JuliaImages / JuliaImages/juliaimages.github.io

Array casting from channelview question

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question
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Julia
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Description

Hello,

I am not sure about how to get an Array containing the values resulting from a convolution to an image.

This is what I tried:

using Images
using TestImages
img = testimage("lena");
K =  [[1,1,1]  [0,0,0]  [-1,-1,-1]];
kernel = centered(K)
border_decision = Inner()
result_conv     = imfilter(img, kernel, border_decision)
result_conv_arr = size(Array(channelview(result_conv)))

prints

BoundsError: attempt to access 3×254×254 Array{Float32,3} at index [Base.IdentityUnitRange(1:3), Base.IdentityUnitRange(2:255), Base.IdentityUnitRange(2:255)]

Which I don't quite understand.

Nevertheless, when working with Pad() (or nothing which defaults to Pad) then the API behaves as I would expect:

border_decision = Pad()
result_conv     = imfilter(img, kernel, border_decision)
result_conv_arr = size(Array(channelview(result_conv)))

Prints

(3, 256, 256)
  • How can I get an Array in the first case?

  • Is there a method to retrieve the Array containing the data that works no matter how the offsetarray is?

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the imfilter, channelview, Inner(), and Pad() examples in the issue, and reproduce the BoundsError using the lena test image. Document how the result differs for offset arrays and what users should do to obtain an Array regardless of its offsets; done means both questions have clear guidance.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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