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Description
I have a few images I'm trying to read where load()
returns an array of all Grey{N0f16}(1.0)
, but this doesn't seem to be the true file contents when read with other tools. An example image is here: https://www.dropbox.com/s/lelfacepaxvaf6w/testcase.tif?dl=0
julia> using Images
julia> img = load("testcase.tif")
256×256 Array{Gray{N0f16},2}:
Gray{N0f16}(1.0) Gray{N0f16}(1.0) … Gray{N0f16}(1.0) Gray{N0f16}(1.0)
Gray{N0f16}(1.0) Gray{N0f16}(1.0) Gray{N0f16}(1.0) Gray{N0f16}(1.0)
julia> all(img .== Gray{N0f16}(1.0))
true
julia> using ImageMagick
julia> ImageMagick.libversion
v"6.8.9"
julia> Pkg.installed("ImageMagick")
v"0.4.0"
julia> versioninfo()
Julia Version 0.6.0-rc2.0
Commit 68e911b (2017-05-18 02:31 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Core(TM) i7-4500U CPU @ 1.80GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)
In Python, I can load the same image with cv2
, and get the correct shape of (256, 256, 4)
and non-constant data:
In [1]: import cv2
In [4]: img = cv2.imread("testcase.tif", -1)
In [5]: img.shape
Out[5]: (256, 256, 4)
In [6]: img[0:3, 0:3]
Out[6]:
array([[[12181, 13224, 13839, 9250],
[12251, 13337, 13836, 9279],
[12312, 13407, 13951, 9316]],
[[12033, 13128, 13720, 9271],
[12060, 13093, 13628, 9350],
[11967, 13088, 13505, 9414]],
[[11627, 12659, 13098, 9057],
[11770, 12823, 13210, 9163],
[11796, 12774, 13330, 9244]]], dtype=uint16)
I suppose this might be a libmagickwand problem, but any advice would be appreciated!
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