143 lines
4.8 KiB
Python
143 lines
4.8 KiB
Python
import os
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import logging
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import numpy as np
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from typing import Dict
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import pandas as pd
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import open3d as o3d
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class MergeObj:
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def __init__(self, output_dir: str):
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self.output_dir = output_dir
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self.logger = logging.getLogger('UAV_Preprocess.MergeObj')
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def merge_two_objs(self, obj1_path: str, obj2_path: str, output_path: str):
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"""使用Open3D合并两个OBJ文件"""
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try:
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self.logger.info("开始合并OBJ模型")
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self.logger.info(f"输入模型1: {obj1_path}")
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self.logger.info(f"输入模型2: {obj2_path}")
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self.logger.info(f"输出模型: {output_path}")
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# 检查输入文件是否存在
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if not os.path.exists(obj1_path) or not os.path.exists(obj2_path):
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raise FileNotFoundError("输入模型文件不存在")
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# 读取OBJ文件
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mesh1 = o3d.io.read_triangle_mesh(obj1_path)
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mesh2 = o3d.io.read_triangle_mesh(obj2_path)
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if mesh1.is_empty() or mesh2.is_empty():
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raise ValueError("无法读取OBJ文件或文件为空")
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# # 计算并对齐中心点
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# center1 = mesh1.get_center()
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# center2 = mesh2.get_center()
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# translation_vector = center2 - center1
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# mesh2.translate(translation_vector)
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# 不对齐，直接合并网格
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combined_mesh = mesh1 + mesh2
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# 优化合并后的网格
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combined_mesh.remove_duplicated_vertices()
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combined_mesh.remove_duplicated_triangles()
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combined_mesh.compute_vertex_normals()
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# 保存合并后的模型
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if not o3d.io.write_triangle_mesh(output_path, combined_mesh):
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raise RuntimeError("保存合并后的模型失败")
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self.logger.info(f"模型合并成功，已保存至: {output_path}")
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except Exception as e:
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self.logger.error(f"合并OBJ模型时发生错误: {str(e)}", exc_info=True)
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raise
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def merge_grid_obj(self, grid_points: Dict[int, pd.DataFrame]):
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"""合并所有网格的OBJ模型"""
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self.logger.info("开始合并所有网格的OBJ模型")
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if len(grid_points) < 2:
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self.logger.info("只有一个网格，无需合并")
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return
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input_obj1, input_obj2 = None, None
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merge_count = 0
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try:
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for grid_idx, points in grid_points.items():
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grid_obj = os.path.join(
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self.output_dir,
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f"grid_{grid_idx + 1}",
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"project",
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"odm_texturing_25d",
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"odm_textured_model_geo.obj"
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)
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if not os.path.exists(grid_obj):
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self.logger.warning(
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f"网格 {grid_idx + 1} 的OBJ文件不存在: {grid_obj}")
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continue
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if input_obj1 is None:
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input_obj1 = grid_obj
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self.logger.info(f"设置第一个输入OBJ: {input_obj1}")
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else:
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input_obj2 = grid_obj
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output_obj = os.path.join(
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self.output_dir, "merged_model.obj")
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self.logger.info(
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f"开始合并第 {merge_count + 1} 次:\n"
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f"输入1: {input_obj1}\n"
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f"输入2: {input_obj2}\n"
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f"输出: {output_obj}"
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)
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self.merge_two_objs(input_obj1, input_obj2, output_obj)
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merge_count += 1
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input_obj1 = output_obj
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input_obj2 = None
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self.logger.info(
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f"OBJ模型合并完成，共执行 {merge_count} 次合并，"
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f"最终输出文件: {input_obj1}"
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)
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except Exception as e:
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self.logger.error(f"OBJ模型合并过程中发生错误: {str(e)}", exc_info=True)
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raise
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if __name__ == "__main__":
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import sys
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sys.path.append(os.path.dirname(
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os.path.dirname(os.path.abspath(__file__))))
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from utils.logger import setup_logger
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import pandas as pd
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# 设置输出目录和日志
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output_dir = r"G:\ODM_output\1009"
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setup_logger(output_dir)
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# 构造测试用的grid_points字典
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# 假设我们有两个网格，每个网格包含一些GPS点的DataFrame
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grid_points = {
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0: pd.DataFrame({
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'latitude': [39.9, 39.91],
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'longitude': [116.3, 116.31],
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'altitude': [100, 101]
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}),
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1: pd.DataFrame({
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'latitude': [39.92, 39.93],
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'longitude': [116.32, 116.33],
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'altitude': [102, 103]
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})
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}
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# 创建MergeObj实例并执行合并
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merge_obj = MergeObj(output_dir)
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merge_obj.merge_grid_obj(grid_points)
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