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https://github.com/opencv/opencv_contrib.git
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7f7b0bc181
The following data types for attributes are implemented: - int - double - cv::String - cv::InputArray
132 lines
3.3 KiB
C++
132 lines
3.3 KiB
C++
/**
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* @file create_read_write_datasets.cpp
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* @author Fangjun Kuang <csukuangfj dot at gmail dot com>
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* @date December 2017
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*
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* @brief It demonstrates how to create a dataset, how
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* to write a cv::Mat to the dataset and how to
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* read a cv::Mat from it.
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*
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*/
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//! [tutorial]
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#include <iostream>
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#include <opencv2/core.hpp>
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#include <opencv2/hdf.hpp>
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using namespace cv;
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static void write_root_group_single_channel()
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{
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String filename = "root_group_single_channel.h5";
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String dataset_name = "/single"; // Note that it is a child of the root group /
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// prepare data
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Mat data;
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data = (cv::Mat_<float>(2, 3) << 0, 1, 2, 3, 4, 5, 6);
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//! [tutorial_open_file]
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Ptr<hdf::HDF5> h5io = hdf::open(filename);
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//! [tutorial_open_file]
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//! [tutorial_write_root_single_channel]
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// write data to the given dataset
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// the dataset "/single" is created automatically, since it is a child of the root
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h5io->dswrite(data, dataset_name);
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//! [tutorial_write_root_single_channel]
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//! [tutorial_read_dataset]
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Mat expected;
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h5io->dsread(expected, dataset_name);
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//! [tutorial_read_dataset]
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//! [tutorial_check_result]
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double diff = norm(data - expected);
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CV_Assert(abs(diff) < 1e-10);
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//! [tutorial_check_result]
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h5io->close();
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}
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static void write_single_channel()
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{
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String filename = "single_channel.h5";
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String parent_name = "/data";
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String dataset_name = parent_name + "/single";
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// prepare data
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Mat data;
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data = (cv::Mat_<float>(2, 3) << 0, 1, 2, 3, 4, 5);
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Ptr<hdf::HDF5> h5io = hdf::open(filename);
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//! [tutorial_create_dataset]
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// first we need to create the parent group
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if (!h5io->hlexists(parent_name)) h5io->grcreate(parent_name);
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// create the dataset if it not exists
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if (!h5io->hlexists(dataset_name)) h5io->dscreate(data.rows, data.cols, data.type(), dataset_name);
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//! [tutorial_create_dataset]
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// the following is the same with the above function write_root_group_single_channel()
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h5io->dswrite(data, dataset_name);
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Mat expected;
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h5io->dsread(expected, dataset_name);
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double diff = norm(data - expected);
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CV_Assert(abs(diff) < 1e-10);
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h5io->close();
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}
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/*
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* creating, reading and writing multiple-channel matrices
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* are the same with single channel matrices
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*/
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static void write_multiple_channels()
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{
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String filename = "two_channels.h5";
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String parent_name = "/data";
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String dataset_name = parent_name + "/two_channels";
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// prepare data
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Mat data(2, 3, CV_32SC2);
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for (size_t i = 0; i < data.total()*data.channels(); i++)
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((int*) data.data)[i] = (int)i;
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Ptr<hdf::HDF5> h5io = hdf::open(filename);
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// first we need to create the parent group
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if (!h5io->hlexists(parent_name)) h5io->grcreate(parent_name);
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// create the dataset if it not exists
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if (!h5io->hlexists(dataset_name)) h5io->dscreate(data.rows, data.cols, data.type(), dataset_name);
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// the following is the same with the above function write_root_group_single_channel()
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h5io->dswrite(data, dataset_name);
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Mat expected;
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h5io->dsread(expected, dataset_name);
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double diff = norm(data - expected);
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CV_Assert(abs(diff) < 1e-10);
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h5io->close();
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}
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int main()
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{
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write_root_group_single_channel();
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write_single_channel();
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write_multiple_channels();
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return 0;
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}
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//! [tutorial]
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