)
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  xyz_samples=xyz_samples.view(1,-1,1,3)
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+ print("app and xyz")
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+ print(planes['app_planes'].device)
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+ print(xyz_samples.device)
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  grid_out = self.tensorRF.predict_sdf(planes,xyz_samples)
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  grid_out['sigma']=grid_out['sigma'].view(grid_size,grid_size,grid_size).float()