docker处理转换坐标

This commit is contained in:
cs 2025-06-24 16:25:56 +08:00
parent 1685f8c951
commit 6fdc73dba9
8 changed files with 111 additions and 48 deletions

8
.idea/.gitignore generated vendored Normal file
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# Editor-based HTTP Client requests
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import logging
import os
from typing import Dict
import docker
import rasterio
from rasterio.mask import mask
from rasterio.transform import Affine, rowcol
@ -8,14 +10,12 @@ import fiona
from edt import edt
import numpy as np
import math
from post_pro.trans_orthophoto import TransOrthophoto
class MergeTif:
def __init__(self, output_dir: str):
self.output_dir = output_dir
self.logger = logging.getLogger('UAV_Preprocess.MergeTif')
self.trans_orthophoto = TransOrthophoto()
def merge_orthophoto(self, grid_lt):
"""合并网格的正射影像"""
@ -55,13 +55,40 @@ class MergeTif:
self.output_dir, "orthophoto.tif"), orthophoto_vars)
self.logger.info("所有产品合并完成")
self.trans_orthophoto.trans_to_epsg4326(os.path.join(self.output_dir, "orthophoto.tif"), os.path.join(
self.output_dir, "orthophoto_epsg4326.tif"))
# self.trans_orthophoto.trans_to_epsg4326(os.path.join(self.output_dir, "orthophoto.tif"), os.path.join(
# self.output_dir, "orthophoto_epsg4326.tif"))
self.process_trans2photo4326()
except Exception as e:
self.logger.error(f"产品合并过程中发生错误: {str(e)}", exc_info=True)
raise
def process_trans2photo4326(self):
success = True
try:
client = docker.from_env()
container = client.containers.create(
image='trans_docker',
volumes={
f"{self.output_dir}": {'bind': '/temp', 'mode': 'rw'}
},
)
container.start()
container.wait()
logs = container.logs(tail=50).decode('utf-8')
print(logs)
except Exception as e:
print(f"转换失败, 原因: {e}")
success = False
finally:
try:
container.remove(force=True)
except Exception:
pass # 避免因remove失败导致程序崩溃
if success:
print("正射影像转换完成")
def compute_mask_raster(self, input_raster, vector_mask, output_raster, blend_distance=20, only_max_coords_feature=False):
if not os.path.exists(input_raster):
print("Cannot mask raster, %s does not exist" % input_raster)

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import logging
import rasterio
from rasterio.warp import calculate_default_transform, reproject, Resampling
class TransOrthophoto:
def __init__(self):
self.logger = logging.getLogger('UAV_Preprocess.TransOrthophoto')
def trans_to_epsg4326(self, ori_orthophoto_path: str, output_path: str):
# 打开原始文件
with rasterio.open(ori_orthophoto_path) as src:
# 定义目标 CRS
dst_crs = 'EPSG:4326'
# 计算目标变换和元数据
transform, width, height = calculate_default_transform(
src.crs, dst_crs, src.width, src.height, *src.bounds)
kwargs = src.meta.copy()
kwargs.update({
'crs': dst_crs,
'transform': transform,
'width': width,
'height': height
})
# 创建重投影后的文件
with rasterio.open(output_path, 'w', **kwargs) as dst:
for i in range(1, src.count + 1):
reproject(
source=rasterio.band(src, i),
destination=rasterio.band(dst, i),
src_transform=src.transform,
src_crs=src.crs,
dst_transform=transform,
dst_crs=dst_crs,
resampling=Resampling.nearest
)
self.logger.info(f"文件已成功重投影")
if __name__ == "__main__":
trans = TransOrthophoto()
trans.trans_to_epsg4326(r"G:\ODM_output\test\orthophoto.tif", r"G:\ODM_output\test\orthophoto_epsg4326.tif")