OpenCV Python 排泥系统报警：一分钟超时提醒

下面是一个使用OpenCV和Python编写的关于排泥系统的程序，当排泥时间超过一分钟时，会在页面上显示“alarm”。\n\npython\nimport cv2 as cv\nimport numpy as np\n\ndef custom_threshold(image):\n gray = cv.cvtColor(image, cv.COLOR_RGB2GRAY) # 把输入图像灰度化\n h, w = gray.shape[:2]\n m = np.reshape(gray, [1, w * h])\n mean = m.sum() / (w * h)\n print("mean:", mean)\n ret, binary = cv.threshold(gray, mean, 255, cv.THRESH_BINARY)\n cv.namedWindow("binary2", cv.WINDOW_NORMAL)\n cv.imshow("binary2", binary)\n\n# 模拟排泥系统每一帧图像\ndef simulate_sedimentation_system():\n # 假设排泥时间为1分钟\n total_frames = 60\n current_frame = 0\n\n while True:\n # 获取当前帧图像\n frame = capture_frame()\n\n # 处理当前帧图像\n custom_threshold(frame)\n\n # 检查排泥时间是否超过1分钟\n current_frame += 1\n if current_frame > total_frames:\n print("Alarm!")\n cv.putText(frame, "Alarm", (20, 50), cv.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)\n cv.imshow("Alarm", frame)\n\n # 等待按下ESC键退出循环\n if cv.waitKey(1) == 27:\n break\n\n cv.destroyAllWindows()\n\n# 模拟获取一帧图像\ndef capture_frame():\n # 在这里替换为获取图像的代码\n # 返回一帧图像\n return np.zeros((480, 640, 3), np.uint8)\n\nif __name__ == "__main__":\n simulate_sedimentation_system()\n\n\n上述代码通过模拟排泥系统每一帧图像的获取和处理过程，检查排泥时间是否超过一分钟，并在页面上显示相应的报警信息。你可以根据实际情况修改capture_frame()函数来获取真实的图像帧。