Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/env python
import cv2 as cv
from tests_common import NewOpenCVTests
class stitching_test(NewOpenCVTests):
def test_simple(self):
img1 = self.get_sample('stitching/a1.png')
img2 = self.get_sample('stitching/a2.png')
stitcher = cv.createStitcher(False)
(_result, pano) = stitcher.stitch((img1, img2))
#cv.imshow("pano", pano)
#cv.waitKey()
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()