SlidingWindow.cpp

#include <Windows.h>
#include <iostream>

#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>

#include <opencv2/video/background_segm.hpp>
#include <opencv2\video\tracking.hpp>

int main(int argc, char** argv)
{
	// Load input image
	cv::Mat LoadedImage;
	LoadedImage = cv::imread("lena.jpg", cv::IMREAD_COLOR);
	
	std::cout << "Number of width:" << LoadedImage.rows << std::endl;
	std::cout << "Number of height:" << LoadedImage.cols << std::endl;
	
	// Show the input image
	cv::namedWindow("InputImage", cv::WINDOW_AUTOSIZE);
	cv::imshow("InputImage", LoadedImage);
	cv::waitKey(1000);

	// Parameters for the sliding window
	int windows_n_rows = 40;
	int windows_n_cols = 40;
	// Step of each window
	int StepSlide = 40;

	// Copy Loaded image
	cv::Mat DrawResultGrid = LoadedImage.clone();

	// Cycle row step
	// Note the end condition: the rectange is drawn by left-top position
	for (int row = 0; row <= LoadedImage.rows - windows_n_rows; row += StepSlide)
	{
		// Cycle col step
		for (int col = 0; col <= LoadedImage.cols - windows_n_cols; col += StepSlide)
		{
			// 顔検出とか物体検出とかするときはここに処理を書く

			// resulting window   
			cv::Rect windows(col, row, windows_n_rows, windows_n_cols);

			cv::Mat DrawResultHere = LoadedImage.clone();

			// Draw only rectangle
			cv::rectangle(DrawResultHere, windows, cv::Scalar(255), 1, 8, 0);
			// Draw grid
			cv::rectangle(DrawResultGrid, windows, cv::Scalar(255), 1, 8, 0);
			
			// Selected windows roi
			cv::Mat roi = LoadedImage(windows);
			// Show  rectangle
			cv::namedWindow("Step 2 draw Rectangle", cv::WINDOW_AUTOSIZE);
			cv::namedWindow("ROI", cv::WINDOW_AUTOSIZE);
			cv::imshow("Step 2 draw Rectangle", DrawResultHere);
			cv::imshow("ROI", roi);
			cv::waitKey(100);
		}
	}

	return 0;
}