错误消息Warning 1: TIFFReadDirectory:Sum of Photometric type-related color channels and ExtraSamples doesn't match SamplesPerPixel. Defining non-color channels as ExtraSamples.一直存在问题--当我打开带有错误tiff标记的.tiff文件时,就会发生错误消息,在我的示例中,这些标记:
而tiff是一个带有一个额外(掩码)的RGB图像。在打开之前指定标签在这里是没有用的,因为我在实践中不知道乐队。我只是想压制一下这个警告,但没有成功。我已经尝试了以下几种方法:
我就是这么做来得到警告的:
tiff = rasterio.open(path)
img = rast.read()如果你想自己尝试一下,你可以在Google中找到一个例子蒂夫。
有人知道如何一般地压制警告吗?
编辑:这是关于我的rasterio版本pip show -v rasterio的信息
Name: rasterio
Version: 1.2.10
Summary: Fast and direct raster I/O for use with Numpy and SciPy
Home-page: https://github.com/mapbox/rasterio
Author: Sean Gillies
Author-email: sean@mapbox.com
License: BSD
Location: /home/david/miniconda3/lib/python3.9/site-packages
Requires: click-plugins, numpy, snuggs, cligj, click, setuptools, affine, certifi, attrs
Required-by: rioxarray
Metadata-Version: 2.1
Installer: pip
Classifiers:
Development Status :: 5 - Production/Stable
Intended Audience :: Developers
Intended Audience :: Information Technology
Intended Audience :: Science/Research
License :: OSI Approved :: BSD License
Programming Language :: C
Programming Language :: Cython
Programming Language :: Python :: 3.6
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3
Topic :: Multimedia :: Graphics :: Graphics Conversion
Topic :: Scientific/Engineering :: GIS
Entry-points:
[console_scripts]
rio=rasterio.rio.main:main_group
[rasterio.rio_commands]
blocks=rasterio.rio.blocks:blocks
bounds=rasterio.rio.bounds:bounds
calc=rasterio.rio.calc:calc
clip=rasterio.rio.clip:clip
convert=rasterio.rio.convert:convert
edit-info=rasterio.rio.edit_info:edit
env=rasterio.rio.env:env
gcps=rasterio.rio.gcps:gcps
info=rasterio.rio.info:info
insp=rasterio.rio.insp:insp
mask=rasterio.rio.mask:mask
merge=rasterio.rio.merge:merge
overview=rasterio.rio.overview:overview
rasterize=rasterio.rio.rasterize:rasterize
rm=rasterio.rio.rm:rm
sample=rasterio.rio.sample:sample
shapes=rasterio.rio.shapes:shapes
stack=rasterio.rio.stack:stack
transform=rasterio.rio.transform:transform
warp=rasterio.rio.warp:warp
Note: you may need to restart the kernel to use updated packages.发布于 2022-10-20 07:48:06
最新答案
经过大量搜索,并试图使用TIFFSetWarningHandler()描述的这里,发现rasterio使用了自己的、内置的、精简的gdal版本--除非您是从源代码构建的。这就产生了以下情况。
方法1
告诉rasterio的GDAL安静警告:
#!/usr/bin/env python3
# Get cut-down GDAL that rasterio uses
from osgeo import gdal
# ... and suppress errors
gdal.PushErrorHandler('CPLQuietErrorHandler')
import rasterio
# Open TIFF and read it
tiff = rasterio.open('original.tiff')
img = tiff.read()
print(img.shape)样本输出
(4, 512, 512) 我发现了一些您可能想要参考的其他内容-- 这里。
方法2-使用tifffile
另一种选择可能是使用tifffile,因为它不会为您的文件发出警告:
from tifffile import imread
img = imread('original.tiff')
print(img.shape) # prints (512, 512, 4)这是简单而有效的,但可能缺乏完整的GeoTIFF阅读器的一些功能。
方法3-重写libtiff警告处理程序
这使用ctypes调用DLL/共享对象库,并覆盖库的警告处理程序:
import ctypes
from ctypes.util import find_library
# Find the path to the library we want to modify
thePath = find_library('tiff') # try "gdal" instead of "tiff" too
print(thePath)
# Get handle to it
theLib = ctypes.CDLL(thePath)
theLib.TIFFSetWarningHandler.argtypes = [ctypes.c_void_p]
theLib.TIFFSetWarningHandler.restype = ctypes.c_void_p
theLib.TIFFSetWarningHandler(None)
import rasterio
# Open TIFF and read it
tiff = rasterio.open('original.tiff')
img = tiff.read()
print(img.shape)原始答案
您的TIFF是不兼容的,因为它是RGBA,但是将“光度解释”设置为MIN_IS_BLACK,这意味着它是灰度或双级别的。
与其消除警告,更好的选择IMHO是通过将“光度解释”设置为UNASSOCIATED_ALPHA. RGB并将额外示例的类型设置为来纠正TIFF。
您可以使用tiffset ( libtiff附带的)来实现这一点。
tiffset -s 262 2 11_369_744_2022-10-18.tiff # Photometric = RGB
tiffset -s 338 1 2 11_369_744_2022-10-18.tiff # Extra sample is UNASSOCIATED_ALPHALibtiff现在在加载图像时不再生成错误,它在macOS 预览上以RGB颜色显示。
在原始映像上运行tiffinfo提供:
TIFFReadDirectory: Warning, Sum of Photometric type-related color channels and ExtraSamples doesn't match SamplesPerPixel. Defining non-color channels as ExtraSamples..
=== TIFF directory 0 ===
TIFF Directory at offset 0x8 (8)
Image Width: 512 Image Length: 512
Resolution: 1, 1 (unitless)
Bits/Sample: 8
Compression Scheme: Deflate
Photometric Interpretation: min-is-black
Samples/Pixel: 4
Rows/Strip: 8
Planar Configuration: single image plane
Tag 33550: 76.437028,76.437028,0.000000
Tag 33922: 0.000000,0.000000,0.000000,9079495.967826,5596413.462927,0.000000
Tag 34735: 1,1,0,12,1024,0,1,1,1025,0,1,1,2050,0,1,1,1026,34737,37,0,2049,34737,6,38,2054,0,1,9102,2056,0,1,1,2057,34736,1,0,2058,34736,1,1,2061,34736,1,2,3072,0,1,3857,3076,0,1,9001
Tag 34736: 6378137.000000,6378137.000000,0.000000
Tag 34737: Popular Visualisation Pseudo Mercator|WGS 84|在带有校正标签的图像上:
=== TIFF directory 0 ===
TIFF Directory at offset 0x99858 (628824)
Image Width: 512 Image Length: 512
Resolution: 1, 1 (unitless)
Bits/Sample: 8
Compression Scheme: Deflate
Photometric Interpretation: RGB color
Extra Samples: 1<unassoc-alpha>
Samples/Pixel: 4
Rows/Strip: 8
Planar Configuration: single image plane
Tag 33550: 76.437028,76.437028,0.000000
Tag 33922: 0.000000,0.000000,0.000000,9079495.967826,5596413.462927,0.000000
Tag 34735: 1,1,0,12,1024,0,1,1,1025,0,1,1,2050,0,1,1,1026,34737,37,0,2049,34737,6,38,2054,0,1,9102,2056,0,1,1,2057,34736,1,0,2058,34736,1,1,2061,34736,1,2,3072,0,1,3857,3076,0,1,9001
Tag 34736: 6378137.000000,6378137.000000,0.000000
Tag 34737: Popular Visualisation Pseudo Mercator|WGS 84|https://stackoverflow.com/questions/74089170
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