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In the ch5 of "mastering openCV with practical computer vision projects", the author adjust the rotation of the plate as follow

void detectRegions::rotatedRect(cv::Mat const &input, cv::RotatedRect const &minRect)
{
    // rotated rectangle drawing
    cv::Point2f rect_points[4];
    minRect.points(rect_points);
    for( int j = 0; j != 4; ++j){
        cv::line( result, rect_points[j], rect_points[(j+1)%4], cv::Scalar(0, 0, 255), 1, 8 );
    }

    //Get rotation matrix
    float const aspect = static_cast<float>(minRect.size.width) / static_cast<float>(minRect.size.height);
    float angle = minRect.angle;        
    if(aspect < 1){            
        angle += 90;
    }
    cv::Mat const rotmat = cv::getRotationMatrix2D(minRect.center, angle, 1);

    //Create and rotate image
    cv::warpAffine(input, imgRotated, rotmat, input.size(), CV_INTER_CUBIC);    
}

The author use the height and width to determine the angle of the rotation matrix, but I don't know the reason behind of it.What I know is the consequence of how to make the car plate back to horizontal(-90)

1. when width >= height(aspect >= 1), we need to apply clockwise rotation on the image
2. when height < width(aspect < 1), we need to apply counter-clockwise rotation on the image

In the ch5 of "mastering openCV with practical computer vision projects", the author adjust the rotation of the plate as follow

void detectRegions::rotatedRect(cv::Mat const &input, cv::RotatedRect const &minRect)
{
    // rotated rectangle drawing
    cv::Point2f rect_points[4];
    minRect.points(rect_points);
    for( int j = 0; j != 4; ++j){
        cv::line( result, rect_points[j], rect_points[(j+1)%4], cv::Scalar(0, 0, 255), 1, 8 );
    }

    //Get rotation matrix
    float const aspect = static_cast<float>(minRect.size.width) / static_cast<float>(minRect.size.height);
    float angle = minRect.angle;        
    if(aspect < 1){            
        angle += 90;
    }
    cv::Mat const rotmat = cv::getRotationMatrix2D(minRect.center, angle, 1);

    //Create and rotate image
    cv::warpAffine(input, imgRotated, rotmat, input.size(), CV_INTER_CUBIC);    
}

The author use the height and width to determine the angle of the rotation matrix, but I don't know the reason behind of it.What I know is the consequence of how to make the car plate back to horizontal(-90)

1. when width >= height(aspect >= 1), we need to apply clockwise rotation on the image
2. when height < width(aspect < 1), we need to apply counter-clockwise rotation on the image

In the ch5 of "mastering openCV with practical computer vision projects", the author adjust the rotation of the plate as follow

void detectRegions::rotatedRect(cv::Mat const &input, cv::RotatedRect const &minRect)
{
    // rotated rectangle drawing
    cv::Point2f rect_points[4];
    minRect.points(rect_points);
    for( int j = 0; j != 4; ++j){
        cv::line( result, rect_points[j], rect_points[(j+1)%4], cv::Scalar(0, 0, 255), 1, 8 );
    }

    //Get rotation matrix
    float const aspect = static_cast<float>(minRect.size.width) /  static_cast<float>(minRect.size.height);
    float const angle = aspect < 1 ? minRect.angle + 90 : minRect.angle;        
    if(aspect < 1){            
        angle += 90;
    }
     cv::Mat const rotmat = cv::getRotationMatrix2D(minRect.center, angle, 1);

    //Create and rotate image
    cv::warpAffine(input, imgRotated, rotmat, input.size(), CV_INTER_CUBIC);    
}

The author use the height and width to determine the angle of the rotation matrix, but I don't know the reason behind of it.What I know is the consequence of how to make the car plate back to horizontal(-90)

1. when width >= height(aspect >= 1), we need to apply clockwise rotation on the image
2. when height < width(aspect < 1), we need to apply counter-clockwise rotation on the image

How could the width and the height of the car plate show us we should do clockwise rotation or counter-clockwise rotation?