chore: import upstream snapshot with attribution
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Using OpenCV with gdb-powered IDEs {#tutorial_linux_gdb_pretty_printer}
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=====================
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@prev_tutorial{tutorial_oneapi_install}
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@next_tutorial{tutorial_linux_gcc_cmake}
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| | |
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| -: | :- |
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| Original author | Egor Smirnov |
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| Compatibility | OpenCV >= 4.0 |
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@tableofcontents
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# Capabilities {#tutorial_linux_gdb_pretty_printer_capabilities}
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This pretty-printer can show element type, `is_continuous`, `is_submatrix` flags and (possibly truncated) matrix. It is known to work in Clion, VS Code and gdb.
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# Installation {#tutorial_linux_gdb_pretty_printer_installation}
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Move into `opencv/samples/gdb/`. Place `mat_pretty_printer.py` in a convenient place, rename `gdbinit` to `.gdbinit` and move it into your home folder. Change 'source' line of `.gdbinit` to point to your `mat_pretty_printer.py` path.
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In order to check version of python bundled with your gdb, use the following commands from the gdb shell:
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python
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import sys
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print(sys.version_info)
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end
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If the version of python 3 installed in your system doesn't match the version in gdb, create a new virtual environment with the exact same version, install `numpy` and change the path to python3 in `.gdbinit` accordingly.
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# Usage {#tutorial_linux_gdb_pretty_printer_usage}
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The fields in a debugger prefixed with `view_` are pseudo-fields added for convenience, the rest are left as is.
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If you feel that the number of elements in truncated view is too low, you can edit `mat_pretty_printer.py` - `np.set_printoptions` controls everything matrix display-related.
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