vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
commit 12022378a3
3872 changed files with 2513409 additions and 0 deletions
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+#!/usr/bin/env python
+import os
+import cv2 as cv
+import numpy as np
+
+from tests_common import NewOpenCVTests, unittest
+
+class cudastereo_test(NewOpenCVTests):
+    def setUp(self):
+        super(cudastereo_test, self).setUp()
+        if not cv.cuda.getCudaEnabledDeviceCount():
+            self.skipTest("No CUDA-capable device is detected")
+
+    def test_reprojectImageTo3D(self):
+        # Test's the functionality but not the results from reprojectImageTo3D
+        sz = (128,128)
+        np_disparity = np.random.randint(0, 64, sz, dtype=np.int16)
+        cu_disparity = cv.cuda_GpuMat(np_disparity)
+        np_q = np.random.randint(0, 100, (4, 4)).astype(np.float32)
+        stream = cv.cuda.Stream()
+        cu_xyz = cv.cuda.reprojectImageTo3D(cu_disparity, np_q, stream = stream)
+        self.assertTrue(cu_xyz.type() == cv.CV_32FC4 and cu_xyz.size() == sz)
+        cu_xyz1 = cv.cuda.GpuMat(sz, cv.CV_32FC3)
+        cv.cuda.reprojectImageTo3D(cu_disparity, np_q, cu_xyz1, 3, stream)
+        self.assertTrue(cu_xyz1.type() == cv.CV_32FC3 and cu_xyz1.size() == sz)
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()