/*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) 2014, 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. // //M*/ #include "opencv2/datasets/or_mnist.hpp" #include "opencv2/datasets/util.hpp" namespace cv { namespace datasets { using namespace std; class OR_mnistImp CV_FINAL : public OR_mnist { public: OR_mnistImp() {} //OR_mnistImp(const string &path); virtual ~OR_mnistImp() {} virtual void load(const string &path) CV_OVERRIDE; private: void loadDataset(const string &path); void loadDatasetPart(const string &imagesFile, const string &labelsFile, unsigned int num, vector< Ptr<Object> > &dataset_); }; /*OR_mnistImp::OR_mnistImp(const string &path) { loadDataset(path); }*/ void OR_mnistImp::load(const string &path) { loadDataset(path); } void OR_mnistImp::loadDatasetPart(const string &imagesFile, const string &labelsFile, unsigned int num, vector< Ptr<Object> > &dataset_) { FILE *f = fopen(imagesFile.c_str(), "rb"); fseek(f, 16, SEEK_CUR); unsigned int imageSize = 28*28; char *images = new char[num*imageSize]; size_t res = fread(images, 1, num*imageSize, f); fclose(f); if (num*imageSize != res) { delete[] images; return; } f = fopen(labelsFile.c_str(), "rb"); fseek(f, 8, SEEK_CUR); char *labels = new char[num]; res = fread(labels, 1, num, f); fclose(f); if (num != res) { delete[] images; delete[] labels; return; } for (unsigned int i=0; i<num; ++i) { Ptr<OR_mnistObj> curr(new OR_mnistObj); curr->label = labels[i]; curr->image = Mat(28, 28, CV_8U); unsigned int imageIdx = i*imageSize; for (int j=0; j<curr->image.rows; ++j) { char *im = curr->image.ptr<char>(j); for (int k=0; k<curr->image.cols; ++k) { im[k] = images[imageIdx + j*28 + k]; } } dataset_.push_back(curr); } delete[] images; delete[] labels; } void OR_mnistImp::loadDataset(const string &path) { train.push_back(vector< Ptr<Object> >()); test.push_back(vector< Ptr<Object> >()); validation.push_back(vector< Ptr<Object> >()); string trainImagesFile(path + "train-images.idx3-ubyte"); string trainLabelsFile(path + "train-labels.idx1-ubyte"); loadDatasetPart(trainImagesFile, trainLabelsFile, 60000, train.back()); string testImagesFile(path + "t10k-images.idx3-ubyte"); string testLabelsFile(path + "t10k-labels.idx1-ubyte"); loadDatasetPart(testImagesFile, testLabelsFile, 10000, test.back()); } Ptr<OR_mnist> OR_mnist::create() { return Ptr<OR_mnistImp>(new OR_mnistImp); } } }