UAV/post_pro/merge_obj.py

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import os
import logging
import pandas as pd
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from typing import Dict, List, Tuple
import numpy as np
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import shutil
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import time
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import cv2
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import subprocess
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from pyproj import Transformer
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class MergeObj:
def __init__(self, output_dir: str):
self.output_dir = output_dir
self.logger = logging.getLogger('UAV_Preprocess.MergeObj')
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# 用于存储所有grid的UTM范围
self.min_east = float('inf')
self.min_north = float('inf')
self.max_east = float('-inf')
self.max_north = float('-inf')
# 初始化UTM到WGS84的转换器
self.transformer = Transformer.from_crs("EPSG:32649", "EPSG:4326", always_xy=True)
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def read_obj(self, file_path):
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"""读取.obj文件返回顶点、纹理坐标、法线、面的列表和MTL文件名"""
vertices = [] # v
tex_coords = [] # vt
normals = [] # vn
faces = [] # f
face_materials = [] # 每个面对应的材质名称
mtl_file = None # mtl文件名
current_material = None # 当前使用的材质
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with open(file_path, 'r') as file:
for line in file:
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if line.startswith('#') or not line.strip():
continue
parts = line.strip().split()
if not parts:
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continue
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if parts[0] == 'mtllib': # MTL文件引用
mtl_file = parts[1]
elif parts[0] == 'usemtl': # 材质使用
current_material = parts[1]
elif parts[0] == 'v': # 顶点
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vertices.append(
[float(parts[1]), float(parts[2]), float(parts[3])])
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elif parts[0] == 'vt': # 纹理坐标
tex_coords.append([float(parts[1]), float(parts[2])])
elif parts[0] == 'vn': # 法线
normals.append(
[float(parts[1]), float(parts[2]), float(parts[3])])
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elif parts[0] == 'f': # 面
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# 处理面的索引 (v/vt/vn)
face_v = []
face_vt = []
face_vn = []
for p in parts[1:]:
indices = p.split('/')
face_v.append(int(indices[0]))
if len(indices) > 1 and indices[1]:
face_vt.append(int(indices[1]))
if len(indices) > 2:
face_vn.append(int(indices[2]))
faces.append((face_v, face_vt, face_vn))
face_materials.append(current_material) # 记录这个面使用的材质
return vertices, tex_coords, normals, faces, face_materials, mtl_file
def write_obj(self, file_path, vertices, tex_coords, normals, faces, face_materials, mtl_file=None):
"""将顶点、纹理坐标、法线和面写入到.obj文件"""
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with open(file_path, 'w') as file:
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# 写入MTL文件引用
if mtl_file:
file.write(f"mtllib {mtl_file}\n")
# 写入顶点
for v in vertices:
file.write(f"v {v[0]} {v[1]} {v[2]}\n")
# 写入纹理坐标
for vt in tex_coords:
file.write(f"vt {vt[0]} {vt[1]}\n")
# 写入法线
for vn in normals:
file.write(f"vn {vn[0]} {vn[1]} {vn[2]}\n")
# 写入面(按材质分组)
current_material = None
for face, material in zip(faces, face_materials):
# 如果材质发生变化写入新的usemtl
if material != current_material:
file.write(f"usemtl {material}\n")
current_material = material
face_str = "f"
for i in range(len(face[0])):
face_str += " "
face_str += str(face[0][i])
if face[1]:
face_str += f"/{face[1][i]}"
else:
face_str += "/"
if face[2]:
face_str += f"/{face[2][i]}"
else:
face_str += "/"
file.write(face_str + "\n")
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def merge_two_objs(self, obj1_path: str, obj2_path: str, output_path: str, grid_id1: tuple, grid_id2: tuple):
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"""合并两个OBJ文件"""
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try:
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self.logger.info(f"开始合并OBJ模型:\n输入1: {obj1_path}\n输入2: {obj2_path}")
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# 读取两个obj文件
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vertices1, tex_coords1, normals1, faces1, face_materials1, mtl1 = self.read_obj(
obj1_path)
vertices2, tex_coords2, normals2, faces2, face_materials2, mtl2 = self.read_obj(
obj2_path)
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# 读取MTL文件内容以获取正确的材质名称
src_dir1 = os.path.dirname(obj1_path)
src_dir2 = os.path.dirname(obj2_path)
mtl1_path = os.path.join(src_dir1, mtl1)
mtl2_path = os.path.join(src_dir2, mtl2)
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# 读取并更新材质内容
materials1 = self.read_mtl(mtl1_path)
materials2 = self.read_mtl(mtl2_path)
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# 创建材质名称映射使用与MTL文件相同的命名格式
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material_map1 = {}
material_map2 = {}
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# 处理第一个模型的材质映射
for old_name in materials1.keys():
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if "grid_0_0" in obj1_path:
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material_map1[old_name] = f"material_{grid_id1[0]}_{grid_id1[1]}_{old_name}"
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else:
# 更新完一次后,之后就不用再更新了
material_map1[old_name] = old_name
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# 处理第二个模型的材质映射
for old_name in materials2.keys():
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material_map2[old_name] = f"material_{grid_id2[0]}_{grid_id2[1]}_{old_name}"
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# 计算偏移量
v_offset = len(vertices1)
vt_offset = len(tex_coords1)
vn_offset = len(normals1)
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# 合并顶点、纹理坐标和法线
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all_vertices = vertices1 + vertices2
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all_tex_coords = tex_coords1 + tex_coords2
all_normals = normals1 + normals2
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# 调整第二个模型的面索引和材质名称
all_faces = faces1.copy()
all_face_materials = []
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# 更新第一个模型的材质名称
for material in face_materials1:
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all_face_materials.append(material_map1.get(material))
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# 更新第二个模型的面索引和材质名称
for face, material in zip(faces2, face_materials2):
new_face_v = [f + v_offset for f in face[0]]
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new_face_vt = [
f + vt_offset for f in face[1]] if face[1] else []
new_face_vn = [
f + vn_offset for f in face[2]] if face[2] else []
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all_faces.append((new_face_v, new_face_vt, new_face_vn))
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all_face_materials.append(material_map2.get(material))
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# 写入合并后的obj文件使用与MTL文件相同的名称
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mtl_filename = "textured_model.mtl" # 使用固定的MTL文件名
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self.write_obj(output_path, all_vertices, all_tex_coords, all_normals,
all_faces, all_face_materials, mtl_filename)
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self.logger.info(f"模型合并成功,已保存至: {output_path}")
except Exception as e:
self.logger.error(f"合并OBJ模型时发生错误: {str(e)}", exc_info=True)
raise
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def merge_grid_obj(self, grid_points: Dict[tuple, pd.DataFrame]) -> Tuple[float, float]:
"""合并所有网格的OBJ模型
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Args:
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grid_points: 网格点数据字典
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Returns:
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Tuple[float, float]: (longitude, latitude)中心点经纬度坐标
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"""
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try:
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# 创建输出目录
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output_model_dir = os.path.join(self.output_dir, "texturing")
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os.makedirs(output_model_dir, exist_ok=True)
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# 第一次遍历获取所有grid的UTM范围
for grid_id, points in grid_points.items():
base_dir = os.path.join(
self.output_dir,
f"grid_{grid_id[0]}_{grid_id[1]}",
"project"
)
log_file = os.path.join(base_dir, "odm_orthophoto", "odm_orthophoto_log.txt")
east_offset, north_offset = self.read_utm_offset(log_file)
# 更新UTM范围
self.min_east = min(self.min_east, east_offset)
self.min_north = min(self.min_north, north_offset)
self.max_east = max(self.max_east, east_offset)
self.max_north = max(self.max_north, north_offset)
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# 获取所有有效的网格文件
grid_files = {}
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grid_centers = [] # 用于存储每个grid的中心点坐标
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for grid_id, points in grid_points.items():
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base_dir = os.path.join(
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self.output_dir,
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f"grid_{grid_id[0]}_{grid_id[1]}",
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"project",
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"odm_texturing"
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)
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obj_path = os.path.join(base_dir, "odm_textured_model_geo.obj")
mtl_path = os.path.join(base_dir, "odm_textured_model_geo.mtl")
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if not os.path.exists(obj_path) or not os.path.exists(mtl_path):
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self.logger.warning(
f"网格 ({grid_id[0]},{grid_id[1]}) 的文件不存在")
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continue
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# 读取UTM偏移量
log_file = os.path.join(base_dir, "..", "odm_orthophoto", "odm_orthophoto_log.txt")
utm_offset = self.read_utm_offset(log_file)
# 修改obj文件的顶点坐标
modified_obj = self.modify_obj_coordinates(obj_path, utm_offset)
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grid_files[grid_id] = {
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'obj': modified_obj,
'mtl': mtl_path.replace('.mtl', '_utm.mtl'),
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'dir': base_dir
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}
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# 读取obj文件的顶点坐标并计算当前grid的中心点
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vertices, _, _, _, _, _ = self.read_obj(modified_obj)
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grid_center_lon, grid_center_lat = self.get_center_coordinates(vertices)
grid_centers.append((grid_center_lon, grid_center_lat))
self.logger.info(f"网格 ({grid_id[0]},{grid_id[1]}) 中心点经纬度: ({grid_center_lon}, {grid_center_lat})")
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if not grid_files:
self.logger.error("没有找到有效的文件")
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return
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# 收集所有材质和纹理信息
all_materials = {}
for grid_id, files in grid_files.items():
# 复制并重命名纹理文件
texture_map = self.copy_and_rename_texture(
files['dir'],
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output_model_dir,
grid_id
)
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# 读取并更新MTL内容
materials = self.read_mtl(files['mtl'])
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if len(grid_files) == 1:
# 对于单个grid直接使用update_mtl_content的结果
updated_materials = self.update_mtl_content(
materials,
texture_map,
grid_id
)
all_materials.update(updated_materials)
else:
# 对于多个grid使用原有的处理逻辑
updated_materials = self.update_mtl_content(
materials,
texture_map,
grid_id
)
all_materials.update(updated_materials)
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# 写入合并后的MTL文件
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final_mtl = os.path.join(output_model_dir, "textured_model.mtl")
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with open(final_mtl, 'w') as f:
for mat_name, content in all_materials.items():
f.write(f"newmtl {mat_name}\n")
for line in content:
f.write(f"{line}\n")
f.write("\n")
# 最终结果
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final_obj = os.path.join(output_model_dir, "textured_model.obj")
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if len(grid_files) == 1:
# 对于单个grid需要修改obj文件中的材质引用
grid_id = list(grid_files.keys())[0]
src_obj = grid_files[grid_id]['obj']
# 读取源obj文件内容
vertices, tex_coords, normals, faces, face_materials, _ = self.read_obj(src_obj)
# 更新材质名称,添加网格前缀
updated_face_materials = []
for mat in face_materials:
if mat: # 如果材质名不为空
updated_face_materials.append(f"material_{grid_id[0]}_{grid_id[1]}_{mat}")
else:
updated_face_materials.append(mat)
# 写入新的obj文件
self.write_obj(final_obj, vertices, tex_coords, normals, faces, updated_face_materials, "textured_model.mtl")
else:
# 合并多个OBJ文件
reference_id = list(grid_files.keys())[0]
merged_obj = grid_files[reference_id]['obj']
temp_files = [] # 记录所有中间文件
for grid_id, files in list(grid_files.items())[1:]:
# 生成临时输出文件名
temp_output = os.path.join(
output_model_dir,
f"temp_merged_{int(time.time())}.obj"
)
temp_files.append(temp_output) # 添加到临时文件列表
self.merge_two_objs(
merged_obj, files['obj'], temp_output, reference_id, grid_id)
merged_obj = temp_output
# 重命名最终文件
try:
if os.path.exists(final_obj):
os.remove(final_obj)
os.rename(merged_obj, final_obj)
except Exception as e:
self.logger.warning(f"重命名最终文件失败: {str(e)}")
shutil.copy2(merged_obj, final_obj)
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try:
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os.remove(merged_obj)
except:
pass
# 清理所有临时文件
for temp_file in temp_files:
if os.path.exists(temp_file):
try:
os.remove(temp_file)
except Exception as e:
self.logger.warning(
f"删除临时文件失败: {temp_file}, 错误: {str(e)}")
# 计算所有grid中心点的平均值作为整体中心点
center_lon = sum(center[0] for center in grid_centers) / len(grid_centers)
center_lat = sum(center[1] for center in grid_centers) / len(grid_centers)
self.logger.info(f"模型整体中心点经纬度: ({center_lon}, {center_lat})")
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return center_lon, center_lat
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except Exception as e:
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self.logger.error(f"合并过程中发生错误: {str(e)}", exc_info=True)
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raise
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def get_center_coordinates(self, vertices: List[List[float]]) -> Tuple[float, float]:
"""计算顶点的中心点UTM坐标并转换为WGS84经纬度。
注意顶点坐标是相对于整体最小UTM坐标的偏移值需要加回最小UTM坐标
Args:
vertices: 顶点列表每个顶点是[x, y, z]格式x和y是相对于最小UTM坐标的偏移
Returns:
Tuple[float, float]: (longitude, latitude)经纬度坐标
"""
# 计算相对坐标的边界框
x_coords = [v[0] for v in vertices]
y_coords = [v[1] for v in vertices]
# 计算中心点相对坐标
center_x_relative = (min(x_coords) + max(x_coords)) / 2
center_y_relative = (min(y_coords) + max(y_coords)) / 2
# 加回最小UTM坐标得到实际的UTM坐标
center_x_utm = center_x_relative + self.min_east
center_y_utm = center_y_relative + self.min_north
# 转换为WGS84经纬度
lon, lat = self.transformer.transform(center_x_utm, center_y_utm)
self.logger.info(f"模型UTM中心点: ({center_x_utm}, {center_y_utm})")
return lon, lat
def read_mtl(self, mtl_path: str) -> dict:
"""读取MTL文件内容
Returns:
dict: 材质名称到材质信息的映射
"""
materials = {}
current_material = None
with open(mtl_path, 'r') as f:
content = f.read()
for line in content.strip().split('\n'):
if not line:
continue
parts = line.split()
if not parts:
continue
if parts[0] == 'newmtl':
current_material = parts[1]
materials[current_material] = []
elif current_material:
materials[current_material].append(line)
return materials
def copy_and_rename_texture(self, src_dir: str, dst_dir: str, grid_id: tuple) -> dict:
"""复制并重命名纹理文件对大于100MB的文件进行下采样
Args:
src_dir: 源纹理目录
dst_dir: 目标纹理目录
grid_id: 网格ID
Returns:
dict: 原始文件名到新文件名的映射
"""
texture_map = {}
os.makedirs(dst_dir, exist_ok=True)
for file in os.listdir(src_dir):
if file.lower().endswith(('.png', '.jpg', '.jpeg')):
# 生成新的文件名
new_name = f"grid_{grid_id[0]}_{grid_id[1]}_{file}"
src_path = os.path.join(src_dir, file)
dst_path = os.path.join(dst_dir, new_name)
# 检查文件大小(以字节为单位)
file_size = os.path.getsize(src_path)
if file_size > 100 * 1024 * 1024: # 大于100MB
self.logger.info(f"纹理文件 {file} 大于100MB进行4倍下采样")
# 读取图像
img = cv2.imread(src_path, cv2.IMREAD_UNCHANGED)
if img is not None:
# 计算新的尺寸长宽各变为1/4
new_size = (img.shape[1] // 4, img.shape[0] // 4)
# 使用双三次插值进行下采样
resized_img = cv2.resize(
img, new_size, interpolation=cv2.INTER_CUBIC)
# 保存压缩后的图像
if file.lower().endswith('.png'):
cv2.imwrite(dst_path, resized_img, [
cv2.IMWRITE_PNG_COMPRESSION, 9])
else:
cv2.imwrite(dst_path, resized_img, [
cv2.IMWRITE_JPEG_QUALITY, 95])
else:
self.logger.warning(f"无法读取图像文件: {src_path}")
shutil.copy2(src_path, dst_path)
else:
# 文件大小未超过100MB直接复制
shutil.copy2(src_path, dst_path)
texture_map[file] = new_name
self.logger.debug(f"处理纹理文件: {file} -> {new_name}")
return texture_map
def update_mtl_content(self, materials: dict, texture_map: dict, grid_id: tuple) -> dict:
"""更新材质内容,修改材质名称和纹理路径
Args:
materials: 原始材质信息
texture_map: 纹理文件映射
grid_id: 网格ID
Returns:
dict: 更新后的材质信息
"""
updated_materials = {}
for mat_name, content in materials.items():
# 为材质名称添加网格ID前缀与OBJ文件中的usemtl保持一致
new_mat_name = f"material_{grid_id[0]}_{grid_id[1]}_{mat_name}"
updated_content = []
for line in content:
if line.startswith('map_'): # 更新纹理文件路径
parts = line.split()
old_texture = parts[-1]
if old_texture in texture_map:
parts[-1] = texture_map[old_texture]
line = ' '.join(parts)
updated_content.append(line)
updated_materials[new_mat_name] = updated_content
return updated_materials
def read_utm_offset(self, log_file: str) -> tuple:
"""读取UTM偏移量"""
try:
east_offset = None
north_offset = None
with open(log_file, 'r') as f:
lines = f.readlines()
for i, line in enumerate(lines):
if 'utm_north_offset' in line and i + 1 < len(lines):
north_offset = float(lines[i + 1].strip())
elif 'utm_east_offset' in line and i + 1 < len(lines):
east_offset = float(lines[i + 1].strip())
if east_offset is None or north_offset is None:
raise ValueError("未找到UTM偏移量")
return east_offset, north_offset
except Exception as e:
self.logger.error(f"读取UTM偏移量时发生错误: {str(e)}")
raise
def modify_obj_coordinates(self, obj_file: str, utm_offset: tuple) -> str:
"""修改obj文件中的顶点坐标使用相对坐标系"""
east_offset, north_offset = utm_offset
output_obj = obj_file.replace('.obj', '_utm.obj')
try:
with open(obj_file, 'r') as f_in, open(output_obj, 'w') as f_out:
for line in f_in:
if line.startswith('v '):
# 处理顶点坐标行
parts = line.strip().split()
# 使用相对于整体最小UTM坐标的偏移
x = float(parts[1]) + (east_offset - self.min_east)
y = float(parts[2]) + (north_offset - self.min_north)
z = float(parts[3])
f_out.write(f'v {x:.6f} {y:.6f} {z:.6f}\n')
else:
# 其他行直接写入
f_out.write(line)
# 复制材质文件
mtl_file = obj_file.replace('.obj', '.mtl')
if os.path.exists(mtl_file):
shutil.copy2(mtl_file, mtl_file.replace('.mtl', '_utm.mtl'))
return output_obj
except Exception as e:
self.logger.error(f"修改obj坐标时发生错误: {str(e)}")
raise