做了一个简单的去水印功能,基于文字检测去图片水印。效果如下:
插件功能代码参考如下:
cpp
using namespace cv::dnn;
TextDetectionModel_DB *textDetector=0;
void getTextDetector()
{
if(textDetector)return;
String modelPath = "text_detection_DB_TD500_resnet18_2021sep.onnx"; //模型权重文件
textDetector=new TextDetectionModel_DB(modelPath);
float binThresh = 0.3; //二值图的置信度阈值
float polyThresh = 0.5 ; //文本多边形阈值
double unclipRatio = 2.0; //检测到的文本区域的未压缩比率,gai比率确定输出大小
uint maxCandidates = 200;
textDetector->setBinaryThreshold(binThresh)
.setPolygonThreshold(polyThresh)
.setUnclipRatio(unclipRatio)
.setMaxCandidates(maxCandidates);
double scale = 1.0 / 255.0;
int height = 736; //输出图片长宽
int width = 736;
Size inputSize = Size(width, height);
Scalar mean = Scalar(122.67891434, 116.66876762, 104.00698793);
textDetector->setInputParams(scale, inputSize, mean);
}
void deWaterMarkTextDetection(Mat &input,Mat &output,Mat &src,string)
{
getTextDetector();
// 推理
std::vector<std::vector<Point>> results;
textDetector->detect(input, results);
Mat mask = Mat::zeros(input.size(), CV_8U);
fillPoly(mask, results,Scalar::all(255));
//将掩模进行膨胀,使其能够覆盖图像更大区域
Mat kernel = getStructuringElement(MORPH_RECT, Size(5, 5));
dilate(mask, mask, kernel);
//使用inpaint进行图像修复
Mat result;
inpaint(src, mask, output, 1, INPAINT_NS);
}