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Merge pull request #10502 from cabelo/save-dnn-yolo
Save video file (#10502)
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da0904df2d
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@ -26,6 +26,8 @@ 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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"{ save | | file name output}"
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"{ fps | 3 | frame per second }"
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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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@ -59,6 +61,9 @@ int main(int argc, char** argv)
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}
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VideoCapture cap;
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VideoWriter writer;
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int codec = CV_FOURCC('M', 'J', 'P', 'G');
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double fps = parser.get<float>("fps");
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if (parser.get<String>("source").empty())
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{
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int cameraDevice = parser.get<int>("camera_device");
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@ -79,6 +84,11 @@ int main(int argc, char** argv)
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}
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}
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if(!parser.get<String>("save").empty())
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{
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writer.open(parser.get<String>("save"), codec, fps, Size((int)cap.get(CAP_PROP_FRAME_WIDTH),(int)cap.get(CAP_PROP_FRAME_HEIGHT)), 1);
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}
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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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@ -164,6 +174,10 @@ int main(int argc, char** argv)
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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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if(writer.isOpened())
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{
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writer.write(frame);
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}
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imshow("YOLO: Detections", frame);
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if (waitKey(1) >= 0) break;
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