chore: import upstream snapshot with attribution

modules/python/test/test_eccms.py

@@ -0,0 +1,47 @@
+#!/usr/bin/env python
+
+'''
+ECC multiscale alignment test
+'''
+
+# Python 2/3 compatibility
+from __future__ import print_function
+
+import numpy as np
+import cv2 as cv
+import inspect
+import math
+
+from tests_common import NewOpenCVTests
+
+class eccms_test(NewOpenCVTests):
+    def test_eccms(self):
+        expected_res = np.array([
+            [1.0225, 0.0606, -28.6452],
+            [-0.0475, 1.0314, 11.819],
+            [8.21e-06, -3.65e-07, 1.0]
+        ], dtype=np.float32)
+
+        largeGray0 = self.get_sample('cv/shared/halmosh0.jpg', cv.IMREAD_GRAYSCALE)
+        largeGray1 = self.get_sample('cv/shared/halmosh2.jpg', cv.IMREAD_GRAYSCALE)
+        roiMask0 = self.get_sample('cv/shared/halmosh0mask.png', cv.IMREAD_GRAYSCALE)
+        roiMask1 = self.get_sample('cv/shared/halmosh2mask.png', cv.IMREAD_GRAYSCALE)
+
+        if largeGray0 is None or largeGray1 is None or roiMask0 is None or roiMask1 is None:
+            self.assertEqual(0, 1, 'Missing test data')
+
+        found = np.eye(3, 3, dtype=np.float32)
+        n_iters = 23
+        termination_eps = 1e-6
+        params = cv.ECCParameters()
+        params.criteria = (cv.TERM_CRITERIA_COUNT + cv.TERM_CRITERIA_EPS, n_iters, termination_eps)
+        params.motionType = cv.MOTION_HOMOGRAPHY
+        params.nlevels = 5
+        params.itersPerLevel = [5, 10, 300, 300, 1000]
+
+        _, found = cv.findTransformECCMultiScale(largeGray0,largeGray1, found, params, roiMask0, roiMask1)
+
+        self.assertLess(cv.norm(found - expected_res, cv.NORM_L1), 0.1)
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()