mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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74 lines
2.1 KiB
74 lines
2.1 KiB
15 years ago
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#! /usr/bin/env python
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"""
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This script checks the OpenCV headers to find methods that take double pointers
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to OpenCV data structures as in/out parameters.
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These methods need a special treatment and therefore SWIG typemaps are generated.
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"""
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import sys
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def convert_name(str):
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count = 0
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if (str[0:2] == "_p"):
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p,s = convert_name(str[2:])
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return(('*' + p),s)
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return ('',str[1:])
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if (sys.argv.__len__() < 1):
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sys.exit(1)
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infile = open(sys.argv[1],'r')
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lines = infile.readlines()
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infile.close()
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foundit = 0
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mytypes = []
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for line in lines:
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if (foundit == 0):
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if (line.find('TYPES TABLE (BEGIN') > -1):
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foundit = 1
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else:
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if (line.find('TYPES TABLE (END)') > -1):
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foundit = 0
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else:
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stuff = line.split()
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if (stuff.__len__() >= 3):
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if (stuff[0] == "#define"):
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mytypes.append(stuff[1][8:])
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print """
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/*//////////////////////////////////////////////////////////////////////////////////////////////////
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// This file was automatically generated from the extract_doublepointers.py script found in the
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// 'utils' subdirectory of the OpenCV distribution. Run it on the .cpp file generated by swig to
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// generate the double pointer typemaps
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/////////////////////////////////////////////////////////////////////////////////////////////////M*/
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"""
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for mytype in mytypes:
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p,s = convert_name(mytype)
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if (p.__len__() >= 2):
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print '%typemap(in)',s,p,' (void * vptr, $*1_ltype buffer) {'
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print '\tif ((SWIG_ConvertPtr($input, &vptr, $*1_descriptor, 1)) == -1){'
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print '\t\tSWIG_fail;';
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print '\t}'
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print '\tbuffer = ($*1_ltype) vptr;'
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print '\t$1=&buffer;'
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print '}'
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#rez = "" + s + " " + p + 'getPtrTo' + s + '( ' + s + ' ' + p[1:] + 'input)'
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#sys.stdout.write(rez)
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#sys.stdout.write('\n{\n\t' + s + ' ' + p + 'rez = new ' + s + p[1:] + '();')
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#sys.stdout.write('\n\t*rez =input;\n\treturn(rez);\n}\n')
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#sys.stdout.write(rez)
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#sys.stdout.write(';\n')
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# else:
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# print '/* No conversions needed for type ', s, ' */'
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