@param pano Final pano.
@return Status code.
*/
- Status composePanorama(InputArrayOfArrays images, OutputArray pano);
+ CV_WRAP Status composePanorama(InputArrayOfArrays images, OutputArray pano);
/** @overload */
CV_WRAP Status stitch(InputArrayOfArrays images, OutputArray pano);
self.assertAlmostEqual(pano.shape[0], 685, delta=100, msg="rows: %r" % list(pano.shape))
self.assertAlmostEqual(pano.shape[1], 1025, delta=100, msg="cols: %r" % list(pano.shape))
+
+class stitching_compose_panorama_test_no_args(NewOpenCVTests):
+
+ def test_simple(self):
+
+ img1 = self.get_sample('stitching/a1.png')
+ img2 = self.get_sample('stitching/a2.png')
+
+ stitcher = cv.createStitcher(False)
+
+ stitcher.estimateTransform((img1, img2))
+
+ result, _ = stitcher.composePanorama()
+
+ assert result == 0
+
+
+class stitching_compose_panorama_args(NewOpenCVTests):
+
+ def test_simple(self):
+
+ img1 = self.get_sample('stitching/a1.png')
+ img2 = self.get_sample('stitching/a2.png')
+
+ stitcher = cv.createStitcher(False)
+
+ stitcher.estimateTransform((img1, img2))
+ result, _ = stitcher.composePanorama((img1, img2))
+
+ assert result == 0
+
if __name__ == '__main__':
NewOpenCVTests.bootstrap()