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
@@ -0,0 +1,23 @@
+# test simple blob detector
+img_gray = OpenCV.imread(joinpath(test_dir, "shared", "pic1.png"), OpenCV.IMREAD_GRAYSCALE)
+
+detector = OpenCV.SimpleBlobDetector_create()
+
+# Compare centers of keypoints and se how many of them match,
+kps = OpenCV.detect(detector, img_gray)
+
+kps_expect = [OpenCV.Point{Float32}(174.9114f0, 227.75146f0),OpenCV.Point{Float32}(106.925545f0, 179.5765f0)]
+for kp in kps
+    closest_match = 100000
+    for kpe in kps_expect
+        dx = kpe.x - kp.pt.x
+        dy = kpe.y - kp.pt.y
+        if sqrt(dx*dx+dy*dy) < closest_match
+            closest_match = sqrt(dx*dx+dy*dy)
+        end
+    end
+
+    @test closest_match < 10
+end
+
+println("feature2d test passed")