I suppose alike what we have done for image conversion in case of grayscale and binary (cd<3), for coloured images also:
"# -1 to have 0-indexing per C++"
" " "if (cd < 3) # grayscale or binary
for j = 1:Base.size(img,2) # index row first (Mat is row-major order)
for k =1:Base.size(img,1) # index column second
slow algorithm - will try to use pointer method (C++)!
pixset(mat, k-1, j-1, float(img[k,j,1].i))
end
end
end
" " "
Although I haven't run this yet since I was looking through the code from another pc. May be I am misinterpreting the situation.
I suppose alike what we have done for image conversion in case of grayscale and binary (cd<3), for coloured images also: "# -1 to have 0-indexing per C++"
" " "if (cd < 3) # grayscale or binary for j = 1:Base.size(img,2) # index row first (Mat is row-major order) for k =1:Base.size(img,1) # index column second
slow algorithm - will try to use pointer method (C++)!
" " " Although I haven't run this yet since I was looking through the code from another pc. May be I am misinterpreting the situation.
Thank you.