[compat] ImageCore 0.10 (#164)

Also drops the direct dependence on ColorVectorSpace,
since that's loaded by ImageCore (in recent versions).

Also, a nice change is that inference got better on Julia 1.10

.github/workflows/UnitTest.yml

@@ -14,7 +14,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        julia-version: ['1.0', '1', 'nightly']
+        julia-version: ['1.6', '1', 'nightly']
         os: [ubuntu-latest]
         arch: [x64]
         include:
@@ -39,7 +39,7 @@ jobs:
         env:
           cache-name: cache-artifacts
         with:
-          path: ~/.julia/artifacts 
+          path: ~/.julia/artifacts
           key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
           restore-keys: |
             ${{ runner.os }}-test-${{ env.cache-name }}-

Project.toml

@@ -1,10 +1,9 @@
 name = "ImageTransformations"
 uuid = "02fcd773-0e25-5acc-982a-7f6622650795"
-version = "0.9.5"
+version = "0.10.0"
 
 [deps]
 AxisAlgorithms = "13072b0f-2c55-5437-9ae7-d433b7a33950"
-ColorVectorSpace = "c3611d14-8923-5661-9e6a-0046d554d3a4"
 CoordinateTransformations = "150eb455-5306-5404-9cee-2592286d6298"
 ImageBase = "c817782e-172a-44cc-b673-b171935fbb9e"
 ImageCore = "a09fc81d-aa75-5fe9-8630-4744c3626534"
@@ -15,15 +14,15 @@ StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 
 [compat]
 AxisAlgorithms = "0.3, 1.0"
-ColorVectorSpace = "0.6, 0.7, 0.8, 0.9"
 CoordinateTransformations = "0.5, 0.6"
 ImageBase = "0.1.1"
-ImageCore = "0.8.1, 0.9"
+ImageCore = "0.9, 0.10"
 Interpolations = "0.13.4, 0.14"
 OffsetArrays = "0.10, 0.11, 1.0.1"
 Rotations = "0.12, 0.13, 1.0"
 StaticArrays = "0.10, 0.11, 0.12, 1.0"
-julia = "1"
+Tau = "1"
+julia = "1.6"
 
 [extras]
 EndpointRanges = "340492b5-2a47-5f55-813d-aca7ddf97656"

src/ImageTransformations.jl

@@ -3,7 +3,7 @@
 This package provides support for image resizing, image rotation, and other spatial transformations of arrays.
 
 - `WarpedView`: Create a view of `img` that lazily transforms any given index `I` passed to `wv[I]` so that `wv[I] == img[tform(I)]`.
-- `warp`: An eager evaluation variant of `WarpedView`. Transform the coordinates of `img`, returning a new `imgw` satisfying `imgw[I] = img[tform(I)]`. 
+- `warp`: An eager evaluation variant of `WarpedView`. Transform the coordinates of `img`, returning a new `imgw` satisfying `imgw[I] = img[tform(I)]`.
 - `InvWarpedView`: Create a view of `img` that lazily transforms any given index `I` passed to `wv[I]` so that `wv[I] == img[inv(tinv)(I)]`.
 - `imresize`: Upsample/downsample the image `img` to a given size `sz` or axes `inds` using interpolations.
 - `restrict`: A much more efficient version of `imresize` that two-folds/down-samples image to approximate 1/2 size. (This is now provided by `ImageBase.restrict`)
@@ -43,7 +43,6 @@ using Rotations
 using StaticArrays
 using Interpolations, AxisAlgorithms
 using OffsetArrays
-using ColorVectorSpace
 
 using Base: tail, Indices
 

test/reference/invwarpedview_cameraman_rotate_r22deg.txt

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