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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2015, Itseez Inc, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Itseez Inc or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
// Author: Jiaolong Xu <jiaolongxu AT gmail.com>
//M*/
#include <opencv2/dpm.hpp>
#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <stdio.h>
#include <iostream>
#include <fstream>
using namespace cv;
using namespace cv::dpm;
using namespace std;
int save_results(const string id, const vector<DPMDetector::ObjectDetection> ds, ofstream &out);
static void help()
{
cout << "\nThis example shows object detection on image sequences using \"Deformable Part-based Model (DPM) cascade detection API\n"
"Call:\n"
"./example_dpm_cascade_detect_sequence <model_path> <image_dir>\n"
"The image names has to be provided in \"files.txt\" under <image_dir>.\n"
<< endl;
}
static bool readImageLists( const string &file, vector<string> &imgFileList)
{
ifstream in(file.c_str(), ios::binary);
if (in.is_open())
{
while (in)
{
string line;
getline(in, line);
imgFileList.push_back(line);
}
return true;
}
else
{
cerr << "Invalid image index file: " << file << endl;
return false;
}
}
void drawBoxes(Mat &frame,
vector<DPMDetector::ObjectDetection> ds,
Scalar color,
string text);
int main( int argc, char** argv )
{
const char* keys =
{
"{@model_path | | Path of the DPM cascade model}"
"{@image_dir | | Directory of the images }"
};
CommandLineParser parser(argc, argv, keys);
string model_path(parser.get<string>(0));
string image_dir(parser.get<string>(1));
string image_list = image_dir + "/files.txt";
if( model_path.empty() || image_dir.empty() )
{
help();
return -1;
}
vector<string> imgFileList;
if ( !readImageLists(image_list, imgFileList) )
return -1;
#ifdef HAVE_TBB
cout << "Running with TBB" << endl;
#else
#ifdef _OPENMP
cout << "Running with OpenMP" << endl;
#else
cout << "Running without OpenMP and without TBB" << endl;
#endif
#endif
cv::Ptr<DPMDetector> detector = \
DPMDetector::create(vector<string>(1, model_path));
namedWindow("DPM Cascade Detection", 1);
// the color of the rectangle
Scalar color(0, 255, 255); // yellow
Mat frame;
for (size_t i = 0; i < imgFileList.size(); i++)
{
double t = (double) getTickCount();
vector<DPMDetector::ObjectDetection> ds;
Mat image = imread(image_dir + "/" + imgFileList[i]);
frame = image.clone();
if (image.empty()) {
cerr << "\nInvalid image:\n" << imgFileList[i] << endl;
return -1;
}
// detection
detector->detect(image, ds);
// compute frame per second (fps)
t = ((double) getTickCount() - t)/getTickFrequency();//elapsed time
// draw boxes
string text = format("%0.1f fps", 1.0/t);
drawBoxes(frame, ds, color, text);
// show detections
imshow("DPM Cascade Detection", frame);
if ( waitKey(30) >= 0)
break;
}
return 0;
}
void drawBoxes(Mat &frame, \
vector<DPMDetector::ObjectDetection> ds, Scalar color, string text)
{
for (unsigned int i = 0; i < ds.size(); i++)
{
rectangle(frame, ds[i].rect, color, 2);
}
// draw text on image
Scalar textColor(0,0,250);
putText(frame, text, Point(10,50), FONT_HERSHEY_PLAIN, 2, textColor, 2);
}