Пример #1
0
int Detector::detect(const Mat &image, int max_num, CB_RectT *pt_rects, int &subwin_count)
{
	int image_w = image.cols;
	int image_h = image.rows;

	int feature_types = ptr_model->p_ft_param->getFeatureTypes();
	IntegralImage intg;
	intg.init(image_w, image_h, feature_types);
	intg.compute(image.data);

	int num = detect(intg, max_num, pt_rects, subwin_count);
	return num;
}
int PositiveExtractor::extractSamples(const TrainParamsT *pt_params)
{
	IntegralImage intg;

	_chdir(pt_params->positive_pool_dir.c_str());
	CFileFind file_finder;
    bool is_working = file_finder.FindFile();
	int count = 0;
	while (is_working)
	{
		is_working = file_finder.FindNextFile();
		string file_name = file_finder.GetFileName();
		string file_path = file_finder.GetFilePath();

		if (file_name == "." || file_name == ".."|| file_name == "Thumbs.db")
		{
			continue;
		}

		printf("%s\n", file_path.c_str());

		Mat image = imread(file_path, CV_LOAD_IMAGE_GRAYSCALE);
		if (image.data == NULL)
		{
			continue;
		}

		int width = image.cols;
		int height = image.rows;

		if (width < pt_params->template_w || height < pt_params->template_h)
		{
			continue;
		}
	
		intg.init(width, height, pt_params->feature_type);
		intg.compute(image.data);
		intg.save(pt_params->positive_data_path);
		count++;
 	}
	return count;
}