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24 lines
685 B
24 lines
685 B
4 years ago
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# test simple blob detector
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img_gray = OpenCV.imread(joinpath(test_dir, "shared", "pic1.png"), OpenCV.IMREAD_GRAYSCALE)
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detector = OpenCV.SimpleBlobDetector_create()
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# Compare centers of keypoints and se how many of them match,
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kps = OpenCV.detect(detector, img_gray)
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kps_expect = [OpenCV.Point{Float32}(174.9114f0, 227.75146f0),OpenCV.Point{Float32}(106.925545f0, 179.5765f0)]
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for kp in kps
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closest_match = 100000
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for kpe in kps_expect
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dx = kpe.x - kp.pt.x
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dy = kpe.y - kp.pt.y
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if sqrt(dx*dx+dy*dy) < closest_match
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closest_match = sqrt(dx*dx+dy*dy)
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end
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end
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@test closest_match < 10
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end
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println("feature2d test passed")
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