try setting enableWinograd(False)

https://github.com/opencv/opencv/issues/23072#issuecomment-1370539641

tests/cv2_segfault_repro_test.py

@@ -50,6 +50,35 @@ def test_cv2_segfault_6_f1() -> None:
     print('yolo.yolo_v3_QR_detector.setInput')
     yolo_v3_QR_detector.setInput(blob=blob)
 
+    print('yolo_v3_QR_detector.enableWinograd(False)')
+    yolo_v3_QR_detector.enableWinograd(False) # add code to disable the Winograd optimized.
+
+    # Transform the image to blob and predict
+    print('yolo_v3_QR_detector.forward')
+    output = yolo_v3_QR_detector.forward(output_layer_name)
+
+    print('Done')
+
+
+def test_cv2_segfault_6_f2() -> None:
+    print('cv2.imread')
+    img = cv2.imread('tests/data/test_googleauth_export.png')
+
+    yolo_v3_QR_detector = cv2.dnn.readNetFromDarknet(cfgFile='tests/data/qrcode-yolov3-tiny.cfg', darknetModel='tests/data/qrcode-yolov3-tiny_last.weights')
+    yolo_v3_QR_detector.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV)
+
+    output_layer_names = yolo_v3_QR_detector.getLayerNames()
+    output_layer_name = output_layer_names[yolo_v3_QR_detector.getUnconnectedOutLayers()[0] - 1]
+
+    print('cv2.dnn.blobFromImage')
+    _INPUT_SIZE = (416, 416)
+    _CONF_THRESHOLD = 0.5
+
+    blob = cv2.dnn.blobFromImage(img, 1 / 255, _INPUT_SIZE, swapRB=False, crop=False)
+
+    print('yolo.yolo_v3_QR_detector.setInput')
+    yolo_v3_QR_detector.setInput(blob=blob)
+
     # Transform the image to blob and predict
     print('yolo_v3_QR_detector.forward')
     output = yolo_v3_QR_detector.forward(output_layer_name)