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https://github.com/kerberos-io/openalpr-base.git
synced 2025-10-06 06:46:53 +08:00
Updated segmentation to work with multiline text
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@@ -37,6 +37,8 @@ CharacterSegmenter::CharacterSegmenter(PipelineData* pipeline_data)
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timespec startTime;
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getTime(&startTime);
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pipeline_data->clearThresholds();
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pipeline_data->thresholds = produceThresholds(pipeline_data->crop_gray, config);
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medianBlur(pipeline_data->crop_gray, pipeline_data->crop_gray, 3);
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@@ -44,71 +46,56 @@ CharacterSegmenter::CharacterSegmenter(PipelineData* pipeline_data)
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if (pipeline_data->plate_inverted)
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bitwise_not(pipeline_data->crop_gray, pipeline_data->crop_gray);
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charAnalysis = new CharacterAnalysis(pipeline_data);
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charAnalysis->analyze();
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if (this->config->debugCharSegmenter)
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{
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displayImage(config, "CharacterSegmenter Thresholds", drawImageDashboard(pipeline_data->thresholds, CV_8U, 3));
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}
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if (this->config->debugCharSegmenter && pipeline_data->textLines.size() > 0)
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// if (this->config->debugCharSegmenter && pipeline_data->textLines.size() > 0)
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// {
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// Mat img_contours(charAnalysis->bestThreshold.size(), CV_8U);
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// charAnalysis->bestThreshold.copyTo(img_contours);
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// cvtColor(img_contours, img_contours, CV_GRAY2RGB);
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//
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// vector<vector<Point> > allowedContours;
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// for (uint i = 0; i < charAnalysis->bestContours.size(); i++)
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// {
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// if (charAnalysis->bestContours.goodIndices[i])
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// allowedContours.push_back(charAnalysis->bestContours.contours[i]);
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// }
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//
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// drawContours(img_contours, charAnalysis->bestContours.contours,
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// -1, // draw all contours
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// cv::Scalar(255,0,0), // in blue
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// 1); // with a thickness of 1
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//
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// drawContours(img_contours, allowedContours,
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// -1, // draw all contours
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// cv::Scalar(0,255,0), // in green
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// 1); // with a thickness of 1
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//
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//
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// line(img_contours, pipeline_data->textLines[0].linePolygon[0], pipeline_data->textLines[0].linePolygon[1], Scalar(255, 0, 255), 1);
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// line(img_contours, pipeline_data->textLines[0].linePolygon[3], pipeline_data->textLines[0].linePolygon[2], Scalar(255, 0, 255), 1);
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//
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//
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// Mat bordered = addLabel(img_contours, "Best Contours");
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// imgDbgGeneral.push_back(bordered);
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// }
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for (uint lineidx = 0; lineidx < pipeline_data->textLines.size(); lineidx++)
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{
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Mat img_contours(charAnalysis->bestThreshold.size(), CV_8U);
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charAnalysis->bestThreshold.copyTo(img_contours);
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cvtColor(img_contours, img_contours, CV_GRAY2RGB);
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this->top = pipeline_data->textLines[lineidx].topLine;
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this->bottom = pipeline_data->textLines[lineidx].bottomLine;
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vector<vector<Point> > allowedContours;
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for (uint i = 0; i < charAnalysis->bestContours.size(); i++)
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{
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if (charAnalysis->bestContours.goodIndices[i])
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allowedContours.push_back(charAnalysis->bestContours.contours[i]);
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}
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float avgCharHeight = pipeline_data->textLines[lineidx].lineHeight;
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float height_to_width_ratio = pipeline_data->config->charHeightMM / pipeline_data->config->charWidthMM;
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float avgCharWidth = avgCharHeight / height_to_width_ratio;
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//float avgCharWidth = median(charWidths.data(), charWidths.size());
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drawContours(img_contours, charAnalysis->bestContours.contours,
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-1, // draw all contours
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cv::Scalar(255,0,0), // in blue
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1); // with a thickness of 1
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drawContours(img_contours, allowedContours,
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-1, // draw all contours
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cv::Scalar(0,255,0), // in green
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1); // with a thickness of 1
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line(img_contours, pipeline_data->textLines[0].linePolygon[0], pipeline_data->textLines[0].linePolygon[1], Scalar(255, 0, 255), 1);
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line(img_contours, pipeline_data->textLines[0].linePolygon[3], pipeline_data->textLines[0].linePolygon[2], Scalar(255, 0, 255), 1);
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Mat bordered = addLabel(img_contours, "Best Contours");
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imgDbgGeneral.push_back(bordered);
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}
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if (pipeline_data->textLines.size() > 0)
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{
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this->top = LineSegment(pipeline_data->textLines[0].linePolygon[0].x, pipeline_data->textLines[0].linePolygon[0].y,
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pipeline_data->textLines[0].linePolygon[1].x, pipeline_data->textLines[0].linePolygon[1].y);
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this->bottom = LineSegment(pipeline_data->textLines[0].linePolygon[3].x, pipeline_data->textLines[0].linePolygon[3].y,
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pipeline_data->textLines[0].linePolygon[2].x, pipeline_data->textLines[0].linePolygon[2].y);
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vector<int> charWidths;
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vector<int> charHeights;
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for (uint i = 0; i < charAnalysis->bestContours.size(); i++)
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{
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if (charAnalysis->bestContours.goodIndices[i] == false)
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continue;
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Rect mr = boundingRect(charAnalysis->bestContours.contours[i]);
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charWidths.push_back(mr.width);
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charHeights.push_back(mr.height);
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}
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float avgCharWidth = median(charWidths.data(), charWidths.size());
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float avgCharHeight = median(charHeights.data(), charHeights.size());
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removeSmallContours(pipeline_data->thresholds, charAnalysis->allTextContours, avgCharWidth, avgCharHeight);
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//removeSmallContours(pipeline_data->thresholds, charAnalysis->allTextContours, avgCharWidth, avgCharHeight);
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// Do the histogram analysis to figure out char regions
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@@ -118,11 +105,11 @@ CharacterSegmenter::CharacterSegmenter(PipelineData* pipeline_data)
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vector<Mat> allHistograms;
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vector<Rect> allBoxes;
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for (uint i = 0; i < charAnalysis->allTextContours.size(); i++)
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for (uint i = 0; i < pipeline_data->thresholds.size(); i++)
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{
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Mat histogramMask = Mat::zeros(pipeline_data->thresholds[i].size(), CV_8U);
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fillConvexPoly(histogramMask, pipeline_data->textLines[0].linePolygon.data(), pipeline_data->textLines[0].linePolygon.size(), Scalar(255,255,255));
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fillConvexPoly(histogramMask, pipeline_data->textLines[lineidx].linePolygon.data(), pipeline_data->textLines[lineidx].linePolygon.size(), Scalar(255,255,255));
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VerticalHistogram vertHistogram(pipeline_data->thresholds[i], histogramMask);
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@@ -239,7 +226,7 @@ CharacterSegmenter::CharacterSegmenter(PipelineData* pipeline_data)
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CharacterSegmenter::~CharacterSegmenter()
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{
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delete charAnalysis;
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}
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// Given a histogram and the horizontal line boundaries, respond with an array of boxes where the characters are
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@@ -445,28 +432,28 @@ vector<Rect> CharacterSegmenter::get1DHits(Mat img, int yOffset)
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return hits;
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}
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void CharacterSegmenter::removeSmallContours(vector<Mat> thresholds, vector<TextContours> contours, float avgCharWidth, float avgCharHeight)
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{
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//const float MIN_CHAR_AREA = 0.02 * avgCharWidth * avgCharHeight; // To clear out the tiny specks
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const float MIN_CONTOUR_HEIGHT = 0.3 * avgCharHeight;
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for (uint i = 0; i < thresholds.size(); i++)
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{
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for (uint c = 0; c < contours[i].contours.size(); c++)
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{
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if (contours[i].contours[c].size() == 0)
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continue;
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Rect mr = boundingRect(contours[i].contours[c]);
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if (mr.height < MIN_CONTOUR_HEIGHT)
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{
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// Erase it
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drawContours(thresholds[i], contours[i].contours, c, Scalar(0, 0, 0), -1);
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continue;
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}
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}
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}
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}
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//void CharacterSegmenter::removeSmallContours(vector<Mat> thresholds, vector<TextContours> contours, float avgCharWidth, float avgCharHeight)
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//{
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// //const float MIN_CHAR_AREA = 0.02 * avgCharWidth * avgCharHeight; // To clear out the tiny specks
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// const float MIN_CONTOUR_HEIGHT = 0.3 * avgCharHeight;
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//
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// for (uint i = 0; i < thresholds.size(); i++)
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// {
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// for (uint c = 0; c < contours[i].contours.size(); c++)
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// {
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// if (contours[i].contours[c].size() == 0)
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// continue;
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//
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// Rect mr = boundingRect(contours[i].contours[c]);
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// if (mr.height < MIN_CONTOUR_HEIGHT)
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// {
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// // Erase it
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// drawContours(thresholds[i], contours[i].contours, c, Scalar(0, 0, 0), -1);
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// continue;
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// }
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// }
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// }
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//}
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vector<Rect> CharacterSegmenter::combineCloseBoxes( vector<Rect> charBoxes, float biggestCharWidth)
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{
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