问题描述
我正在使用下面给出的代码 snap 并且它的工作没有错误,但转换后的文件没有 .png 扩展名,因为我在“OutputFormat”中给出了 png。 我正在 Colab 中运行它,并且还附加了输出。
from osgeo import gdal
import numpy as np
import os
import subprocess
def _16bit_to_8Bit(inputRaster,outputRaster,outputPixType='Byte',outputFormat='png',percentiles=[2,98]):
#Convert 16bit image to 8bit
#Source: Medium.com,'Creating Training Datasets for the SpaceNet Road Detection and Routing
#Challenge' by Adam Van Etten and Jake Shermeyer
srcRaster = gdal.Open(inputRaster)
cmd = ['gdal_translate','-ot',outputPixType,'-of',outputFormat]
# iterate through bands
for bandId in range(srcRaster.RasterCount):
bandId = bandId+1
band = srcRaster.GetRasterBand(bandId)
bmin = band.GetMinimum()
bmax = band.GetMaximum()
# if not exist minimum and maximum values
if bmin is None or bmax is None:
[enter image description here][1](bmin,bmax) = band.ComputerasterMinMax(1)
# else,rescale
band_arr_tmp = band.ReadAsArray()
bmin = np.percentile(band_arr_tmp.flatten(),percentiles[0])
bmax= np.percentile(band_arr_tmp.flatten(),percentiles[1])
cmd.append('-scale_{}'.format(bandId))
cmd.append('{}'.format(bmin))
cmd.append('{}'.format(bmax))
cmd.append('{}'.format(0))
cmd.append('{}'.format(255))
cmd.append(inputRaster)
cmd.append(outputRaster)
print("Conversin command:",cmd)
subprocess.call(cmd)
path = "/content/drive/MyDrive/Spacenet_data/RGB_Pan/"
files = os.listdir(path)
for file in files:
resimPath = path+file
dstPath = "/content/drive/MyDrive/Spacenet_data/"
dstPath = dstPath+file
_16bit_to_8Bit(resimPath,dstPath)
Conversin command: ['gdal_translate','Byte','png','-scale_1','149.0','863.0','0','255','-scale_2','244.0','823.0200000000186','-scale_3','243.0','568.0','/content/drive/MyDrive/Spacenet_data/RGB_Pan/img0.tif','/content/drive/MyDrive/Spacenet_data/img0.tif']
解决方法
进行以下更改即可完成。
from osgeo import gdal
import numpy as np
import os
import subprocess
def _16bit_to_8Bit(inputRaster,outputRaster,outputPixType='Byte',outputFormat='png',percentiles=[2,98]):
srcRaster = gdal.Open(inputRaster)
cmd = ['gdal_translate','-ot',outputPixType,'-of',outputFormat]
for bandId in range(srcRaster.RasterCount):
bandId = bandId+1
band = srcRaster.GetRasterBand(bandId)
bmin = band.GetMinimum()
bmax = band.GetMaximum()
# if not exist minimum and maximum values
if bmin is None or bmax is None:
(bmin,bmax) = band.ComputeRasterMinMax(1)
# else,rescale
band_arr_tmp = band.ReadAsArray()
bmin = np.percentile(band_arr_tmp.flatten(),percentiles[0])
bmax= np.percentile(band_arr_tmp.flatten(),percentiles[1])
cmd.append('-scale_{}'.format(bandId))
cmd.append('{}'.format(bmin))
cmd.append('{}'.format(bmax))
cmd.append('{}'.format(0))
cmd.append('{}'.format(255))
cmd.append(inputRaster)
cmd.append(outputRaster)
print("Conversin command:",cmd)
subprocess.call(cmd)
path = "/content/drive/MyDrive/Spacenet_data/RGB_Pan/"
files = os.listdir(path)
for file in files:
resimPath = path+file
dstPath = "/content/drive/MyDrive/Spacenet_data/"
dstPath = dstPath+file[:-3]+"png"
_16bit_to_8Bit(resimPath,dstPath)