Merge pull request #529 from DenisKochetov/fastmesh
Fastmesh loading and saving
This commit is contained in:
@@ -6,6 +6,9 @@ import base64
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import io
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import tempfile
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import os
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import sys
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sys.path.append(os.path.join(os.path.dirname(__file__), "../../../"))
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from mesh_processor.fastmesh import FastMesh
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def combine_metallic_roughness(metallic_path, roughness_path, output_path):
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@@ -82,7 +85,8 @@ def create_glb_with_pbr_materials(obj_path, textures_dict, output_path):
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with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as temp_mr_file:
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mr_combined_path = temp_mr_file.name
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temp_files.append(mr_combined_path)
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combine_metallic_roughness(textures_dict["metallic"], textures_dict["roughness"], mr_combined_path)
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# combine_metallic_roughness(textures_dict["metallic"], textures_dict["roughness"], mr_combined_path)
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combine_metallic_roughness_fast(textures_dict["metallic"], textures_dict["roughness"], mr_combined_path)
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textures_dict["metallicRoughness"] = mr_combined_path
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# 6. 添加图像到GLTF
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@@ -158,3 +162,17 @@ def create_glb_with_pbr_materials(obj_path, textures_dict, output_path):
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os.remove(temp_file)
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except Exception as e:
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print(f"Warning: Failed to remove temporary file {temp_file}: {e}")
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# FastMesh-based functions (new optimized versions)
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def combine_metallic_roughness_fast(metallic_path, roughness_path, output_path):
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"""Fast combine metallic and roughness maps using FastMesh"""
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combined_array = FastMesh._combine_metallic_roughness(metallic_path, roughness_path)
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combined = Image.fromarray(combined_array)
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combined.save(output_path)
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return output_path
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def create_glb_with_pbr_materials_fast(obj_path, textures_dict, output_path):
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"""Fast create GLB with PBR materials using FastMesh"""
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FastMesh.create_glb_with_pbr_materials(obj_path, textures_dict, output_path)
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@@ -29,7 +29,7 @@ from .utils.pipeline_utils import ViewProcessor
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from .utils.image_super_utils import imageSuperNet
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from .utils.uvwrap_utils import mesh_uv_wrap
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from .DifferentiableRenderer.mesh_utils import convert_obj_to_glb
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from .convert_utils import create_glb_with_pbr_materials
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from .convert_utils import create_glb_with_pbr_materials, create_glb_with_pbr_materials_fast
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import warnings
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warnings.filterwarnings("ignore")
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@@ -209,7 +209,9 @@ class Hunyuan3DPaintPipeline:
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textures_dict['normal'] = normal_path
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try:
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create_glb_with_pbr_materials(output_mesh_path, textures_dict, output_glb_path)
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# create_glb_with_pbr_materials(output_mesh_path, textures_dict, output_glb_path)
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print("Creating GLB with full PBR materials using FastMesh")
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create_glb_with_pbr_materials_fast(output_mesh_path, textures_dict, output_glb_path)
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print(f"Created GLB with full PBR materials: {output_glb_path}")
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except Exception as e:
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print(f"Warning: Failed to create GLB with PBR materials: {e}")
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@@ -34,9 +34,9 @@ from .rigging_ops import (
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from .validate import validate_before_save
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from .mesh import (
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Mesh,
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FastMesh,
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PointCloud,
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)
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from .fastmesh import FastMesh
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__all__ = [
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"GltfDocument",
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@@ -5,7 +5,8 @@ Direct functions WITHOUT trimesh dependency
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import torch
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import numpy as np
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from .mesh import Mesh, FastMesh
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from .mesh import Mesh
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from .fastmesh import FastMesh
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def export_to_fastmesh(mesh_output, device=None):
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File diff suppressed because it is too large
Load Diff
@@ -1130,404 +1130,6 @@ class Mesh:
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return pcd
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class FastMesh:
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"""
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Fast implementation of mesh based on FastGLB without dependency on trimesh.
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Uses direct loading of GLB/GLTF through mesh_processor.
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"""
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def __init__(
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self,
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v: Optional[Tensor] = None,
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f: Optional[Tensor] = None,
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vn: Optional[Tensor] = None,
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fn: Optional[Tensor] = None,
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vt: Optional[Tensor] = None,
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ft: Optional[Tensor] = None,
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vc: Optional[Tensor] = None,
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albedo: Optional[Tensor] = None,
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metallicRoughness: Optional[Tensor] = None,
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device: Optional[torch.device] = None,
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):
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"""Initialize FastMesh with the same parameters as Mesh"""
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self.device = device if device is not None else torch.device("cuda" if torch.cuda.is_available() else "cpu")
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self.v = v
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self.vn = vn
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self.vt = vt
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self.f = f
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self.fn = fn
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self.ft = ft
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self.vc = vc
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self.albedo = albedo
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self.metallicRoughness = metallicRoughness
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self.ori_center = 0
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self.ori_scale = 1
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@classmethod
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def load(cls, path, resize=True, renormal=True, retex=False, clean=False, bound=0.5, front_dir='+z', **kwargs):
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"""Loading mesh through FastGLB approach"""
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device = kwargs.get('device')
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if device is None:
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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if path.endswith(".obj"):
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mesh = cls._load_obj_fast(path, device=device, **kwargs)
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elif path.endswith((".glb", ".gltf")):
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mesh = cls._load_gltf_fast(path, device=device, **kwargs)
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else:
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standard_mesh = Mesh.load(path, resize=False, renormal=False, retex=False, clean=False, **kwargs)
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mesh = cls._from_standard_mesh(standard_mesh)
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if mesh is None:
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return None
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if clean:
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mesh._clean_mesh()
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print(f"[FastMesh loading] v: {mesh.v.shape}, f: {mesh.f.shape}")
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if resize:
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mesh.auto_size(bound=bound)
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if renormal or mesh.vn is None:
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mesh.auto_normal()
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print(f"[FastMesh loading] vn: {mesh.vn.shape}, fn: {mesh.fn.shape}")
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if retex or (mesh.albedo is not None and mesh.vt is None):
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mesh.auto_uv(cache_path=path)
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print(f"[FastMesh loading] vt: {mesh.vt.shape}, ft: {mesh.ft.shape}")
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if front_dir != "+z":
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mesh._apply_front_dir_rotation(front_dir)
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return mesh
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@classmethod
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def _load_gltf_fast(cls, path, device=None, **kwargs):
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"""Fast loading of GLB/GLTF through mesh_processor"""
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try:
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print(f"[FastMesh] Loading GLB/GLTF: {path}")
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# Load GLTF document
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from .io_gltf import load_gltf_or_glb, get_binary_data
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from .mesh_ops import get_all_meshes_triangles
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from .accessors import access_data
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doc = load_gltf_or_glb(path)
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print(f"[FastMesh] GLTF document: {len(doc.meshes())} meshes")
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# Extract geometry
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vertices, faces, mesh_groups = get_all_meshes_triangles(doc, transform_to_global=True)
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if len(vertices) == 0 or len(faces) == 0:
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print(f"[FastMesh] No geometry in {path}")
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return None
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mesh = cls(device=device)
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mesh.v = torch.tensor(vertices, dtype=torch.float32, device=device)
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mesh.f = torch.tensor(faces, dtype=torch.int32, device=device)
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# Extract additional data
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cls._extract_gltf_attributes(mesh, doc, device)
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cls._extract_gltf_textures(mesh, doc, device)
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print(f"[FastMesh] Loaded: {len(vertices)} vertices, {len(faces)} faces")
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return mesh
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except Exception as e:
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print(f"[FastMesh] Error loading GLB/GLTF {path}: {e}")
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return None
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@classmethod
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def _extract_gltf_attributes(cls, mesh, doc, device):
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"""Extract attributes from GLTF (UV, normals, colors)"""
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if not doc.meshes():
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return
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first_mesh = doc.meshes()[0]
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for primitive in first_mesh.get("primitives", []):
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attributes = primitive.get("attributes", {})
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# UV coordinates
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if "TEXCOORD_0" in attributes and mesh.vt is None:
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try:
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from .accessors import access_data
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uv_accessor_idx = int(attributes["TEXCOORD_0"])
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uv_data = access_data(doc, uv_accessor_idx).astype(np.float32)
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uv_data[:, 1] = 1.0 - uv_data[:, 1] # Flip V
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mesh.vt = torch.tensor(uv_data, dtype=torch.float32, device=device)
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mesh.ft = mesh.f
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print(f"[FastMesh] UV: {mesh.vt.shape}")
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except Exception as e:
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print(f"[FastMesh] Error UV: {e}")
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# Normals
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if "NORMAL" in attributes and mesh.vn is None:
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try:
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from .accessors import access_data
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normal_accessor_idx = int(attributes["NORMAL"])
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normal_data = access_data(doc, normal_accessor_idx).astype(np.float32)
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mesh.vn = torch.tensor(normal_data, dtype=torch.float32, device=device)
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mesh.fn = mesh.f
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print(f"[FastMesh] Normals: {mesh.vn.shape}")
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except Exception as e:
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print(f"[FastMesh] Error normals: {e}")
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# Vertex colors
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if "COLOR_0" in attributes and mesh.vc is None:
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try:
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from .accessors import access_data
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color_accessor_idx = int(attributes["COLOR_0"])
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color_data = access_data(doc, color_accessor_idx).astype(np.float32)
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if color_data.shape[1] > 3:
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color_data = color_data[:, :3]
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mesh.vc = torch.tensor(color_data, dtype=torch.float32, device=device)
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print(f"[FastMesh] Colors: {mesh.vc.shape}")
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except Exception as e:
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print(f"[FastMesh] Error colors: {e}")
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@classmethod
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def _extract_gltf_textures(cls, mesh, doc, device):
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"""Extract textures from GLTF"""
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should_create_empty = True
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try:
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if not (doc.materials() and doc.textures() and doc.images()):
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mesh._create_empty_albedo()
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return
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material = doc.materials()[0]
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pbr = material.get("pbrMetallicRoughness", {})
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# Albedo texture
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base_color_texture = pbr.get("baseColorTexture")
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if base_color_texture:
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albedo_texture = cls._extract_texture_by_index(doc, base_color_texture.get("index", 0))
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if albedo_texture is not None:
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albedo_float = albedo_texture.astype(np.float32) / 255.0
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mesh.albedo = torch.tensor(albedo_float, dtype=torch.float32, device=device).contiguous()
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should_create_empty = False
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print(f"[FastMesh] Albedo: {mesh.albedo.shape}")
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# Metallic-Roughness texture
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mr_texture_info = pbr.get("metallicRoughnessTexture")
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if mr_texture_info and not should_create_empty:
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mr_texture = cls._extract_texture_by_index(doc, mr_texture_info.get("index", 0))
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if mr_texture is not None:
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mr_float = mr_texture.astype(np.float32) / 255.0
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mesh.metallicRoughness = torch.tensor(mr_float, dtype=torch.float32, device=device).contiguous()
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print(f"[FastMesh] MetallicRoughness: {mesh.metallicRoughness.shape}")
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except Exception as e:
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print(f"[FastMesh] Error extracting textures: {e}")
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if should_create_empty:
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mesh._create_empty_albedo()
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@classmethod
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def _extract_texture_by_index(cls, doc, texture_idx):
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"""Extract texture by index from GLTF"""
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try:
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from .io_gltf import get_binary_data
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if texture_idx >= len(doc.textures()):
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return None
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texture = doc.textures()[texture_idx]
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image_idx = texture.get("source", 0)
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if image_idx >= len(doc.images()):
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return None
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image_info = doc.images()[image_idx]
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buffer_view_idx = image_info.get("bufferView")
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if buffer_view_idx is None:
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return None
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buffer_view = doc.bufferViews()[buffer_view_idx]
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buffer_idx = buffer_view.get("buffer", 0)
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byte_offset = buffer_view.get("byteOffset", 0)
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byte_length = buffer_view.get("byteLength", 0)
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binary_data = get_binary_data(doc, buffer_idx)
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image_bytes = binary_data[byte_offset:byte_offset + byte_length]
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# Decode image
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image_array = np.frombuffer(image_bytes, dtype=np.uint8)
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texture_image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
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if texture_image is not None:
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texture_image = cv2.cvtColor(texture_image, cv2.COLOR_BGR2RGB)
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return texture_image
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except Exception as e:
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print(f"[FastMesh] Error extracting texture {texture_idx}: {e}")
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return None
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@classmethod
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def _load_obj_fast(cls, path, device=None, **kwargs):
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"""Fast loading of OBJ (fallback to standard method)"""
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standard_mesh = Mesh.load_obj(path, device=device, **kwargs)
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return cls._from_standard_mesh(standard_mesh)
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@classmethod
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def _from_standard_mesh(cls, standard_mesh):
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"""Convert standard Mesh to FastMesh"""
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if standard_mesh is None:
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return None
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return cls(
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v=standard_mesh.v,
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f=standard_mesh.f,
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vn=standard_mesh.vn,
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fn=standard_mesh.fn,
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vt=standard_mesh.vt,
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ft=standard_mesh.ft,
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vc=standard_mesh.vc,
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albedo=standard_mesh.albedo,
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metallicRoughness=standard_mesh.metallicRoughness,
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device=standard_mesh.device
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)
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def _create_empty_albedo(self):
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"""Create empty albedo texture"""
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texture = np.ones((1024, 1024, 3), dtype=np.float32) * np.array([0.5, 0.5, 0.5])
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self.albedo = torch.tensor(texture, dtype=torch.float32, device=self.device)
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print(f"[FastMesh] Empty texture: {self.albedo.shape}")
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def _clean_mesh(self):
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"""Clean mesh (simplified version)"""
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try:
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from kiui.mesh_utils import clean_mesh
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vertices = self.v.detach().cpu().numpy()
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triangles = self.f.detach().cpu().numpy()
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vertices, triangles = clean_mesh(vertices, triangles, remesh=False)
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self.v = torch.from_numpy(vertices).contiguous().float().to(self.device)
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self.f = torch.from_numpy(triangles).contiguous().int().to(self.device)
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except Exception as e:
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print(f"[FastMesh] Error cleaning: {e}")
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def _apply_front_dir_rotation(self, front_dir):
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"""Apply rotation for aligning front_dir with +z"""
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# Use the same logic as in standard Mesh
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if front_dir == "+z":
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return
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# Define transformation matrix
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if "-z" in front_dir:
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T = torch.tensor([[1, 0, 0], [0, 1, 0], [0, 0, -1]], device=self.device, dtype=torch.float32)
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elif "+x" in front_dir:
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T = torch.tensor([[0, 0, 1], [0, 1, 0], [1, 0, 0]], device=self.device, dtype=torch.float32)
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elif "-x" in front_dir:
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T = torch.tensor([[0, 0, -1], [0, 1, 0], [1, 0, 0]], device=self.device, dtype=torch.float32)
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elif "+y" in front_dir:
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T = torch.tensor([[1, 0, 0], [0, 0, 1], [0, 1, 0]], device=self.device, dtype=torch.float32)
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elif "-y" in front_dir:
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T = torch.tensor([[1, 0, 0], [0, 0, -1], [0, 1, 0]], device=self.device, dtype=torch.float32)
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else:
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T = torch.tensor([[1, 0, 0], [0, 1, 0], [0, 0, 1]], device=self.device, dtype=torch.float32)
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# Additional rotations
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if '1' in front_dir:
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T @= torch.tensor([[0, -1, 0], [1, 0, 0], [0, 0, 1]], device=self.device, dtype=torch.float32)
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elif '2' in front_dir:
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T @= torch.tensor([[1, 0, 0], [0, -1, 0], [0, 0, 1]], device=self.device, dtype=torch.float32)
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elif '3' in front_dir:
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T @= torch.tensor([[0, 1, 0], [-1, 0, 0], [0, 0, 1]], device=self.device, dtype=torch.float32)
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# Apply transformation
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if self.v is not None:
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self.v @= T
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if self.vn is not None:
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self.vn @= T
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# Use methods from standard Mesh
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def aabb(self):
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"""AABB mesh"""
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return torch.min(self.v, dim=0).values, torch.max(self.v, dim=0).values
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@torch.no_grad()
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def auto_size(self, bound=0.9):
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"""Automatic size change"""
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vmin, vmax = self.aabb()
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self.ori_center = (vmax + vmin) / 2
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self.ori_scale = 2 * bound / torch.max(vmax - vmin).item()
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self.v = (self.v - self.ori_center) * self.ori_scale
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def auto_normal(self):
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"""Automatic calculation of normals"""
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i0, i1, i2 = self.f[:, 0].long(), self.f[:, 1].long(), self.f[:, 2].long()
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v0, v1, v2 = self.v[i0, :], self.v[i1, :], self.v[i2, :]
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||||
|
||||
face_normals = torch.cross(v1 - v0, v2 - v0, dim=-1)
|
||||
|
||||
vn = torch.zeros_like(self.v)
|
||||
vn.scatter_add_(0, i0[:, None].repeat(1, 3), face_normals)
|
||||
vn.scatter_add_(0, i1[:, None].repeat(1, 3), face_normals)
|
||||
vn.scatter_add_(0, i2[:, None].repeat(1, 3), face_normals)
|
||||
|
||||
vn = torch.where(
|
||||
dot(vn, vn) > 1e-20,
|
||||
vn,
|
||||
torch.tensor([0.0, 0.0, 1.0], dtype=torch.float32, device=vn.device),
|
||||
)
|
||||
vn = safe_normalize(vn)
|
||||
|
||||
self.vn = vn
|
||||
self.fn = self.f
|
||||
|
||||
def auto_uv(self, cache_path=None, vmap=True):
|
||||
"""Automatic calculation of UV (use method from standard Mesh)"""
|
||||
# Temporarily delegate to standard Mesh
|
||||
temp_mesh = Mesh(
|
||||
v=self.v, f=self.f, vn=self.vn, fn=self.fn,
|
||||
vt=self.vt, ft=self.ft, vc=self.vc,
|
||||
albedo=self.albedo, metallicRoughness=self.metallicRoughness,
|
||||
device=self.device
|
||||
)
|
||||
temp_mesh.auto_uv(cache_path=cache_path, vmap=vmap)
|
||||
|
||||
# Copy result back
|
||||
self.vt = temp_mesh.vt
|
||||
self.ft = temp_mesh.ft
|
||||
if vmap:
|
||||
self.v = temp_mesh.v
|
||||
self.f = temp_mesh.f
|
||||
self.vn = temp_mesh.vn
|
||||
self.fn = temp_mesh.fn
|
||||
if temp_mesh.vc is not None:
|
||||
self.vc = temp_mesh.vc
|
||||
|
||||
def to(self, device):
|
||||
"""Move to another device"""
|
||||
self.device = device
|
||||
for name in ["v", "f", "vn", "fn", "vt", "ft", "albedo", "vc", "metallicRoughness"]:
|
||||
tensor = getattr(self, name)
|
||||
if tensor is not None:
|
||||
setattr(self, name, tensor.to(device))
|
||||
return self
|
||||
|
||||
def write(self, path):
|
||||
"""Saving to file (use methods from standard Mesh)"""
|
||||
# Create temporary standard Mesh for saving
|
||||
temp_mesh = Mesh(
|
||||
v=self.v, f=self.f, vn=self.vn, fn=self.fn,
|
||||
vt=self.vt, ft=self.ft, vc=self.vc,
|
||||
albedo=self.albedo, metallicRoughness=self.metallicRoughness,
|
||||
device=self.device
|
||||
)
|
||||
temp_mesh.ori_center = self.ori_center
|
||||
temp_mesh.ori_scale = self.ori_scale
|
||||
return temp_mesh.write(path)
|
||||
|
||||
|
||||
class PointCloud(NamedTuple):
|
||||
points: np.array
|
||||
colors: np.array
|
||||
|
||||
@@ -38,7 +38,8 @@ import trimesh
|
||||
from PIL import Image
|
||||
|
||||
from mesh_processor.export_utils import export_to_fastmesh, export_to_mesh
|
||||
from mesh_processor.mesh import FastMesh, Mesh
|
||||
from mesh_processor.fastmesh import FastMesh
|
||||
from mesh_processor.mesh import Mesh
|
||||
from mesh_processor.mesh_utils import (
|
||||
ply_to_points_cloud,
|
||||
get_target_axis_and_scale,
|
||||
@@ -288,6 +289,7 @@ class Load_3D_Mesh:
|
||||
return {
|
||||
"required": {
|
||||
"mesh_file_path": ("STRING", {"default": '', "multiline": False}),
|
||||
"use_fastmesh": ("BOOLEAN", {"default": True, "tooltip": "Use FastMesh for GLB/GLTF files"}),
|
||||
"resize": ("BOOLEAN", {"default": False},),
|
||||
"renormal": ("BOOLEAN", {"default": True},),
|
||||
"retex": ("BOOLEAN", {"default": False},),
|
||||
@@ -306,7 +308,7 @@ class Load_3D_Mesh:
|
||||
FUNCTION = "load_mesh"
|
||||
CATEGORY = "Comfy3D/Import|Export"
|
||||
|
||||
def load_mesh(self, mesh_file_path, resize, renormal, retex, optimizable, clean, resize_bound):
|
||||
def load_mesh(self, mesh_file_path, use_fastmesh, resize, renormal, retex, optimizable, clean, resize_bound):
|
||||
mesh = None
|
||||
|
||||
if not os.path.isabs(mesh_file_path):
|
||||
@@ -316,7 +318,10 @@ class Load_3D_Mesh:
|
||||
folder, filename = os.path.split(mesh_file_path)
|
||||
if filename.lower().endswith(SUPPORTED_3D_EXTENSIONS):
|
||||
with torch.inference_mode(not optimizable):
|
||||
mesh = Mesh.load(mesh_file_path, resize, renormal, retex, clean, resize_bound)
|
||||
if use_fastmesh and mesh_file_path.endswith((".glb", ".gltf")):
|
||||
mesh = FastMesh.load(mesh_file_path, resize, renormal, retex, clean, resize_bound)
|
||||
else:
|
||||
mesh = Mesh.load(mesh_file_path, resize, renormal, retex, clean, resize_bound)
|
||||
else:
|
||||
cstr(f"[{self.__class__.__name__}] File name {filename} does not end with supported 3D file extensions: {SUPPORTED_3D_EXTENSIONS}").error.print()
|
||||
else:
|
||||
@@ -366,6 +371,7 @@ class Save_3D_Mesh:
|
||||
"required": {
|
||||
"mesh": ("MESH",),
|
||||
"save_path": ("STRING", {"default": 'Mesh_%Y-%m-%d-%M-%S-%f.glb', "multiline": False}),
|
||||
"use_fastmesh": ("BOOLEAN", {"default": True, "tooltip": "Use FastMesh for fast saving GLB"}),
|
||||
},
|
||||
}
|
||||
|
||||
@@ -379,11 +385,26 @@ class Save_3D_Mesh:
|
||||
FUNCTION = "save_mesh"
|
||||
CATEGORY = "Comfy3D/Import|Export"
|
||||
|
||||
def save_mesh(self, mesh, save_path):
|
||||
def save_mesh(self, mesh, save_path, use_fastmesh):
|
||||
save_path = parse_save_filename(save_path, comfy_paths.output_directory, SUPPORTED_3D_EXTENSIONS, self.__class__.__name__)
|
||||
|
||||
if save_path is not None:
|
||||
mesh.write(save_path)
|
||||
|
||||
if use_fastmesh and save_path.endswith((".glb", ".ply", ".obj")):
|
||||
if hasattr(mesh, '_write_glb_fast'):
|
||||
mesh.write(save_path)
|
||||
else:
|
||||
fast_mesh = FastMesh(
|
||||
v=mesh.v, f=mesh.f, vn=mesh.vn, fn=mesh.fn,
|
||||
vt=mesh.vt, ft=mesh.ft, vc=mesh.vc,
|
||||
albedo=mesh.albedo, metallicRoughness=getattr(mesh, 'metallicRoughness', None),
|
||||
device=mesh.device
|
||||
)
|
||||
fast_mesh.ori_center = getattr(mesh, 'ori_center', 0)
|
||||
fast_mesh.ori_scale = getattr(mesh, 'ori_scale', 1)
|
||||
fast_mesh.write(save_path)
|
||||
else:
|
||||
mesh.write(save_path)
|
||||
|
||||
return (save_path, )
|
||||
|
||||
@@ -5540,15 +5561,8 @@ class Hunyuan3D_21_TexGen:
|
||||
|
||||
if os.path.exists(glb_path):
|
||||
try:
|
||||
glb_scene = trimesh.load(glb_path)
|
||||
|
||||
if hasattr(glb_scene, 'geometry') and glb_scene.geometry:
|
||||
mesh_name = list(glb_scene.geometry.keys())[0]
|
||||
glb_mesh = glb_scene.geometry[mesh_name]
|
||||
else:
|
||||
glb_mesh = glb_scene
|
||||
|
||||
mesh_out = Mesh.load_trimesh(given_mesh=glb_mesh)
|
||||
print(f"[Hunyuan3D] Loading GLB with PBR materials")
|
||||
mesh_out = FastMesh.load(glb_path, load_pbr=True)
|
||||
mesh_out.auto_normal()
|
||||
print(f"Loaded GLB mesh with PBR materials from: {glb_path}")
|
||||
except Exception as e:
|
||||
@@ -5557,8 +5571,7 @@ class Hunyuan3D_21_TexGen:
|
||||
|
||||
# If PBR failed or not requested, load regular textured mesh
|
||||
if mesh_out is None:
|
||||
textured_mesh = trimesh.load(result_path)
|
||||
mesh_out = Mesh.load_trimesh(given_mesh=textured_mesh)
|
||||
mesh_out = FastMesh.load(result_path, load_pbr=create_pbr)
|
||||
mesh_out.auto_normal()
|
||||
if create_pbr:
|
||||
print("Warning: PBR creation failed, loaded regular textured mesh")
|
||||
|
||||
Reference in New Issue
Block a user