Native Windows ARM64 builds

.github/workflows/lint-and-build.yml

@@ -31,6 +31,10 @@ env:
   GITHUB_HEAD_REPOSITORY: ${{ github.event.pull_request.head.repo.full_name }}
   GITHUB_EXCLUDE_BUILD_NUMBER: ${{ inputs.excludeBuildNumber }}
   UV_NO_SYNC: true # Avoid accidentally pulling in dependency-groups with uv run
+  # https://github.com/opencv/opencv-python#source-distributions
+  # Allows building OpenCV on Windows ARM64
+  # https://github.com/opencv/opencv-python/issues/1092#issuecomment-2862538656
+  CMAKE_ARGS: "-DBUILD_opencv_dnn=OFF -DENABLE_NEON=OFF"
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
@@ -75,14 +79,13 @@ jobs:
       fail-fast: false
       # Only the Python version we plan on shipping matters.
       matrix:
-        # OpenCV doesn't support windows-11-arm yet https://github.com/opencv/opencv-python/issues/806
-        os: [windows-latest, ubuntu-22.04, ubuntu-22.04-arm]
+        os: [windows-latest, windows-11-arm, ubuntu-22.04, ubuntu-22.04-arm]
         python-version: ["3.13"]
     steps:
       - uses: actions/checkout@v4
       # region pyinstaller/pyinstaller#9012 + astral-sh/uv#12906
       - name: Set up Python for PyInstaller tk and ARM64 issue
-        if: ${{ startsWith(matrix.os, 'ubuntu') }}
+        if: matrix.os != 'windows-latest'
         uses: actions/setup-python@v5
         with:
           allow-prereleases: true
@@ -91,7 +94,7 @@ jobs:
         uses: astral-sh/setup-uv@v6
         with:
           enable-cache: true
-          python-version: ${{ !startsWith(matrix.os, 'ubuntu') && matrix.python-version || null }}
+          python-version: ${{ matrix.os == 'windows-latest' && matrix.python-version || null }}
       # endregion
       - run: scripts/install.ps1
         shell: pwsh
@@ -100,26 +103,27 @@ jobs:
       - name: Add empty profile
         run: echo "" > dist/settings.toml
       - name: Extract AutoSplit version
-        id: autosplit_version
+        id: artifact_vars
         working-directory: src
-        run: |
+        run: | # This also serves as a sanity check for imports
           $Env:AUTOSPLIT_VERSION=uv run python -c "import utils; print(utils.AUTOSPLIT_VERSION)"
           echo "AUTOSPLIT_VERSION=$Env:AUTOSPLIT_VERSION" >> $Env:GITHUB_OUTPUT
+          echo "OS=$([System.Runtime.InteropServices.RuntimeInformation]::RuntimeIdentifier)" >> $Env:GITHUB_OUTPUT
         shell: pwsh
       - name: Upload Build Artifact
         uses: actions/upload-artifact@v4
         with:
           name: >
-            AutoSplit v${{ steps.autosplit_version.outputs.AUTOSPLIT_VERSION }}
-            for ${{ matrix.os }} (Python ${{ matrix.python-version }})
+            AutoSplit v${{ steps.artifact_vars.outputs.AUTOSPLIT_VERSION }}
+            for ${{ steps.artifact_vars.outputs.OS }} (Python ${{ matrix.python-version }})
           path: |
             dist/AutoSplit*
             dist/settings.toml
           if-no-files-found: error
       - name: Upload Build logs
         uses: actions/upload-artifact@v4
         with:
-          name: Build logs for ${{ matrix.os }} (Python ${{ matrix.python-version }})
+          name: Build logs for ${{ steps.artifact_vars.outputs.OS }} (Python ${{ matrix.python-version }})
           path: |
             build/AutoSplit/*.toc
             build/AutoSplit/*.txt

README.md

@@ -44,12 +44,12 @@ To understand how to use AutoSplit and how it works in-depth, please read the [t
 
 ### Compatibility
 
-- Windows 10 and 11. (x64 only)
+- Windows 10 and 11.
 - Linux (still in early development)
-  - Both x64 and ARM64 architectures \* (see [Known Limitations](#known-limitations) for ARM64)
   - Should work on Ubuntu 22.04+
   - Wayland is not currently supported
   - WSL2/WSLg requires an additional Desktop Environment, external X11 server, and/or systemd
+- x64 and ARM64 architectures \* (see [Known Limitations](#known-limitations) for ARM64)
 - If you'd like to run the project directly in Python from the source code, refer to the [build instructions](/docs/build%20instructions.md).
 
 ## Timer Integration
@@ -75,6 +75,7 @@ See the [installation instructions](https://github.com/Toufool/LiveSplit.AutoSpl
   - Incompatible with LiveSplitOne on Linux (see <https://github.com/LiveSplit/LiveSplitOne/issues/1025>)
 - Antivirus false positives. Please read <https://github.com/pyinstaller/pyinstaller/blob/develop/.github/ISSUE_TEMPLATE/antivirus.md>
 - The Perceptual Hash Comparison Method similarity may differ by 3.125% on ARM64. (this will be solved eventually, we have to use a fallback method for now)
+- Native ARM64 builds go completely untested. There may be unforseen issues.
 
 ## Resources
 

pyproject.toml

@@ -17,9 +17,9 @@ dependencies = [
   # scipy is used for pHash calculation as a smaller, but still fast implementation.
   # However, scipy is not available on all environments yet.
   # In those cases, we're falling back to opencv-contrib-python's cv2.img_hash
-  "opencv-contrib-python-headless >=4.10; platform_machine == 'aarch64'", # NumPy 2 support
-  "opencv-python-headless >=4.10; platform_machine != 'aarch64'", # NumPy 2 support
-  "scipy >=1.14.1; platform_machine != 'aarch64'", # Python 3.13 support
+  "opencv-contrib-python-headless; platform_machine == 'ARM64' or platform_machine == 'aarch64'",
+  "opencv-python-headless; platform_machine != 'ARM64' and platform_machine != 'aarch64'",
+  "scipy >=1.14.1; platform_machine != 'ARM64' and platform_machine != 'aarch64'", # Python 3.13 support
 
   #
   # Build and compile resources
@@ -32,14 +32,16 @@ dependencies = [
   "pygrabber >=0.2; sys_platform == 'win32'", # Completed types
   "pywin32 >=307; sys_platform == 'win32'", # Python 3.13 support
   "typed-D3DShot[numpy] >=1.0.1; sys_platform == 'win32'",
-  "winrt-Windows.Foundation >=2.2.0; sys_platform == 'win32'", # Python 3.13 support
-  "winrt-Windows.Graphics >=2.2.0; sys_platform == 'win32'", # Python 3.13 support
-  "winrt-Windows.Graphics.Capture >=3.0.0; sys_platform == 'win32'", # Type hints are no longer typing.Optional by default.
-  "winrt-Windows.Graphics.Capture.Interop >=2.3.0; sys_platform == 'win32'", # Python 3.13 support
-  "winrt-Windows.Graphics.DirectX >=2.3.0; sys_platform == 'win32'", # Python 3.13 support
-  "winrt-Windows.Graphics.DirectX.Direct3D11 >=2.3.0; sys_platform == 'win32'", # Python 3.13 support
-  "winrt-Windows.Graphics.DirectX.Direct3D11.Interop >=2.3.0; sys_platform == 'win32'",
-  "winrt-Windows.Graphics.Imaging >=2.3.0; sys_platform == 'win32'", # Python 3.13 support
+  # winrt: winrt-runtime didn't have a working Python 3.14 sdist build until 3.2.0
+  # TODO: Bump when 3.14 wheels are released
+  "winrt-Windows.Foundation >=3.2.0; sys_platform == 'win32'",
+  "winrt-Windows.Graphics >=3.2.0; sys_platform == 'win32'",
+  "winrt-Windows.Graphics.Capture >=3.2.0; sys_platform == 'win32'",
+  "winrt-Windows.Graphics.Capture.Interop >=3.2.0; sys_platform == 'win32'",
+  "winrt-Windows.Graphics.DirectX >=3.2.0; sys_platform == 'win32'",
+  "winrt-Windows.Graphics.DirectX.Direct3D11 >=3.2.0; sys_platform == 'win32'",
+  "winrt-Windows.Graphics.DirectX.Direct3D11.Interop >=3.2.0; sys_platform == 'win32'",
+  "winrt-Windows.Graphics.Imaging >=3.2.0; sys_platform == 'win32'",
   #
   # Linux-only dependencies
   "PyScreeze >=1.0.0; sys_platform == 'linux'",
@@ -59,7 +61,6 @@ dev = [
   "ruff >=0.11.13",
   #
   # Types
-  "opencv-contrib-python-headless",
   "scipy-stubs >=1.14.1.1",
   "types-PyAutoGUI",
   "types-PyScreeze; sys_platform == 'linux'",

src/compare.py

@@ -1,5 +1,6 @@
 from collections.abc import Iterable
 from math import sqrt
+from typing import TYPE_CHECKING
 
 import cv2
 import Levenshtein
@@ -102,27 +103,28 @@ def __cv2_scipy_compute_phash(image: MatLike, hash_size: int, highfreq_factor: i
         median = np.median(dct_low_frequency)
         return dct_low_frequency > median
 
-    def __cv2_phash(source: MatLike, capture: MatLike, hash_size: int = 8):  # pyright: ignore[reportRedeclaration]
+    def __cv2_phash(source: MatLike, capture: MatLike, hash_size: int = 8):
         source_hash = __cv2_scipy_compute_phash(source, hash_size)
         capture_hash = __cv2_scipy_compute_phash(capture, hash_size)
         hash_diff = np.count_nonzero(source_hash != capture_hash)
         return 1 - (hash_diff / 64.0)
 
 except ModuleNotFoundError:
-
-    def __cv2_phash(source: MatLike, capture: MatLike, hash_size: int = 8):
-        # OpenCV has its own pHash comparison implementation in `cv2.img_hash`,
-        # but it requires contrib/extra modules and is inaccurate
-        # unless we precompute the size with a specific interpolation.
-        # See: https://github.com/opencv/opencv_contrib/issues/3295#issuecomment-1172878684
-        #
-        phash = cv2.img_hash.PHash.create()
-        source = cv2.resize(source, (hash_size, hash_size), interpolation=cv2.INTER_AREA)
-        capture = cv2.resize(capture, (hash_size, hash_size), interpolation=cv2.INTER_AREA)
-        source_hash = phash.compute(source)
-        capture_hash = phash.compute(capture)
-        hash_diff = phash.compare(source_hash, capture_hash)
-        return 1 - (hash_diff / 64.0)
+    if not TYPE_CHECKING:  # opencv-contrib-python-headless being installed is based on architecture
+
+        def __cv2_phash(source: MatLike, capture: MatLike, hash_size: int = 8):
+            # OpenCV has its own pHash comparison implementation in `cv2.img_hash`,
+            # but it requires contrib/extra modules and is inaccurate
+            # unless we precompute the size with a specific interpolation.
+            # See: https://github.com/opencv/opencv_contrib/issues/3295#issuecomment-1172878684
+            #
+            phash = cv2.img_hash.PHash.create()
+            source = cv2.resize(source, (hash_size, hash_size), interpolation=cv2.INTER_AREA)
+            capture = cv2.resize(capture, (hash_size, hash_size), interpolation=cv2.INTER_AREA)
+            source_hash = phash.compute(source)
+            capture_hash = phash.compute(capture)
+            hash_diff = phash.compare(source_hash, capture_hash)
+            return 1 - (hash_diff / 64.0)
 
 
 def compare_phash(source: MatLike, capture: MatLike, mask: MatLike | None = None):