Multidimensional images #4
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timholy
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Sep 12, 2021
This is a proposed redesign that may be a bit more natural to work
with from the Julia perspective. The principal difference are:
- Support eltypes of the form `SVector{T,N}`: this makes this wrapper
behave more like OpenCV itself, which (unlike Python) does not use
an array dimension to encode the number of color channels.
- Support `N0f8` and `N0f16`, JuliaImages preferred interpretation of
8- and 16-bit unsigned intensity data. (See FixedPointNumbers and
https://juliaimages.org/latest/tutorials/arrays_colors/#fixedpoint;
interestingly, OpenCV itself suffers from the exact same problem, see
https://stackoverflow.com/questions/14539498/change-type-of-mat-object-from-cv-32f-to-cv-8u
for an example of a user who got bit by the "divide by 255" rule.)
- Work towards support for multidimensional arrays (see
JuliaImages/OpenCV.jl#4)
- Validate arguments more carefully and improve correctness in a few
key places
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rakeshksr
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Matis described as a "multidimensional array" and has a constructor allowing you to construct one. Is there any benefit in generalizing the wrapper to allow more than 2 "spatial" dimensions?The text was updated successfully, but these errors were encountered: