/*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/gr_chalearn.hpp" #include #include #include #include using namespace std; using namespace cv; using namespace cv::datasets; int main(int argc, char *argv[]) { const char *keys = "{ help h usage ? | | show this message }" "{ path p |true| path to dataset folder }"; CommandLineParser parser(argc, argv, keys); string path(parser.get("path")); if (parser.has("help") || path=="true") { parser.printMessage(); return -1; } Ptr dataset = GR_chalearn::create(); dataset->load(path); // *************** // dataset contains information for each sample. // For example, let output dataset size and first element. printf("train size: %u\n", (unsigned int)dataset->getTrain().size()); printf("validation size: %u\n", (unsigned int)dataset->getValidation().size()); GR_chalearnObj *example = static_cast(dataset->getTrain()[0].get()); printf("first dataset sample:\n%s\n", example->name.c_str()); printf("color video:\n%s\n", example->nameColor.c_str()); printf("depth video:\n%s\n", example->nameDepth.c_str()); printf("user video:\n%s\n", example->nameUser.c_str()); printf("video:\nnumber of frames: %u\nfps: %u\nmaximum depth: %u\n", example->numFrames, example->fps, example->depth); for (vector::iterator it=example->groundTruths.begin(); it!=example->groundTruths.end(); ++it) { printf("gestureID: %u, initial frame: %u, last frame: %u\n", (*it).gestureID, (*it).initialFrame, (*it).lastFrame); } printf("skeletons number: %u\n", (unsigned int)example->skeletons.size()); skeleton &last = example->skeletons.back(); printf("last skeleton:\n"); for (unsigned int i=0; i<20; ++i) { printf("Wx: %f, Wy: %f, Wz: %f, Rx: %f, Ry: %f, Rz: %f, Rw: %f, Px: %f, Py: %f\n", last.s[i].Wx, last.s[i].Wy, last.s[i].Wz, last.s[i].Rx, last.s[i].Ry, last.s[i].Rz, last.s[i].Rw, last.s[i].Px, last.s[i].Py); } return 0; }