UAV_odm_merge/post_pro/merge_obj.py

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2024-12-30 17:34:21 +08:00
import os
import logging
import numpy as np
from typing import Dict
import pandas as pd
import open3d as o3d
class MergeObj:
def __init__(self, output_dir: str):
self.output_dir = output_dir
self.logger = logging.getLogger('UAV_Preprocess.MergeObj')
def merge_two_objs(self, obj1_path: str, obj2_path: str, output_path: str):
"""使用Open3D合并两个OBJ文件"""
try:
self.logger.info("开始合并OBJ模型")
self.logger.info(f"输入模型1: {obj1_path}")
self.logger.info(f"输入模型2: {obj2_path}")
self.logger.info(f"输出模型: {output_path}")
# 检查输入文件是否存在
if not os.path.exists(obj1_path) or not os.path.exists(obj2_path):
raise FileNotFoundError("输入模型文件不存在")
# 读取OBJ文件
mesh1 = o3d.io.read_triangle_mesh(obj1_path)
mesh2 = o3d.io.read_triangle_mesh(obj2_path)
if mesh1.is_empty() or mesh2.is_empty():
raise ValueError("无法读取OBJ文件或文件为空")
# # 计算并对齐中心点
# center1 = mesh1.get_center()
# center2 = mesh2.get_center()
# translation_vector = center2 - center1
# mesh2.translate(translation_vector)
# 不对齐,直接合并网格
combined_mesh = mesh1 + mesh2
# 优化合并后的网格
combined_mesh.remove_duplicated_vertices()
combined_mesh.remove_duplicated_triangles()
combined_mesh.compute_vertex_normals()
# 保存合并后的模型
if not o3d.io.write_triangle_mesh(output_path, combined_mesh):
raise RuntimeError("保存合并后的模型失败")
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
def merge_grid_obj(self, grid_points: Dict[int, pd.DataFrame]):
"""合并所有网格的OBJ模型"""
self.logger.info("开始合并所有网格的OBJ模型")
if len(grid_points) < 2:
self.logger.info("只有一个网格,无需合并")
return
input_obj1, input_obj2 = None, None
merge_count = 0
try:
for grid_idx, points in grid_points.items():
grid_obj = os.path.join(
self.output_dir,
f"grid_{grid_idx + 1}",
"project",
"odm_texturing_25d",
"odm_textured_model_geo.obj"
)
if not os.path.exists(grid_obj):
self.logger.warning(
f"网格 {grid_idx + 1} 的OBJ文件不存在: {grid_obj}")
continue
if input_obj1 is None:
input_obj1 = grid_obj
self.logger.info(f"设置第一个输入OBJ: {input_obj1}")
else:
input_obj2 = grid_obj
output_obj = os.path.join(
self.output_dir, "merged_model.obj")
self.logger.info(
f"开始合并第 {merge_count + 1} 次:\n"
f"输入1: {input_obj1}\n"
f"输入2: {input_obj2}\n"
f"输出: {output_obj}"
)
self.merge_two_objs(input_obj1, input_obj2, output_obj)
merge_count += 1
input_obj1 = output_obj
input_obj2 = None
self.logger.info(
f"OBJ模型合并完成共执行 {merge_count} 次合并,"
f"最终输出文件: {input_obj1}"
)
except Exception as e:
self.logger.error(f"OBJ模型合并过程中发生错误: {str(e)}", exc_info=True)
raise
if __name__ == "__main__":
import sys
sys.path.append(os.path.dirname(
os.path.dirname(os.path.abspath(__file__))))
from utils.logger import setup_logger
import pandas as pd
# 设置输出目录和日志
output_dir = r"G:\ODM_output\1009"
setup_logger(output_dir)
# 构造测试用的grid_points字典
# 假设我们有两个网格每个网格包含一些GPS点的DataFrame
grid_points = {
0: pd.DataFrame({
'latitude': [39.9, 39.91],
'longitude': [116.3, 116.31],
'altitude': [100, 101]
}),
1: pd.DataFrame({
'latitude': [39.92, 39.93],
'longitude': [116.32, 116.33],
'altitude': [102, 103]
})
}
# 创建MergeObj实例并执行合并
merge_obj = MergeObj(output_dir)
merge_obj.merge_grid_obj(grid_points)