import os import logging import docker from typing import Tuple class ODMProcessMonitor: """ODM进程监控器""" def __init__(self, max_retries: int = 3, mode: str = "快拼模式"): self.max_retries = max_retries self.logger = logging.getLogger('UAV_Preprocess.ODMMonitor') self.mode = mode self.client = docker.from_env() def _check_success(self, grid_dir: str) -> bool: """检查ODM是否执行成功""" success_markers = ['odm_orthophoto', 'odm_georeferencing'] if self.mode != "快拼模式": success_markers.append('odm_texturing') return all(os.path.exists(os.path.join(grid_dir, 'project', marker)) for marker in success_markers) def run_odm_with_monitor(self, grid_dir: str, grid_idx: int, fast_mode: bool = True) -> Tuple[bool, str]: """运行ODM容器""" try: self.logger.info(f"开始处理网格 {grid_idx + 1}") # 准备容器配置 volumes = { grid_dir: {'bind': '/datasets', 'mode': 'rw'} } # 准备命令参数 command = [ "--project-path", "/datasets", "project", "--max-concurrency", "10", "--force-gps", "--rerun-all" ] if fast_mode: command.extend([ "--feature-quality", "lowest", "--orthophoto-resolution", "8", "--fast-orthophoto", "--skip-3dmodel" ]) # 运行容器并等待完成 container = self.client.containers.run( "opendronemap/odm", command=command, volumes=volumes, detach=True, remove=True, environment={"PYTHONUNBUFFERED": "1"}, mem_limit="0", # 不限制内存 cpu_count=0, # 使用所有CPU network_mode="host" # 使用主机网络模式 ) # 等待容器完成并获取状态码 result = container.wait() # 检查是否成功完成 if result['StatusCode'] == 0 and self._check_success(grid_dir): self.logger.info(f"网格 {grid_idx + 1} 处理成功") return True, "" return False, f"网格 {grid_idx + 1} 处理失败" except Exception as e: error_msg = f"执行异常: {str(e)}" self.logger.error(error_msg) return False, error_msg