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Wrote relevant docs.
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#!/usr/bin/env python
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"""
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This script can generate XLS reports from OpenCV tests' XML output files.
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To use it, first, create a directory for each machine you ran tests on.
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Each such directory will become a sheet in the report. Put each XML file
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into the corresponding directory.
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Then, create your configuration file(s). You can have a global configuration
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file (specified with the -c option), and per-sheet configuration files, which
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must be called sheet.conf and placed in the directory corresponding to the sheet.
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The settings in the per-sheet configuration file will override those in the
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global configuration file, if both are present.
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A configuration file must consist of a Python dictionary. The following keys
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will be recognized:
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* 'comparisons': [{'from': string, 'to': string}]
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List of configurations to compare performance between. For each item,
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the sheet will have a column showing speedup from configuration named
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'from' to configuration named "to".
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* 'configuration_matchers': [{'properties': {string: object}, 'name': string}]
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Instructions for matching test run property sets to configuration names.
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For each found XML file:
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1) All attributes of the root element starting with the prefix 'cv_' are
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placed in a dictionary, with the cv_ prefix stripped and the cv_module_name
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element deleted.
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2) The first matcher for which the XML's file property set contains the same
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keys with equal values as its 'properties' dictionary is searched for.
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A missing property can be matched by using None as the value.
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Corollary 1: you should place more specific matchers before less specific
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ones.
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Corollary 2: an empty 'properties' dictionary matches every property set.
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3) If a matching matcher is found, its 'name' string is presumed to be the name
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of the configuration the XML file corresponds to. Otherwise, a warning is
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printed. A warning is also printed if two different property sets match to the
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same configuration name.
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* 'configurations': [string]
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List of names for compile-time and runtime configurations of OpenCV.
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Each item will correspond to a column of the sheet.
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* 'module_colors': {string: string}
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Mapping from module name to color name. In the sheet, cells containing module
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names from this mapping will be colored with the corresponding color. You can
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find the list of available colors here:
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<http://www.simplistix.co.uk/presentations/python-excel.pdf>.
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* 'sheet_name': string
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Name for the sheet. If this parameter is missing, the name of sheet's directory
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will be used.
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Note that all keys are optional, although to get useful results, you'll want to
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specify at least 'configurations' and 'configuration_matchers'.
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Finally, run the script. Use the --help option for usage information.
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"""
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from __future__ import division
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import ast
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@ -18,21 +82,6 @@ import xlwt
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from testlog_parser import parseLogFile
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# To build XLS report you neet to put your xmls (OpenCV tests output) in the
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# following way:
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#
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# "root" --- folder, representing the whole XLS document. It contains several
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# subfolders --- sheet-paths of the XLS document. Each sheet-path contains it's
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# subfolders --- config-paths. Config-paths are columns of the sheet and
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# they contains xmls files --- output of OpenCV modules testing.
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# Config-path means OpenCV build configuration, including different
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# options such as NEON, TBB, GPU enabling/disabling.
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#
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# root
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# root\sheet_path
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# root\sheet_path\configuration1 (column 1)
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# root\sheet_path\configuration2 (column 2)
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re_image_size = re.compile(r'^ \d+ x \d+$', re.VERBOSE)
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re_data_type = re.compile(r'^ (?: 8 | 16 | 32 | 64 ) [USF] C [1234] $', re.VERBOSE)
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