629 lines
26 KiB
Python
629 lines
26 KiB
Python
import os
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import cv2
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from typing import NamedTuple, Optional
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import torch
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from torch import Tensor
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import trimesh
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import numpy as np
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from kiui.op import safe_normalize, dot
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from kiui.typing import *
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from .io_gltf import load_gltf_or_glb, get_binary_data, save_glb, GltfDocument
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from .mesh_ops import get_all_meshes_triangles
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from .accessors import access_data, append_accessor_and_bufferview
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from .mesh import Mesh
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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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self._lazy_texture_doc = None
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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', lazy_texture=True, **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, lazy_texture=lazy_texture, **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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print(f"[FastMesh] UV check: retex={retex}, albedo={mesh.albedo is not None}, vt={mesh.vt is not None}")
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if retex or (mesh.albedo is not None and mesh.vt is None):
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print(f"[FastMesh] Starting UV generation for {mesh.v.shape[0]} vertices...")
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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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print(f"[FastMesh] Checking front_dir: {front_dir}")
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if front_dir != "+z":
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print(f"[FastMesh] Applying front_dir rotation...")
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mesh._apply_front_dir_rotation(front_dir)
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print(f"[FastMesh] Loading completed successfully!")
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return mesh
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@classmethod
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def _load_gltf_fast(cls, path, device=None, lazy_texture=True, **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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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 UV, normals, colors from all meshes
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uvs, normals, colors = cls._extract_all_mesh_attributes(doc, mesh_groups, device)
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if uvs is not None:
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mesh.vt = uvs
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mesh.ft = mesh.f # Same topology
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print(f"[FastMesh] UV: {mesh.vt.shape}")
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if normals is not None:
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mesh.vn = normals
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mesh.fn = mesh.f
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print(f"[FastMesh] Normals: {mesh.vn.shape}")
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if colors is not None:
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mesh.vc = colors
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print(f"[FastMesh] Colors: {mesh.vc.shape}")
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if not lazy_texture:
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cls._extract_gltf_textures(mesh, doc, device)
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else:
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mesh._lazy_texture_doc = doc
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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_all_mesh_attributes(cls, doc, mesh_groups, device):
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"""Extract UV, normals, colors from all meshes in GLTF"""
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all_uvs = []
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all_normals = []
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all_colors = []
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for mesh_idx, gltf_mesh in enumerate(doc.meshes()):
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for primitive_idx, primitive in enumerate(gltf_mesh.get("primitives", [])):
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attributes = primitive.get("attributes", {})
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# Find corresponding mesh group
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mesh_group = None
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for group in mesh_groups:
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if group.get('mesh_idx') == mesh_idx and group.get('primitive_idx') == primitive_idx:
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mesh_group = group
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break
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if mesh_group is None:
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continue
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vertex_offset = mesh_group['vertex_offset']
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vertex_count = mesh_group['vertex_count']
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# Extract UV coordinates
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if "TEXCOORD_0" in attributes:
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try:
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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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all_uvs.append(uv_data)
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print(f"[FastMesh] Mesh {mesh_idx}.{primitive_idx} UV: {uv_data.shape}")
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except Exception as e:
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print(f"[FastMesh] Error extracting UV from mesh {mesh_idx}.{primitive_idx}: {e}")
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all_uvs.append(None)
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else:
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all_uvs.append(None)
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# Extract normals
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if "NORMAL" in attributes:
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try:
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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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all_normals.append(normal_data)
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print(f"[FastMesh] Mesh {mesh_idx}.{primitive_idx} Normals: {normal_data.shape}")
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except Exception as e:
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print(f"[FastMesh] Error extracting normals from mesh {mesh_idx}.{primitive_idx}: {e}")
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all_normals.append(None)
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else:
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all_normals.append(None)
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# Extract vertex colors
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if "COLOR_0" in attributes:
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try:
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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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all_colors.append(color_data)
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print(f"[FastMesh] Mesh {mesh_idx}.{primitive_idx} Colors: {color_data.shape}")
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except Exception as e:
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print(f"[FastMesh] Error extracting colors from mesh {mesh_idx}.{primitive_idx}: {e}")
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all_colors.append(None)
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else:
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all_colors.append(None)
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# Concatenate all data
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final_uvs = None
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final_normals = None
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final_colors = None
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if any(uv is not None for uv in all_uvs):
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# Pad missing UV data with zeros
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padded_uvs = []
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for i, uv in enumerate(all_uvs):
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if uv is not None:
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padded_uvs.append(uv)
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else:
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# Create dummy UV coordinates
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vertex_count = mesh_groups[i]['vertex_count'] if i < len(mesh_groups) else 1000
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dummy_uv = np.zeros((vertex_count, 2), dtype=np.float32)
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padded_uvs.append(dummy_uv)
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if padded_uvs:
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final_uvs = torch.tensor(np.concatenate(padded_uvs, axis=0), dtype=torch.float32, device=device)
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if any(normal is not None for normal in all_normals):
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valid_normals = [n for n in all_normals if n is not None]
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if valid_normals:
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final_normals = torch.tensor(np.concatenate(valid_normals, axis=0), dtype=torch.float32, device=device)
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if any(color is not None for color in all_colors):
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valid_colors = [c for c in all_colors if c is not None]
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if valid_colors:
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final_colors = torch.tensor(np.concatenate(valid_colors, axis=0), dtype=torch.float32, device=device)
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return final_uvs, final_normals, final_colors
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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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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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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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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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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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|
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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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|
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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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|
|
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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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|
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face_normals = torch.cross(v1 - v0, v2 - v0, dim=-1)
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|
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vn = torch.zeros_like(self.v)
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vn.scatter_add_(0, i0[:, None].repeat(1, 3), face_normals)
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vn.scatter_add_(0, i1[:, None].repeat(1, 3), face_normals)
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vn.scatter_add_(0, i2[:, None].repeat(1, 3), face_normals)
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|
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vn = torch.where(
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dot(vn, vn) > 1e-20,
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vn,
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torch.tensor([0.0, 0.0, 1.0], dtype=torch.float32, device=vn.device),
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)
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vn = safe_normalize(vn)
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|
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self.vn = vn
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self.fn = self.f
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|
|
|
def auto_uv(self, cache_path=None, vmap=True):
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"""Automatic calculation of UV (use method from standard Mesh)"""
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|
# Temporarily delegate to standard Mesh
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|
temp_mesh = Mesh(
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v=self.v, f=self.f, vn=self.vn, fn=self.fn,
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vt=self.vt, ft=self.ft, vc=self.vc,
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albedo=self.albedo, metallicRoughness=self.metallicRoughness,
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device=self.device
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|
)
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temp_mesh.auto_uv(cache_path=cache_path, vmap=vmap)
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|
|
|
# Copy result back
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|
self.vt = temp_mesh.vt
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|
self.ft = temp_mesh.ft
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|
if vmap:
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|
self.v = temp_mesh.v
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|
self.f = temp_mesh.f
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|
self.vn = temp_mesh.vn
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|
self.fn = temp_mesh.fn
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|
if temp_mesh.vc is not None:
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|
self.vc = temp_mesh.vc
|
|
|
|
def to(self, device):
|
|
"""Move to another device"""
|
|
self.device = device
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|
for name in ["v", "f", "vn", "fn", "vt", "ft", "albedo", "vc", "metallicRoughness"]:
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|
tensor = getattr(self, name)
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|
if tensor is not None:
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|
setattr(self, name, tensor.to(device))
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|
return self
|
|
|
|
def write(self, path):
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|
"""Fast saving using mesh_processor for GLB/GLTF files"""
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|
if path.endswith(".glb"):
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|
self._write_glb_fast(path)
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|
elif path.endswith(".gltf"):
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|
# For GLTF, fallback to standard method (less common)
|
|
self._write_fallback(path)
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|
elif path.endswith(".ply"):
|
|
self._write_ply_fast(path)
|
|
elif path.endswith(".obj"):
|
|
self._write_obj_fast(path)
|
|
else:
|
|
# Fallback for unknown formats
|
|
self._write_fallback(path)
|
|
|
|
def _write_glb_fast(self, path):
|
|
"""Fast GLB writing using mesh_processor"""
|
|
try:
|
|
# Prepare data
|
|
vertices = self.v.detach().cpu().numpy().astype(np.float32)
|
|
faces = self.f.detach().cpu().numpy().astype(np.uint32)
|
|
|
|
# Create minimal GLTF structure
|
|
gltf_json = {
|
|
"asset": {"version": "2.0", "generator": "FastMesh"},
|
|
"scenes": [{"nodes": [0]}],
|
|
"nodes": [{"mesh": 0}],
|
|
"meshes": [{
|
|
"primitives": [{
|
|
"mode": 4 # TRIANGLES
|
|
}]
|
|
}]
|
|
}
|
|
|
|
# Create document with empty buffer
|
|
doc = GltfDocument(json_data=gltf_json, binary_buffers={0: np.array([], dtype=np.uint8)})
|
|
|
|
# Add vertex data using helper function
|
|
pos_accessor, _ = append_accessor_and_bufferview(
|
|
doc, vertices,
|
|
component_type=5126, # FLOAT
|
|
element_type="VEC3",
|
|
target=34962 # ARRAY_BUFFER
|
|
)
|
|
|
|
# Add face data using helper function
|
|
faces_flat = faces.flatten()
|
|
face_component_type = 5123 if vertices.shape[0] <= 65535 else 5125 # UNSIGNED_SHORT or UNSIGNED_INT
|
|
face_dtype = np.uint16 if face_component_type == 5123 else np.uint32
|
|
|
|
idx_accessor, _ = append_accessor_and_bufferview(
|
|
doc, faces_flat.astype(face_dtype),
|
|
component_type=face_component_type,
|
|
element_type="SCALAR",
|
|
target=34963 # ELEMENT_ARRAY_BUFFER
|
|
)
|
|
|
|
# Update primitive with accessor indices
|
|
primitive = doc.json()["meshes"][0]["primitives"][0]
|
|
primitive["attributes"] = {"POSITION": pos_accessor}
|
|
primitive["indices"] = idx_accessor
|
|
|
|
# Save to file
|
|
with open(path, "wb") as f:
|
|
save_glb(doc, f)
|
|
|
|
print(f"[FastMesh] Fast GLB saved: {path}")
|
|
|
|
except Exception as e:
|
|
print(f"[FastMesh] Fast GLB save failed: {e}, using fallback")
|
|
self._write_fallback(path)
|
|
|
|
def _write_ply_fast(self, path):
|
|
"""Fast PLY writing"""
|
|
vertices = self.v.detach().cpu().numpy()
|
|
faces = self.f.detach().cpu().numpy()
|
|
|
|
with open(path, 'w') as f:
|
|
f.write("ply\n")
|
|
f.write("format ascii 1.0\n")
|
|
f.write(f"element vertex {len(vertices)}\n")
|
|
f.write("property float x\n")
|
|
f.write("property float y\n")
|
|
f.write("property float z\n")
|
|
f.write(f"element face {len(faces)}\n")
|
|
f.write("property list uchar int vertex_indices\n")
|
|
f.write("end_header\n")
|
|
|
|
for v in vertices:
|
|
f.write(f"{v[0]} {v[1]} {v[2]}\n")
|
|
|
|
for face in faces:
|
|
f.write(f"3 {face[0]} {face[1]} {face[2]}\n")
|
|
|
|
def _write_obj_fast(self, path):
|
|
"""Fast OBJ writing"""
|
|
vertices = self.v.detach().cpu().numpy()
|
|
faces = self.f.detach().cpu().numpy()
|
|
|
|
with open(path, 'w') as f:
|
|
for v in vertices:
|
|
f.write(f"v {v[0]} {v[1]} {v[2]}\n")
|
|
|
|
for face in faces:
|
|
f.write(f"f {face[0]+1} {face[1]+1} {face[2]+1}\n")
|
|
|
|
def _write_fallback(self, path):
|
|
"""Fallback to standard Mesh write method"""
|
|
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) |