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@ -158,13 +158,13 @@ def import_mesh(mesh: Union[pymeshlab.MeshSet, trimesh.Trimesh, Latent2MeshOutpu
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return mesh
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def bpt_remesh(self, mesh: trimesh.Trimesh, verbose: bool = False, max_seq_len:int=10000, cond_dim:int=768, pc_num: int=8192, with_normal: bool = True, kwarg_k: int = 50, kwarg_p: float = 0.95):
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def bpt_remesh(self, mesh: trimesh.Trimesh, verbose: bool = False, with_normal: bool = True, temperature: float = 0.5, batch_size: int = 1):
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from .bpt.model import data_utils
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from .bpt.model.model import MeshTransformer
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from .bpt.model.serializaiton import BPT_deserialize
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from .bpt.utils import sample_pc, joint_filter
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pc_normal = sample_pc(mesh, pc_num=pc_num, with_normal=with_normal)
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pc_normal = sample_pc(mesh, with_normal=with_normal)
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pc_normal = pc_normal[None, :, :] if len(pc_normal.shape) == 2 else pc_normal
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@ -175,7 +175,7 @@ def bpt_remesh(self, mesh: trimesh.Trimesh, verbose: bool = False, max_seq_len:i
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add_safe_globals([LossScaler, fragment_address, ZeroStageEnum])
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model = MeshTransformer(cond_dim=cond_dim, max_seq_len=max_seq_len)
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model = MeshTransformer()
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comfyui_dir = os.path.dirname(os.path.abspath(__file__))
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model_path = os.path.join(comfyui_dir, 'bpt/bpt-8-16-500m.pt')
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@ -195,6 +195,8 @@ def bpt_remesh(self, mesh: trimesh.Trimesh, verbose: bool = False, max_seq_len:i
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filter_logits_fn=joint_filter,
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filter_kwargs=dict(k=50, p=0.95),
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return_codes=True,
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temperature=temperature,
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batch_size=batch_size
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)
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coords = []
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@ -227,13 +229,12 @@ class BptMesh:
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def __call__(
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self,
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mesh: Union[pymeshlab.MeshSet, trimesh.Trimesh, Latent2MeshOutput, str],
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max_seq_len: int = 10000,
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cond_dim: int = 768,
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kwarg_k: int = 50,
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kwarg_p: float = 0.95,
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temperature: float = 0.5,
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batch_size: int = 1,
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with_normal: bool = True,
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verbose: bool = False
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) -> Union[pymeshlab.MeshSet, trimesh.Trimesh]:
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mesh = bpt_remesh(self, mesh=mesh, cond_dim=cond_dim, max_seq_len=max_seq_len, kwarg_k=kwarg_k, kwarg_p=kwarg_p)
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mesh = bpt_remesh(self, mesh=mesh, temperature=temperature, batch_size=batch_size, with_normal=with_normal)
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return mesh
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class FaceReducer:
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