Hey guys, I use the NumPy per PyCall to get screenshots of my desktop.
I get these images back as 1440×3440×3 Array{UInt8, 3}
Discord user borodi#9175 already shared a function of him that converts this array to a BGR.
opencvtojulia(abc) = BGR.(reinterpret.(N0f8,abc[:,:,3]),reinterpret.(N0f8,abc[:,:,2]),reinterpret.(N0f8,abc[:,:,1]))
Because it changes a lot of colors to the wrong ones i have to fix something in it.
Has somebody an idea how to get RGB images from this function or what else can get me RGB?
Thanks for your help!
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The precise steps may depend on your data (e.g., RGB vs BGR; Julia supports both), but this demo may get you started:
julia> using PyCall, ImageCore, ImageView
julia> si = pyimport("skimage.data")
PyObject <module 'skimage.data' from '/usr/lib/python3/dist-packages/skimage/data/__init__.py'>
julia> dat = pycall(si.rocket, PyArray);
julia> img = reinterpretc(RGB{N0f8}, PermutedDimsArray(dat, (3, 1, 2)));
julia> imshow(img)
ImageCore has an extensive set of composable no-copy operations for reinterpreting the meaning of raw data; with them, you should be able to do anything you want. Please see the docs at ImageCore.jl · ImageCore
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Wow! Thanks what a great solution!
reinterpretc(RGB{N0f8}, PermutedDimsArray(dat, (3, 1, 2))); solves it alone!
Many thanks!
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