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https://github.com/opencv/opencv_contrib.git
synced 2025-10-20 04:25:42 +08:00
updated or_sun dataset loader
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@@ -43,6 +43,8 @@
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#include "opencv2/datasets/util.hpp"
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#include "precomp.hpp"
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#include <map>
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namespace cv
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{
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namespace datasets
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@@ -61,6 +63,10 @@ public:
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private:
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void loadDataset(const string &path);
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void loadDatasetPart(const string &path, vector< Ptr<Object> > &dataset_);
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map<string, int> pathLabel;
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};
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/*OR_sunImp::OR_sunImp(const string &path)
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@@ -73,13 +79,40 @@ void OR_sunImp::load(const string &path)
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loadDataset(path);
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}
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void OR_sunImp::loadDatasetPart(const string &path, vector< Ptr<Object> > &dataset_)
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{
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string line;
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ifstream infile(path.c_str());
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while (getline(infile, line))
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{
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Ptr<OR_sunObj> curr(new OR_sunObj);
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curr->label = 397;
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curr->name = line;
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size_t pos = curr->name.rfind('/');
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if (pos != string::npos)
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{
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string labelStr(curr->name.substr(0, pos+1));
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map<string, int>::iterator it = pathLabel.find(labelStr);
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if (it != pathLabel.end())
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{
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curr->label = (*it).second;
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} else
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{
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curr->label = pathLabel.size();
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pathLabel.insert(make_pair(labelStr, curr->label));
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paths.push_back(labelStr);
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}
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curr->name = curr->name.substr(pos+1);
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}
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dataset_.push_back(curr);
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}
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}
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void OR_sunImp::loadDataset(const string &path)
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{
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train.push_back(vector< Ptr<Object> >());
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test.push_back(vector< Ptr<Object> >());
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validation.push_back(vector< Ptr<Object> >());
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string classNameFile(path + "ClassName.txt");
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/*string classNameFile(path + "ClassName.txt");
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ifstream infile(classNameFile.c_str());
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string line;
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while (getline(infile, line))
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@@ -96,6 +129,29 @@ void OR_sunImp::loadDataset(const string &path)
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}
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train.back().push_back(curr);
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}*/
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for (unsigned int i=1; i<=10; ++i)
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{
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char tmp[3];
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sprintf(tmp, "%u", i);
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string numStr;
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if (i<10)
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{
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numStr = string("0") + string(tmp);
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} else
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{
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numStr = tmp;
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}
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string trainFile(path + "Partitions/Training_" + numStr + ".txt");
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string testFile(path + "Partitions/Testing_" + numStr + ".txt");
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train.push_back(vector< Ptr<Object> >());
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test.push_back(vector< Ptr<Object> >());
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validation.push_back(vector< Ptr<Object> >());
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loadDatasetPart(trainFile, train.back());
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loadDatasetPart(testFile, test.back());
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}
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}
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