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Merge pull request #10446 from cabelo:style-dnn-yolo
* add style draw in yolo * fix sintaxe whitespace * fix conversion from float to int * sample refactoring - minor code style fixes - avoid confusing "bottom" names - use cv::format - always draw object detection/roi
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@ -26,6 +26,7 @@ static const char* params =
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"{ model | | model weights }"
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"{ camera_device | 0 | camera device number}"
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"{ source | | video or image for detection}"
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"{ style | box | box or line style draw }"
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"{ min_confidence | 0.24 | min confidence }"
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"{ class_names | | File with class names, [PATH-TO-DARKNET]/data/coco.names }";
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@ -78,7 +79,7 @@ int main(int argc, char** argv)
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}
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}
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vector<string> classNamesVec;
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vector<String> classNamesVec;
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ifstream classNamesFile(parser.get<String>("class_names").c_str());
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if (classNamesFile.is_open())
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{
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@ -87,6 +88,8 @@ int main(int argc, char** argv)
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classNamesVec.push_back(className);
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}
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String object_roi_style = parser.get<String>("style");
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for(;;)
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{
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Mat frame;
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@ -114,11 +117,10 @@ int main(int argc, char** argv)
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//! [Make forward pass]
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vector<double> layersTimings;
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double freq = getTickFrequency() / 1000;
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double time = net.getPerfProfile(layersTimings) / freq;
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ostringstream ss;
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ss << "FPS: " << 1000/time << " ; time: " << time << " ms";
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putText(frame, ss.str(), Point(20,20), 0, 0.5, Scalar(0,0,255));
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double tick_freq = getTickFrequency();
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double time_ms = net.getPerfProfile(layersTimings) / tick_freq * 1000;
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putText(frame, format("FPS: %.2f ; time: %.2f ms", 1000.f / time_ms, time_ms),
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Point(20, 20), 0, 0.5, Scalar(0, 0, 255));
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float confidenceThreshold = parser.get<float>("min_confidence");
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for (int i = 0; i < detectionMat.rows; i++)
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@ -132,44 +134,34 @@ int main(int argc, char** argv)
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if (confidence > confidenceThreshold)
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{
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float x = detectionMat.at<float>(i, 0);
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float y = detectionMat.at<float>(i, 1);
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float width = detectionMat.at<float>(i, 2);
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float height = detectionMat.at<float>(i, 3);
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int xLeftBottom = static_cast<int>((x - width / 2) * frame.cols);
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int yLeftBottom = static_cast<int>((y - height / 2) * frame.rows);
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int xRightTop = static_cast<int>((x + width / 2) * frame.cols);
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int yRightTop = static_cast<int>((y + height / 2) * frame.rows);
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float x_center = detectionMat.at<float>(i, 0) * frame.cols;
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float y_center = detectionMat.at<float>(i, 1) * frame.rows;
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float width = detectionMat.at<float>(i, 2) * frame.cols;
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float height = detectionMat.at<float>(i, 3) * frame.rows;
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Point p1(cvRound(x_center - width / 2), cvRound(y_center - height / 2));
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Point p2(cvRound(x_center + width / 2), cvRound(y_center + height / 2));
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Rect object(p1, p2);
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Rect object(xLeftBottom, yLeftBottom,
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xRightTop - xLeftBottom,
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yRightTop - yLeftBottom);
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Scalar object_roi_color(0, 255, 0);
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rectangle(frame, object, Scalar(0, 255, 0));
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if (objectClass < classNamesVec.size())
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if (object_roi_style == "box")
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{
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ss.str("");
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ss << confidence;
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String conf(ss.str());
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String label = String(classNamesVec[objectClass]) + ": " + conf;
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int baseLine = 0;
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Size labelSize = getTextSize(label, FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);
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rectangle(frame, Rect(Point(xLeftBottom, yLeftBottom ),
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Size(labelSize.width, labelSize.height + baseLine)),
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Scalar(255, 255, 255), CV_FILLED);
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putText(frame, label, Point(xLeftBottom, yLeftBottom+labelSize.height),
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FONT_HERSHEY_SIMPLEX, 0.5, Scalar(0,0,0));
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rectangle(frame, object, object_roi_color);
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}
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else
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{
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cout << "Class: " << objectClass << endl;
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cout << "Confidence: " << confidence << endl;
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cout << " " << xLeftBottom
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<< " " << yLeftBottom
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<< " " << xRightTop
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<< " " << yRightTop << endl;
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Point p_center(cvRound(x_center), cvRound(y_center));
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line(frame, object.tl(), p_center, object_roi_color, 1);
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}
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String className = objectClass < classNamesVec.size() ? classNamesVec[objectClass] : cv::format("unknown(%d)", objectClass);
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String label = format("%s: %.2f", className.c_str(), confidence);
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int baseLine = 0;
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Size labelSize = getTextSize(label, FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);
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rectangle(frame, Rect(p1, Size(labelSize.width, labelSize.height + baseLine)),
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object_roi_color, CV_FILLED);
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putText(frame, label, p1 + Point(0, labelSize.height),
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FONT_HERSHEY_SIMPLEX, 0.5, Scalar(0,0,0));
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}
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}
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