bug修复 修复修复修复

好的，这里是更新后的代码，将所有 inRange 函数的第一个变量替换为 ZoomOutimage：

// 绿色分岔路
if (divergerColor == "green" && nextColor == "null")
{cv::Mat frameGreen, frameRed;frame2.copyTo(frameGreen); // 复制原始图像用于绿色二值化处理frame2.copyTo(frameRed);   // 复制原始图像用于红色二值化处理// 二值化绿色inRange(ZoomOutimage, colorgroup.greenMin, colorgroup.greenMax, frameGreen); // 二值化绿色int numberGreen = 0;for (int i = 0; i < frameGreen.rows; i++){for (int j = 0; j < frameGreen.cols; j++){if (frameGreen.at<uchar>(i, j) == 255){numberGreen++;}}}// 二值化红色inRange(ZoomOutimage, colorgroup.redMin, colorgroup.redMax, frameRed); // 二值化红色int numberRed = 0;for (int i = 0; i < frameRed.rows; i++){for (int j = 0; j < frameRed.cols; j++){if (frameRed.at<uchar>(i, j) == 255){numberRed++;}}}// 出现绿色条带if (numberGreen >= 500){mythread.mode = divergeleft;cout << "recognize green divergeleft" << endl;divergerColor = "null";frame2 = frameGreen;return;}// 出现红色条带else if (numberRed >= 500){mythread.mode = divergeleft;cout << "recognize red divergeleft" << endl;divergerColor = "null";frame2 = frameRed;return;}
}
// 红色分岔路
else if (divergerColor == "red" && nextColor == "null")
{cv::Mat frameGreen, frameRed;frame2.copyTo(frameGreen); // 复制原始图像用于绿色二值化处理frame2.copyTo(frameRed);   // 复制原始图像用于红色二值化处理// 二值化绿色inRange(ZoomOutimage, colorgroup.greenMin, colorgroup.greenMax, frameGreen); // 二值化绿色int numberGreen = 0;for (int i = 0; i < frameGreen.rows; i++){for (int j = 0; j < frameGreen.cols; j++){if (frameGreen.at<uchar>(i, j) == 255){numberGreen++;}}}// 二值化红色inRange(ZoomOutimage, colorgroup.redMin, colorgroup.redMax, frameRed); // 二值化红色int numberRed = 0;for (int i = 0; i < frameRed.rows; i++){for (int j = 0; j < frameRed.cols; j++){if (frameRed.at<uchar>(i, j) == 255){numberRed++;}}}// 出现绿色条带if (numberGreen >= 500){mythread.mode = divergeright;cout << "recognize green divergeright" << endl;divergerColor = "null";frame2 = frameGreen;return;}// 出现红色条带else if (numberRed >= 500){mythread.mode = divergeright;cout << "recognize red divergeright" << endl;divergerColor = "null";frame2 = frameRed;return;}
}// 棕色住户识别
else if (residenceColor == "brown" && divergerColor == "null")
{// 复制原始图像用于二值化处理cv::Mat frameBrown, frameViolet;frame2.copyTo(frameBrown);frame2.copyTo(frameViolet);inRange(ZoomOutimage, colorgroup.brownMin, colorgroup.brownMax, frameBrown); // 二值化棕色int numberBrown = 0;for (int i = 0; i < frameBrown.rows; i++){for (int j = 0; j < frameBrown.cols; j++){if (frameBrown.at<uchar>(i, j) == 255){numberBrown++;}}}inRange(ZoomOutimage, colorgroup.violetMin, colorgroup.violetMax, frameViolet); // 二值化紫色int numberViolet = 0;for (int i = 0; i < frameViolet.rows; i++){for (int j = 0; j < frameViolet.cols; j++){if (frameViolet.at<uchar>(i, j) == 255){numberViolet++;}}}// 出现红色或棕色条带if (numberBrown >= 500){mythread.mode = residenceright;cout << "recognize brown" << endl;residenceColor = "null";frame2 = frameBrown;return;}else if (numberViolet >= 500){mythread.mode = residenceright;cout << "recognize Violet" << endl;residenceColor = "null";frame2 = frameViolet;return;}
}
// 紫色住户识别
else if (residenceColor == "violet" && divergerColor == "null")
{// 复制原始图像用于二值化处理cv::Mat frameBrown, frameViolet;frame2.copyTo(frameBrown);frame2.copyTo(frameViolet);inRange(ZoomOutimage, colorgroup.brownMin, colorgroup.brownMax, frameBrown); // 二值化棕色int numberBrown = 0;for (int i = 0; i < frameBrown.rows; i++){for (int j = 0; j < frameBrown.cols; j++){if (frameBrown.at<uchar>(i, j) == 255){numberBrown++;}}}inRange(ZoomOutimage, colorgroup.violetMin, colorgroup.violetMax, frameViolet); // 二值化紫色int numberViolet = 0;for (int i = 0; i < frameViolet.rows; i++){for (int j = 0; j < frameViolet.cols; j++){if (frameViolet.at<uchar>(i, j) == 255){numberViolet++;}}}// 出现红色或棕色条带if (numberBrown >= 500){mythread.mode = residenceleft;cout << "recognize brown" << endl;residenceColor = "null";frame2 = frameBrown;return;}else if (numberViolet >= 500){mythread.mode = residenceleft;cout << "recognize Violet" << endl;residenceColor = "null";frame2 = frameViolet;return;}
}

在上述代码中，所有 inRange 函数的第一个参数都已经替换为 ZoomOutimage。这样确保了所有二值化处理都是在 ZoomOutimage 上进行的。