vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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Reading and Writing Attributes{#tutorial_hdf_read_write_attributes}
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===============================
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Goal
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----
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This tutorial shows you:
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- How to write attributes?
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- How to read attributes?
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@note Although attributes can be associated with groups and datasets, only attributes
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with the root group are implemented in OpenCV. Supported attribute types are
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`int`, `double`, `cv::String` and `cv::InputArray` (only for continuous arrays).
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Source Code
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----
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The following code demonstrates reading and writing attributes
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inside the root group with data types `cv::Mat`, `cv::String`, `int`
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and `double`.
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You can download the code from [here][1] or find it in the file
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`modules/hdf/samples/read_write_attributes.cpp` of the opencv_contrib source code library.
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@snippet samples/read_write_attributes.cpp tutorial
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Explanation
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----
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The first step is to open the HDF5 file:
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@snippet samples/read_write_attributes.cpp tutorial_open_file
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Then we use cv::hdf::HDF5::atwrite() to write attributes by specifying its value and name:
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@snippet samples/read_write_attributes.cpp tutorial_write_mat
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@warning Before writing an attribute, we have to make sure that
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the attribute does not exist using cv::hdf::HDF5::atexists().
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To read an attribute, we use cv::hdf::HDF5::atread() by specifying the attribute name
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@snippet samples/read_write_attributes.cpp tutorial_read_mat
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In the end, we have to close the HDF file
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@snippet samples/read_write_attributes.cpp tutorial_close_file
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Results
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----
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Figure 1 and Figure 2 give the results visualized using the tool HDFView.
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[1]: https://github.com/opencv/opencv_contrib/tree/master/modules/hdf/samples/read_write_attributes.cpp
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