UAV/post_pro/merge_ply.py

import os
import logging
import numpy as np
from typing import Dict, Tuple
import pandas as pd
import open3d as o3d


class MergePly:
    def __init__(self, output_dir: str):
        self.output_dir = output_dir
        self.logger = logging.getLogger('UAV_Preprocess.MergePly')
        
    def read_corners_file(self, grid_idx: int) -> Tuple[float, float]:
        """读取角点文件并计算中心点坐标
        角点文件格式：xmin ymin xmax ymax
        """
        corners_file = os.path.join(
            self.output_dir,
            f"grid_{grid_idx + 1}",
            "project",
            "odm_orthophoto",
            "odm_orthophoto_corners.txt"
        )
        
        try:
            if not os.path.exists(corners_file):
                raise FileNotFoundError(f"角点文件不存在: {corners_file}")
                
            # 读取角点文件
            with open(corners_file, 'r') as f:
                line = f.readline().strip()
                if not line:
                    raise ValueError(f"角点文件为空: {corners_file}")
                
                # 解析四个角点值：xmin ymin xmax ymax
                xmin, ymin, xmax, ymax = map(float, line.split())
                
                # 计算中心点坐标
                center_x = (xmin + xmax) / 2
                center_y = (ymin + ymax) / 2
                
                self.logger.info(
                    f"网格 {grid_idx + 1} 边界坐标: \n"
                    f"xmin={xmin:.2f}, ymin={ymin:.2f}\n"
                    f"xmax={xmax:.2f}, ymax={ymax:.2f}\n"
                    f"中心点: x={center_x:.2f}, y={center_y:.2f}"
                )
                return center_x, center_y
                
        except Exception as e:
            self.logger.error(f"读取角点文件时发生错误: {str(e)}", exc_info=True)
            raise

    def merge_two_plys(self, ply1_path: str, ply2_path: str, output_path: str,
                      center1: Tuple[float, float],
                      center2: Tuple[float, float]):
        """合并两个PLY文件，使用中心点坐标进行对齐"""
        try:
            self.logger.info("开始合并PLY点云")
            self.logger.info(f"输入点云1: {ply1_path}")
            self.logger.info(f"输入点云2: {ply2_path}")
            self.logger.info(f"输出点云: {output_path}")

            # 检查输入文件是否存在
            if not os.path.exists(ply1_path) or not os.path.exists(ply2_path):
                raise FileNotFoundError("输入点云文件不存在")

            # 读取点云
            pcd1 = o3d.io.read_point_cloud(ply1_path)
            pcd2 = o3d.io.read_point_cloud(ply2_path)

            if pcd1 is None or pcd2 is None:
                raise ValueError("无法读取点云文件")

            # 计算平移向量（直接使用中心点坐标差）
            translation = np.array([
                center2[0] - center1[0],  # x方向的平移
                center2[1] - center1[1],  # y方向的平移
                0.0  # z方向不平移
            ])
            
            # 对第二个点云进行平移
            pcd2.translate(translation*100)

            # 合并点云
            combined_pcd = pcd1 + pcd2

            # 保存合并后的点云
            if not o3d.io.write_point_cloud(output_path, combined_pcd):
                raise RuntimeError("保存合并后的点云失败")

            self.logger.info(f"点云合并成功，已保存至: {output_path}")

        except Exception as e:
            self.logger.error(f"合并PLY点云时发生错误: {str(e)}", exc_info=True)
            raise

    def merge_grid_ply(self, grid_points: Dict[int, list]):
        """合并所有网格的PLY点云，以第一个网格为参考点"""
        self.logger.info("开始合并所有网格的PLY点云")

        if len(grid_points) < 2:
            self.logger.info("只有一个网格，无需合并")
            return

        try:
            # 获取网格索引列表并排序
            grid_indices = sorted(grid_points.keys())
            
            # 读取第一个网格作为参考网格
            ref_idx = grid_indices[0]
            ref_ply = os.path.join(
                self.output_dir,
                f"grid_{ref_idx + 1}",
                "project",
                "odm_filterpoints",
                "point_cloud.ply"
            )
            
            if not os.path.exists(ref_ply):
                raise FileNotFoundError(f"参考网格的PLY文件不存在: {ref_ply}")
            
            # 获取参考网格的中心点坐标
            ref_center = self.read_corners_file(ref_idx)
            self.logger.info(f"参考网格(grid_{ref_idx + 1})中心点: x={ref_center[0]:.2f}, y={ref_center[1]:.2f}")
            
            # 将参考点云复制到输出位置作为初始合并结果
            output_ply = os.path.join(self.output_dir, "merged_pointcloud.ply")
            import shutil
            shutil.copy2(ref_ply, output_ply)
            
            # 依次处理其他网格
            for grid_idx in grid_indices[1:]:
                current_ply = os.path.join(
                    self.output_dir,
                    f"grid_{grid_idx + 1}",
                    "project",
                    "odm_filterpoints",
                    "point_cloud.ply"
                )

                if not os.path.exists(current_ply):
                    self.logger.warning(f"网格 {grid_idx + 1} 的PLY文件不存在: {current_ply}")
                    continue

                # 读取当前网格的中心点坐标
                current_center = self.read_corners_file(grid_idx)
                
                self.logger.info(
                    f"处理网格 {grid_idx + 1}:\n"
                    f"合并点云: {current_ply}\n"
                    f"当前网格中心点: x={current_center[0]:.2f}, y={current_center[1]:.2f}"
                )

                # 合并点云，始终使用第一个网格的中心点作为参考点
                self.merge_two_plys(
                    output_ply,      # 当前合并结果
                    current_ply,     # 要合并的新点云
                    output_ply,      # 覆盖原有的合并结果
                    ref_center,      # 参考网格中心点（始终不变）
                    current_center   # 当前网格中心点
                )

            self.logger.info(f"PLY点云合并完成，最终输出文件: {output_ply}")

        except Exception as e:
            self.logger.error(f"PLY点云合并过程中发生错误: {str(e)}", exc_info=True)
            raise


if __name__ == "__main__":
    from utils.logger import setup_logger
    import open3d as o3d

    # 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
    grid_points = {
        0: [],  # 不再需要GPS点信息
        1: []
    }

    # 创建MergePly实例并执行合并
    merge_ply = MergePly(output_dir)
    merge_ply.merge_grid_ply(grid_points)