75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
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 |