277 lines
9.5 KiB
Python
277 lines
9.5 KiB
Python
from osgeo import ogr
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import os
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import argparse
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from osgeo import ogr, gdal
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import os
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import argparse
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import numpy as np
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from scipy.spatial import KDTree
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from tools.DotaOperator import DotaObj,readDotaFile,writerDotaFile,createDota
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from glob import glob
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from pathlib import Path
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import shutil
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def existOrCreate(dirpath):
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if not os.path.exists(dirpath):
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os.makedirs(dirpath)
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def find_tif_files_pathlib(directory):
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path = Path(directory)
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# 使用rglob递归匹配所有.tif和.tiff文件
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tif_files = list(path.rglob('*.tiff'))
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# 将Path对象转换为字符串路径
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return [str(file) for file in tif_files]
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def find_srcPath(srcFolder):
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root_path = Path(srcFolder)
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target_path = [folderpath for folderpath in root_path.rglob("*") if folderpath.is_dir() and folderpath.name=="0-原图"]
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tiff_files = []
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for folderpath in target_path:
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tiff_files=tiff_files+find_tif_files_pathlib(folderpath)
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tiff_dict={}
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for filepath in tiff_files:
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rootname=Path(filepath).stem
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tiff_dict[rootname]=filepath
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return tiff_dict
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def read_tifInfo(path):
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dataset = gdal.Open(path) # 打开TIF文件
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if dataset is None:
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print("无法打开文件,读取文件信息")
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return None, None, None
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cols = dataset.RasterXSize # 图像宽度
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rows = dataset.RasterYSize # 图像高度
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bands = dataset.RasterCount
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im_proj = dataset.GetProjection() # 获取投影信息
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im_Geotrans = dataset.GetGeoTransform() # 获取仿射变换信息
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# im_data = dataset.ReadAsArray(0, 0, cols, rows) # 读取栅格数据为NumPy数组
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print("行数：", rows)
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print("列数：", cols)
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print("波段：", bands)
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x1=im_Geotrans[0]+im_Geotrans[1]*0
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x2=im_Geotrans[0]+im_Geotrans[1]*cols
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y1=im_Geotrans[3]+im_Geotrans[5]*0
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y2=im_Geotrans[3]+im_Geotrans[5]*rows
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xmin=min(x1,x2)
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xmax=max(x1,x2)
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ymin=min(y1,y2)
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ymax=max(y1,y2)
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geoExtend=[xmin,ymin,xmax,ymax]
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del dataset # 关闭数据集
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return im_proj, im_Geotrans,geoExtend
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def getshapefileInfo(shp_path):
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"""
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将Shapefile转换为DOTA格式
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:param shp_path: Shapefile文件路径
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"""
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geom_points=[]
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print("shapefile: ",shp_path)
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# 注册所有驱动
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ogr.RegisterAll()
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# 打开Shapefile文件
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driver = ogr.GetDriverByName('ESRI Shapefile')
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datasource = driver.Open(shp_path, 0)
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if datasource is None:
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print("无法打开Shapefile文件")
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return
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print("layer count: ",datasource.GetLayerCount())
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for layerid in range(datasource.GetLayerCount()):
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print("layer id: ",layerid)
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# 获取图层
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layer = datasource.GetLayer(layerid)
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layer_defn=layer.GetLayerDefn()
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field_count=layer_defn.GetFieldCount()
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print("field_count:", field_count)
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for i in range (field_count):
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field_defn=layer_defn.GetFieldDefn(i)
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field_name=field_defn.GetName()
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field_type=field_defn.GetType()
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field_type_name=field_defn.GetFieldTypeName(field_type)
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print("field_name:", field_name, field_type_name, field_type_name)
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for feature in layer:
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geom = feature.GetGeometryRef()
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if geom.GetGeometryName() == 'POINT':
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x=geom.GetX()
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y=geom.GetY()
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geom_points.append([x,y])
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return np.array(geom_points)
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def getTiffsInfo(tiffnames,folderpath):
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"""
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获取所有影像的几何信息
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Args:
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tiff_paths: tiff列表
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Returns:
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"""
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tiffdict={}
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for tiff_name in tiffnames:
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if tiff_name.endswith(".tiff"):
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tiff_path=os.path.join(folderpath,tiff_name)
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im_proj, im_Geotrans, geoExtend=read_tifInfo(tiff_path)
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tiffdict[tiff_name]={"geoExtend":geoExtend,"geoTrans":im_Geotrans,"imProj":im_proj}
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return tiffdict
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pass
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def distanceCls(tiffinfos,infolderPath,shipPortTree):
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newlabelobjsresult={}
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for tiffname in tiffinfos:
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labelname=tiffname.replace(".tiff",".txt")
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labelpath=os.path.join(infolderPath,labelname)
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im_geptrans=tiffinfos[tiffname]["geoTrans"]
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# 逐一处理
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labelobjs=readDotaFile(labelpath)
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newlabelobjs=[]
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for labelobj in labelobjs:
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try:
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labelcenterP=labelobj.getCenter()
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lon=im_geptrans[0]+im_geptrans[1]*labelcenterP[0]+im_geptrans[1]*labelcenterP[1]
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lat=im_geptrans[3]+im_geptrans[5]*labelcenterP[0]+im_geptrans[5]*labelcenterP[1]
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# 常规
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MLC_distance,index=shipPortTree["MLC"].query([lon,lat],k=1)
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JLC_distance,index=shipPortTree["JLC"].query([lon,lat],k=1)
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# JMLC_distance,index=shipPortTree["JMLC"].query([lon,lat],k=1)
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# 处理-180
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MLC_distance_180,index_180=shipPortTree["MLC"].query([lon-360,lat],k=1)
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JLC_distance_180,index_180=shipPortTree["JLC"].query([lon-360,lat],k=1)
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# JMLC_distance_180,index_180=shipPortTree["JMLC"].query([lon-360,lat],k=1)
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# 处理180
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MLC_distance180,index180=shipPortTree["MLC"].query([lon+360,lat],k=1)
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JLC_distance180,index180=shipPortTree["JLC"].query([lon+360,lat],k=1)
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# JMLC_distance180,index180=shipPortTree["JMLC"].query([lon+360,lat],k=1)
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# 取距离最近的值
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distanceArr=[MLC_distance,JLC_distance,MLC_distance180,JLC_distance180,MLC_distance180,JLC_distance180]
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minidx=np.argmin(distanceArr)
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clsname="JLC"
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if minidx %2 ==0 :
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clsname="MLC"
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else:
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clsname="JLC"
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mindistance = distanceArr[minidx]
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if mindistance * 110000 < 500 and clsname == "JLC": # 这种在范围外认为是失效的
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clsname = "MLC"
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labelobj.clsname = clsname
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newlabelobjs.append(
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{"obj":labelobj,"distance":distanceArr[minidx]*110000,"clsname":clsname}
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)
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except Exception as e:
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print(e)
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# 生成新的txt
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newlabelobjsresult[tiffname]=newlabelobjs
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return newlabelobjsresult
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def updateLabelFile(newOutputFolder,infolderPath,updatelabels):
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Jfolderpath=os.path.join(newOutputFolder,"J")
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Mfolderpath=os.path.join(newOutputFolder,"M")
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if not os.path.exists(Jfolderpath):
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os.makedirs(Jfolderpath)
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if not os.path.exists(Mfolderpath):
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os.makedirs(Mfolderpath)
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for tiffname in updatelabels:
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newlabelobjs=updatelabels[tiffname]
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updatelabelfiles=[ obj["obj"] for obj in newlabelobjs]
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JM=set([ obj["clsname"] for obj in newlabelobjs])
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print(tiffname,"类别: ",JM)
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newlabelname=tiffname.replace(".tiff",".txt")
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targetFolderPath=Mfolderpath
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if "MLC" in JM:
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targetFolderPath=Mfolderpath
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elif "JLC" in JM:
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targetFolderPath=Jfolderpath
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newlabelpath=os.path.join(targetFolderPath,newlabelname)
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newtiffpath=os.path.join(targetFolderPath,tiffname)
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writerDotaFile(updatelabelfiles,newlabelpath)
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shutil.copyfile(os.path.join(infolderPath,tiffname),newtiffpath)
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print("copy : ", tiffname)
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pass
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def SpliteProcess(srcfolderpath,infolderpath,outfolderpath,MLCPath,JLCPath,JMLCPath):
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shipPort={
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"MLC":getshapefileInfo(MLCPath),
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"JLC":getshapefileInfo(JLCPath),
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# "JMLC":getshapefileInfo(JMLCPath), # 舰船不区分 居民一体
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}
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shipPortTree={
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"MLC":KDTree(shipPort["MLC"]),
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"JLC":KDTree(shipPort["JLC"]),
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# "JMLC":KDTree(shipPort["JMLC"]),
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}
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# tiffds=find_srcPath(srcfolderpath)
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tifflist=os.listdir(infolderpath)
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tiffinfos=getTiffsInfo(tifflist,infolderpath)
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updatelabels=distanceCls(tiffinfos,infolderpath,shipPortTree)
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# 更新日志
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updateLabelFile(outfolderpath, infolderpath, updatelabels)
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return True
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pass
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def getParams():
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parser = argparse.ArgumentParser()
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parser.add_argument('-s','--srcfolder',type=str,default=r'R:\TYSAR-德清院\TYSAR-条带模式(SM)\港口', help='输入shapefile文件')
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parser.add_argument('-i','--intiffolder',type=str,default=r'D:\TYSAR-德清院\切片结果整理', help='输入shapefile文件')
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parser.add_argument('-o', '--outfolder',type=str,default=r'D:\TYSAR-德清院\军民区分结果', help='输出geojson文件')
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parser.add_argument('-m', '--mLC',type=str,help=r'MLC', default=r'D:\TYSAR-德清院\目标点位信息更新\0828目标点位\港口（民船）.shp')
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parser.add_argument('-j', '--jLC',type=str,help=r'JLC' ,default=r'D:\TYSAR-德清院\目标点位信息更新\0828目标点位\军港.shp')
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parser.add_argument('-jm', '--jmLC',type=str,help=r'MJLC', default=r'D:\TYSAR-德清院\目标点位信息更新\0828目标点位\军民一体港口.shp')
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args = parser.parse_args()
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return args
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if __name__ == '__main__':
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try:
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parser = getParams()
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srcfolder=parser.srcfolder
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infolder=parser.intiffolder
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outfolder=parser.outfolder
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mLCPath=parser.mLC
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jLCPath=parser.jLC
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jmLCPath=parser.jmLC
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print('srcfolder=',srcfolder)
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print('infolder=',infolder)
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print('outfolder=',outfolder)
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print('mLCPath=',mLCPath)
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print('jLCPath=',jLCPath)
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print('jmLCPath=',jmLCPath)
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SpliteProcess(srcfolder,infolder,outfolder,mLCPath,jLCPath,jmLCPath)
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exit(2)
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except Exception as e:
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print(e)
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exit(3)
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