Skip to content

detector complete #96

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

detector complete #96

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
80ca765
detector complete
pavelkumbrasev Oct 1, 2018
9fba5c3
some fix in detector
pavelkumbrasev Oct 2, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 13 additions & 0 deletions include/detection.hpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,8 @@
#include <string>

#include "opencv2/core/core.hpp"
#include "opencv2/opencv.hpp"


class Detector {
public:
Expand All @@ -12,3 +14,14 @@ class Detector {
virtual void Detect(const cv::Mat& frame, std::vector<cv::Rect>& objects,
std::vector<double>& scores) = 0;
};


class CascadeDetector : public Detector {
protected:
cv::CascadeClassifier detector;

public:
bool Init(const std::string& model_file_path) override;
void Detect(const cv::Mat& frame, std::vector<cv::Rect>& objects,
std::vector<double>& scores) override;
};
180 changes: 180 additions & 0 deletions logo/cascade.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,180 @@
<?xml version="1.0"?>
<opencv_storage>
<cascade>
<stageType>BOOST</stageType>
<featureType>HAAR</featureType>
<height>32</height>
<width>32</width>
<stageParams>
<boostType>GAB</boostType>
<minHitRate>9.9500000476837158e-01</minHitRate>
<maxFalseAlarm>1.0000000149011612e-01</maxFalseAlarm>
<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
<maxDepth>1</maxDepth>
<maxWeakCount>100</maxWeakCount></stageParams>
<featureParams>
<maxCatCount>0</maxCatCount>
<featSize>1</featSize>
<mode>BASIC</mode></featureParams>
<stageNum>4</stageNum>
<stages>
<!-- stage 0 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>9.9600797891616821e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 7 -1.7688340740278363e-03</internalNodes>
<leafValues>
9.9600797891616821e-01 -1.</leafValues></_></weakClassifiers></_>
<!-- stage 1 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>-2.6523093692958355e-03</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 1 1.8934525549411774e-02</internalNodes>
<leafValues>
-9.5247524976730347e-01 9.7171717882156372e-01</leafValues></_>
<_>
<internalNodes>
0 -1 10 2.6852805167436600e-02</internalNodes>
<leafValues>
-9.7436946630477905e-01 9.5748162269592285e-01</leafValues></_></weakClassifiers></_>
<!-- stage 2 -->
<_>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-3.0785626173019409e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 9 4.7774590551853180e-02</internalNodes>
<leafValues>
-9.5717346668243408e-01 8.3864915370941162e-01</leafValues></_>
<_>
<internalNodes>
0 -1 0 1.0246830061078072e-02</internalNodes>
<leafValues>
-9.2844742536544800e-01 8.5343450307846069e-01</leafValues></_>
<_>
<internalNodes>
0 -1 2 -2.2323392331600189e-02</internalNodes>
<leafValues>
7.4373298883438110e-01 -8.7865394353866577e-01</leafValues></_>
<_>
<internalNodes>
0 -1 6 2.2783260792493820e-03</internalNodes>
<leafValues>
-9.9281847476959229e-01 6.6059595346450806e-01</leafValues></_></weakClassifiers></_>
<!-- stage 3 -->
<_>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-3.2509520649909973e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 3 2.2154441103339195e-03</internalNodes>
<leafValues>
-8.5714286565780640e-01 8.2352942228317261e-01</leafValues></_>
<_>
<internalNodes>
0 -1 8 1.8704606220126152e-02</internalNodes>
<leafValues>
-9.6440863609313965e-01 7.2768908739089966e-01</leafValues></_>
<_>
<internalNodes>
0 -1 5 -8.6188763380050659e-03</internalNodes>
<leafValues>
6.9022244215011597e-01 -9.2877584695816040e-01</leafValues></_>
<_>
<internalNodes>
0 -1 4 -3.9481376297771931e-03</internalNodes>
<leafValues>
7.3313444852828979e-01 -8.5507124662399292e-01</leafValues></_></weakClassifiers></_></stages>
<features>
<_>
<rects>
<_>
4 19 9 2 -1.</_>
<_>
7 19 3 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 16 8 8 -1.</_>
<_>
5 16 4 4 2.</_>
<_>
9 20 4 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 12 6 9 -1.</_>
<_>
9 12 3 9 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 18 3 1 -1.</_>
<_>
7 18 1 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 22 6 4 -1.</_>
<_>
6 22 3 2 2.</_>
<_>
9 24 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 16 2 9 -1.</_>
<_>
13 19 2 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 17 3 1 -1.</_>
<_>
14 17 1 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 15 2 1 -1.</_>
<_>
15 15 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
17 11 4 14 -1.</_>
<_>
17 18 4 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 12 9 9 -1.</_>
<_>
22 12 3 9 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
22 14 8 14 -1.</_>
<_>
22 14 4 7 2.</_>
<_>
26 21 4 7 2.</_></rects>
<tilted>0</tilted></_></features></cascade>
</opencv_storage>
19 changes: 19 additions & 0 deletions logo/params.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,19 @@
<?xml version="1.0"?>
<opencv_storage>
<params>
<stageType>BOOST</stageType>
<featureType>HAAR</featureType>
<height>32</height>
<width>32</width>
<stageParams>
<boostType>GAB</boostType>
<minHitRate>9.9500000476837158e-01</minHitRate>
<maxFalseAlarm>1.0000000149011612e-01</maxFalseAlarm>
<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
<maxDepth>1</maxDepth>
<maxWeakCount>100</maxWeakCount></stageParams>
<featureParams>
<maxCatCount>0</maxCatCount>
<featSize>1</featSize>
<mode>BASIC</mode></featureParams></params>
</opencv_storage>
12 changes: 12 additions & 0 deletions logo/stage0.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,12 @@
<?xml version="1.0"?>
<opencv_storage>
<stage0>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>9.9600797891616821e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 360442 -1.7688340740278363e-03</internalNodes>
<leafValues>
9.9600797891616821e-01 -1.</leafValues></_></weakClassifiers></stage0>
</opencv_storage>
17 changes: 17 additions & 0 deletions logo/stage1.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
<?xml version="1.0"?>
<opencv_storage>
<stage1>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>-2.6523093692958355e-03</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 166367 1.8934525549411774e-02</internalNodes>
<leafValues>
-9.5247524976730347e-01 9.7171717882156372e-01</leafValues></_>
<_>
<internalNodes>
0 -1 466264 2.6852805167436600e-02</internalNodes>
<leafValues>
-9.7436946630477905e-01 9.5748162269592285e-01</leafValues></_></weakClassifiers></stage1>
</opencv_storage>
27 changes: 27 additions & 0 deletions logo/stage2.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
<?xml version="1.0"?>
<opencv_storage>
<stage2>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-3.0785626173019409e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 432787 4.7774590551853180e-02</internalNodes>
<leafValues>
-9.5717346668243408e-01 8.3864915370941162e-01</leafValues></_>
<_>
<internalNodes>
0 -1 142016 1.0246830061078072e-02</internalNodes>
<leafValues>
-9.2844742536544800e-01 8.5343450307846069e-01</leafValues></_>
<_>
<internalNodes>
0 -1 188405 -2.2323392331600189e-02</internalNodes>
<leafValues>
7.4373298883438110e-01 -8.7865394353866577e-01</leafValues></_>
<_>
<internalNodes>
0 -1 343658 2.2783260792493820e-03</internalNodes>
<leafValues>
-9.9281847476959229e-01 6.6059595346450806e-01</leafValues></_></weakClassifiers></stage2>
</opencv_storage>
27 changes: 27 additions & 0 deletions logo/stage3.xml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
<?xml version="1.0"?>
<opencv_storage>
<stage3>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-3.2509520649909973e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 193289 2.2154441103339195e-03</internalNodes>
<leafValues>
-8.5714286565780640e-01 8.2352942228317261e-01</leafValues></_>
<_>
<internalNodes>
0 -1 405647 1.8704606220126152e-02</internalNodes>
<leafValues>
-9.6440863609313965e-01 7.2768908739089966e-01</leafValues></_>
<_>
<internalNodes>
0 -1 343163 -8.6188763380050659e-03</internalNodes>
<leafValues>
6.9022244215011597e-01 -9.2877584695816040e-01</leafValues></_>
<_>
<internalNodes>
0 -1 195738 -3.9481376297771931e-03</internalNodes>
<leafValues>
7.3313444852828979e-01 -8.5507124662399292e-01</leafValues></_></weakClassifiers></stage3>
</opencv_storage>
71 changes: 71 additions & 0 deletions samples/detection_demo.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,71 @@
#include <iostream>
#include "detection.hpp"

using namespace std;
using namespace cv;

const char* kOptions =
"{ i image | <none> | image to process }"
"{ v video | <none> | video to process }"
"{ c camera | <none> | camera to get video from }"
"{ m model | <none> | path to detector file }"
"{ h ? help usage | | print help message }";

void DetectOnVideo(VideoCapture vid, CascadeDetector &detector) {
std::vector<cv::Rect> objects;
std::vector<double> scores;
while (true) {
Mat frame;
bool successRead = vid.read(frame);
if (!successRead) break;
detector.Detect(frame, objects, scores);
for (auto obj : objects)
rectangle(frame, obj, Scalar(250, 150, 10));
imshow("Result", frame);
if (waitKey(10) == 27) break;
}
}


int main(int argc, const char** argv) {
// Parse command line arguments.
CommandLineParser parser(argc, argv, kOptions);

// If help option is given, print help message and exit.
if (parser.get<bool>("h")) {
parser.printMessage();
return 0;
}

CascadeDetector detector;
std::vector<cv::Rect> objects;
std::vector<double> scores;
if (parser.has("m")) detector.Init(parser.get<std::string>("m"));

if (parser.has("i")) {
Mat img = imread(parser.get<std::string>("i"));
detector.Detect(img, objects, scores);
for (int i = 0; i < objects.size(); ++i){
namedWindow("Result");
rectangle(img, objects[i], Scalar(250, 150, 10));
imshow("Result", img);
}
}
else if (parser.has("v")) {
VideoCapture video(parser.get<std::string>("v"));
DetectOnVideo(video, detector);
video.release();
}
else if (parser.has("c")) {

VideoCapture cap(0);
if (!cap.isOpened())
return -1;
DetectOnVideo(cap, detector);
cap.release();
}

waitKey(0);

return 0;
}
Loading