added a test for multiple os

Author: cansik

.github/workflows/create-index.yaml

@@ -1,4 +1,4 @@
-name: Build & Deploy pip Simple Index
+name: Create Simple pip Index
 
 on:
   release:

.github/workflows/test-mediapipe-numpy2.yaml

@@ -0,0 +1,40 @@
+name: Test mediapipe-numpy2
+
+on:
+  release:
+    types: [ published ]
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  test:
+    name: Test on ${{ matrix.os }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os:
+          - ubuntu-latest
+          - windows-latest
+          - macos-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+
+      - name: Set up Python 3.12
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.12'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install numpy>2
+          pip install mediapipe_numpy2 --extra-index-url https://cansik.github.io/mediapipe-numpy2/
+
+      - name: Run unit tests
+        run: |
+          python -m unittest discover -v tests

tests/test_pose_estimator.py

@@ -0,0 +1,31 @@
+import unittest
+
+import mediapipe as mp
+import numpy as np
+
+
+class TestPoseEstimator(unittest.TestCase):
+    def test_pose_estimator_on_zero_image(self):
+        # create a blank RGB image
+        image = np.zeros((480, 640, 3), dtype=np.uint8)
+
+        mp_pose = mp.solutions.pose
+        with mp_pose.Pose(static_image_mode=True) as pose:
+            results = pose.process(image)
+
+        # We got a results object
+        self.assertIsNotNone(results)
+
+        # It should have a pose_landmarks attribute
+        self.assertTrue(hasattr(results, "pose_landmarks"))
+
+        # If landmarks were detected, they should be a numpy array
+        if results.pose_landmarks is not None:
+            self.assertIsInstance(results.pose_landmarks, np.ndarray)
+            # 33 keypoints × (x, y, z)
+            self.assertEqual(results.pose_landmarks.ndim, 2)
+            self.assertEqual(results.pose_landmarks.shape[1], 3)
+
+
+if __name__ == "__main__":
+    unittest.main()