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 +1,59 @@
+using OpenCV
+
+function detect(img::OpenCV.InputArray, cascade)
+    rects = OpenCV.detectMultiScale(cascade, img, scaleFactor=1.3, minNeighbors=Int32(4), minSize=OpenCV.Size{Int32}(30, 30), flags=OpenCV.CASCADE_SCALE_IMAGE)
+    processed_rects = []
+    for rect in rects
+        push!(processed_rects, (rect.x, rect.y, rect.width+rect.x, rect.height+rect.y))
+    end
+    return processed_rects
+end
+
+function draw_rects(img, rects, color)
+    for x in rects
+        OpenCV.rectangle(img, OpenCV.Point{Int32}(x[1], x[2]), OpenCV.Point{Int32}(x[3], x[4]), color, thickness = Int32(2))
+    end
+end
+
+cap = OpenCV.VideoCapture(Int32(0))
+
+# Replace the paths for the classifiers before running
+
+cascade = OpenCV.CascadeClassifier("haarcascade_frontalface_alt.xml")
+nested = OpenCV.CascadeClassifier("haarcascade_eye.xml")
+
+OpenCV.namedWindow("facedetect")
+
+while true
+    ret, img = OpenCV.read(cap)
+    if ret==false
+        print("Webcam stopped")
+        break
+    end
+    gray = OpenCV.cvtColor(img, OpenCV.COLOR_BGR2GRAY)
+    gray = OpenCV.equalizeHist(gray)
+
+    rects = detect(gray, cascade)
+    vis = copy(img)
+    draw_rects(vis, rects, (0.0, 255.0, 0.0))
+
+    if ~OpenCV.empty(nested)
+        for x in rects
+            roi = view(gray, :, Int(x[1]):Int(x[3]), Int(x[2]):Int(x[4]))
+            subrects = detect(roi, nested)
+            draw_view = view(vis, :, Int(x[1]):Int(x[3]), Int(x[2]):Int(x[4]))
+            draw_rects(draw_view, subrects, (255.0, 0.0, 0.0))
+        end
+    end
+
+    OpenCV.imshow("facedetect", vis)
+    if OpenCV.waitKey(Int32(5))==27
+        break
+    end
+end
+
+OpenCV.release(cap)
+
+OpenCV.destroyAllWindows()
+
+print("Stopped")