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
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+function detect(img::OpenCV.InputArray, cascade)
+    rects = OpenCV.detectMultiScale(cascade, img)
+    return (rects[1].x, rects[1].y, rects[1].width+rects[1].x, rects[1].height+rects[1].y)
+end
+
+
+function IOU(boxA, boxB)
+	xA = max(boxA[1], boxB[1])
+	yA = max(boxA[2], boxB[2])
+	xB = min(boxA[3], boxB[3])
+	yB = min(boxA[4], boxB[4])
+	interArea = max(0, xB - xA + 1) * max(0, yB - yA + 1)
+	boxAArea = (boxA[3] - boxA[1] + 1) * (boxA[4] - boxA[2] + 1)
+	boxBArea = (boxB[3] - boxB[1] + 1) * (boxB[4] - boxB[2] + 1)
+	iou = interArea / float(boxAArea + boxBArea - interArea)
+	return iou
+end
+
+cascade = OpenCV.CascadeClassifier(joinpath(test_dir, "cascadeandhog", "cascades", "haarcascade_frontalface_alt.xml"))
+
+img = OpenCV.imread(joinpath(test_dir, "cascadeandhog", "images", "mona-lisa.png"), OpenCV.IMREAD_GRAYSCALE)
+
+rect = detect(img, cascade)
+
+expected_rect = (164,119,306,261)
+
+@test IOU(rect, expected_rect) > 0.95
+
+print("objdetect test passed\n")