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Repair: incorrect display of class name

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This commit is contained in:
alessandro faria
2017-11-30 20:14:40 -02:00
committed by Alexander Alekhin
parent 7ae19467b5
commit df5ec54fb8
4 changed files with 100 additions and 34 deletions
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samples/dnn/yolo_object_detection.cpp
+32 -32
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@@ -1,36 +1,36 @@
// Brief Sample of using OpenCV dnn module in real time with device capture, video and image.
// VIDEO DEMO: https://www.youtube.com/watch?v=NHtRlndE2cg
#include <opencv2/dnn.hpp>
#include <opencv2/dnn/shape_utils.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
using namespace cv;
using namespace cv::dnn;
#include <fstream>
#include <iostream>
#include <algorithm>
#include <cstdlib>
using namespace std;
using namespace cv;
using namespace cv::dnn;
const size_t network_width = 416;
const size_t network_height = 416;
const char* about = "This sample uses You only look once (YOLO)-Detector "
"(https://arxiv.org/abs/1612.08242) "
"to detect objects on camera/video/image.\n"
"Models can be downloaded here: "
"https://pjreddie.com/darknet/yolo/\n"
"Default network is 416x416.\n"
"Class names can be downloaded here: "
"https://github.com/pjreddie/darknet/tree/master/data\n";
static const char* about =
"This sample uses You only look once (YOLO)-Detector (https://arxiv.org/abs/1612.08242) to detect objects on camera/video/image.\n"
"Models can be downloaded here: https://pjreddie.com/darknet/yolo/\n"
"Default network is 416x416.\n"
"Class names can be downloaded here: https://github.com/pjreddie/darknet/tree/master/data\n";
const char* params
= "{ help | false | print usage }"
"{ cfg | | model configuration }"
"{ model | | model weights }"
"{ camera_device | 0 | camera device number}"
"{ video | | video or image for detection}"
"{ min_confidence | 0.24 | min confidence }"
"{ class_names | | class names }";
static const char* params =
"{ help | false | print usage }"
"{ cfg | | model configuration }"
"{ model | | model weights }"
"{ camera_device | 0 | camera device number}"
"{ source | | video or image for detection}"
"{ min_confidence | 0.24 | min confidence }"
"{ class_names | | File with class names, [PATH-TO-DARKNET]/data/coco.names }";
int main(int argc, char** argv)
{
@@ -61,7 +61,7 @@ int main(int argc, char** argv)
}
VideoCapture cap;
if (parser.get<String>("video").empty())
if (parser.get<String>("source").empty())
{
int cameraDevice = parser.get<int>("camera_device");
cap = VideoCapture(cameraDevice);
@@ -73,7 +73,7 @@ int main(int argc, char** argv)
}
else
{
cap.open(parser.get<String>("video"));
cap.open(parser.get<String>("source"));
if(!cap.isOpened())
{
cout << "Couldn't open image or video: " << parser.get<String>("video") << endl;
@@ -86,7 +86,7 @@ int main(int argc, char** argv)
if (classNamesFile.is_open())
{
string className = "";
while (classNamesFile >> className)
while (std::getline(classNamesFile, className))
classNamesVec.push_back(className);
}
@@ -119,14 +119,14 @@ int main(int argc, char** argv)
//! [Make forward pass]
Mat detectionMat = net.forward("detection_out"); //compute output
//! [Make forward pass]
//! [Make forward pass]
vector<double> layersTimings;
double freq = getTickFrequency() / 1000;
double time = net.getPerfProfile(layersTimings) / freq;
ostringstream ss;
ss << "FPS: " << 1000/time << " ; time: " << time << " ms";
putText(frame, ss.str(), Point(20,20), 0, 0.5, Scalar(0,0,255));
vector<double> layersTimings;
double freq = getTickFrequency() / 1000;
double time = net.getPerfProfile(layersTimings) / freq;
ostringstream ss;
ss << "FPS: " << 1000/time << " ; time: " << time << " ms";
putText(frame, ss.str(), Point(20,20), 0, 0.5, Scalar(0,0,255));
float confidenceThreshold = parser.get<float>("min_confidence");
for (int i = 0; i < detectionMat.rows; i++)
@@ -163,10 +163,10 @@ int main(int argc, char** argv)
String label = String(classNamesVec[objectClass]) + ": " + conf;
int baseLine = 0;
Size labelSize = getTextSize(label, FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);
rectangle(frame, Rect(Point(xLeftBottom, yLeftBottom - labelSize.height),
rectangle(frame, Rect(Point(xLeftBottom, yLeftBottom ),
Size(labelSize.width, labelSize.height + baseLine)),
Scalar(255, 255, 255), CV_FILLED);
putText(frame, label, Point(xLeftBottom, yLeftBottom),
putText(frame, label, Point(xLeftBottom, yLeftBottom+labelSize.height),
FONT_HERSHEY_SIMPLEX, 0.5, Scalar(0,0,0));
}
else
@@ -181,7 +181,7 @@ int main(int argc, char** argv)
}
}
imshow("detections", frame);
imshow("YOLO: Detections", frame);
if (waitKey(1) >= 0) break;
}