vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2014, Itseez Inc, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Itseez Inc or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "opencv2/datasets/gr_chalearn.hpp"
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#include <opencv2/core.hpp>
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#include <cstdio>
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#include <string>
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#include <vector>
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using namespace std;
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using namespace cv;
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using namespace cv::datasets;
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int main(int argc, char *argv[])
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{
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const char *keys =
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"{ help h usage ? | | show this message }"
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"{ path p |true| path to dataset folder }";
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CommandLineParser parser(argc, argv, keys);
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string path(parser.get<string>("path"));
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if (parser.has("help") || path=="true")
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{
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parser.printMessage();
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return -1;
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}
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Ptr<GR_chalearn> dataset = GR_chalearn::create();
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dataset->load(path);
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// ***************
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// dataset contains information for each sample.
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// For example, let output dataset size and first element.
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printf("train size: %u\n", (unsigned int)dataset->getTrain().size());
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printf("validation size: %u\n", (unsigned int)dataset->getValidation().size());
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GR_chalearnObj *example = static_cast<GR_chalearnObj *>(dataset->getTrain()[0].get());
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printf("first dataset sample:\n%s\n", example->name.c_str());
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printf("color video:\n%s\n", example->nameColor.c_str());
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printf("depth video:\n%s\n", example->nameDepth.c_str());
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printf("user video:\n%s\n", example->nameUser.c_str());
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printf("video:\nnumber of frames: %u\nfps: %u\nmaximum depth: %u\n", example->numFrames, example->fps, example->depth);
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for (vector<groundTruth>::iterator it=example->groundTruths.begin(); it!=example->groundTruths.end(); ++it)
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{
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printf("gestureID: %u, initial frame: %u, last frame: %u\n", (*it).gestureID, (*it).initialFrame, (*it).lastFrame);
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}
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printf("skeletons number: %u\n", (unsigned int)example->skeletons.size());
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skeleton &last = example->skeletons.back();
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printf("last skeleton:\n");
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for (unsigned int i=0; i<20; ++i)
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{
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printf("Wx: %f, Wy: %f, Wz: %f, Rx: %f, Ry: %f, Rz: %f, Rw: %f, Px: %f, Py: %f\n",
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last.s[i].Wx, last.s[i].Wy, last.s[i].Wz, last.s[i].Rx,
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last.s[i].Ry, last.s[i].Rz, last.s[i].Rw, last.s[i].Px, last.s[i].Py);
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}
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return 0;
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}
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