Open Source Computer Vision Library https://opencv.org/
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#include <sft/dataset.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
#include <queue>
// in the default case data folders should be aligned as following:
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// 1. positives: <train or test path>/octave_<octave number>/pos/*.png
// 2. negatives: <train or test path>/octave_<octave number>/neg/*.png
sft::ScaledDataset::ScaledDataset(const string& path, const int oct)
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{
dprintf("%s\n", "get dataset file names...");
dprintf("%s\n", "Positives globing...");
cv::glob(path + "/pos/octave_" + cv::format("%d", oct) + "/*.png", pos);
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dprintf("%s\n", "Negatives globing...");
cv::glob(path + "/neg/octave_" + cv::format("%d", oct) + "/*.png", neg);
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// Check: files not empty
CV_Assert(pos.size() != size_t(0));
CV_Assert(neg.size() != size_t(0));
}
cv::Mat sft::ScaledDataset::get(SampleType type, int idx) const
{
const std::string& src = (type == POSITIVE)? pos[idx]: neg[idx];
return cv::imread(src);
}
int sft::ScaledDataset::available(SampleType type) const
{
return (int)((type == POSITIVE)? pos.size():neg.size());
}
sft::ScaledDataset::~ScaledDataset(){}