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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+using OpenCV
+const cv = OpenCV
+size0 = Int32(300)
+# take the model from https://github.com/opencv/opencv_extra/tree/master/testdata/dnn
+net = cv.dnn_DetectionModel("opencv_face_detector.pbtxt", "opencv_face_detector_uint8.pb")
+
+cv.dnn.setPreferableTarget(net, cv.dnn.DNN_TARGET_CPU)
+cv.dnn.setInputMean(net, (104, 177, 123))
+cv.dnn.setInputScale(net, 1.)
+cv.dnn.setInputSize(net, size0, size0)
+
+cap = cv.VideoCapture(Int32(0))
+while true
+    ok, frame = cv.read(cap)
+    if ok == false
+        break
+    end
+    classIds, confidences, boxes = cv.dnn.detect(net, frame, confThreshold=Float32(0.5))
+
+    for i in 1:size(boxes,1)
+        confidence = confidences[i]
+        x0 = Int32(boxes[i].x)
+        y0 = Int32(boxes[i].y)
+        x1 = Int32(boxes[i].x+boxes[i].width)
+        y1 = Int32(boxes[i].y+boxes[i].height)
+        cv.rectangle(frame, cv.Point{Int32}(x0, y0), cv.Point{Int32}(x1, y1), (100, 255, 100); thickness = Int32(5))
+        label = "face: " * string(confidence)
+        lsize, bl = cv.getTextSize(label, cv.FONT_HERSHEY_SIMPLEX, 0.5, Int32(1))
+        cv.rectangle(frame, cv.Point{Int32}(x0,y0), cv.Point{Int32}(x0+lsize.width, y0+lsize.height+bl), (100,255,100); thickness = Int32(-1))
+        cv.putText(frame, label, cv.Point{Int32}(x0, y0 + lsize.height),
+        cv.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0); thickness = Int32(1), lineType = cv.LINE_AA)
+    end
+
+
+    cv.imshow("detections", frame)
+    if cv.waitKey(Int32(30)) >= 0
+        break
+    end
+end