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Commit 73d4d5d4 authored by Vadim Pisarevsky's avatar Vadim Pisarevsky
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deleted obsolete scripts

parent 8967a128
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utils/check_doc.py deleted 100644 → 0
View file @ 8967a128
#!/usr/bin/env python
"""
Usage: check_doc.py > log.txt
The script parses different opencv modules
(that are described by instances of class Comp below) and
checks for typical errors in headers and docs, for consistence and for completeness.
Due to its simplicity, it falsely reports some bugs, that should be
just ignored.
"""
import sys, os, re, glob
comps = []
class Comp:
def __init__(self,comp_name):
self.name = comp_name
cxcore = Comp('cxcore')
cxcore.header_path = '../cxcore/include'
cxcore.headers = ['cxcore.h','cxtypes.h']
cxcore.ext_macro = 'CVAPI'
cxcore.inline_macro = 'CV_INLINE'
cxcore.func_prefix = 'cv'
cxcore.doc_path = '../docs/ref'
cxcore.docs = ['opencvref_cxcore.htm']
comps.append(cxcore)
cv = Comp('cv')
cv.header_path = '../cv/include'
cv.headers = ['cv.h','cvtypes.h']
cv.ext_macro = 'CVAPI'
cv.inline_macro = 'CV_INLINE'
cv.func_prefix = 'cv'
cv.doc_path = '../docs/ref'
cv.docs = ['opencvref_cv.htm']
comps.append(cv)
highgui = Comp('highgui')
highgui.header_path = '../otherlibs/highgui'
highgui.headers = ['highgui.h']
highgui.ext_macro = 'CVAPI'
highgui.inline_macro = 'CV_INLINE'
highgui.func_prefix = 'cv'
highgui.doc_path = '../docs/ref'
highgui.docs = ['opencvref_highgui.htm']
comps.append(highgui)
def normalize_decl(decl):
decl = re.sub( r'^\((.+?)\)', r'\1', decl)
decl = re.sub( r' CV_DEFAULT\((.+?)\)(,|( *\);))', r'=\1\2', decl)
decl = re.sub( r'\);', r' );', decl )
decl = re.sub( r'\(', r'( ', decl )
decl = re.sub( r'/\*.+?\*/', r'', decl )
decl = re.sub( r'\binline\b', r'', decl )
decl = re.sub( r' +', r' ', decl )
decl = re.sub( r' ?= ?', r'=', decl )
return decl.strip()
def print_report(filename, line_no, msg):
print '%s(%d): %s' % (filename,line_no,msg)
for comp in comps:
print "==================================================="
print 'Checking %s...' % (comp.name,)
header_path = comp.header_path
func_list = {}
if not header_path.endswith('/') and not header_path.endswith('\\'):
header_path += '/'
for header_glob in comp.headers:
glob_expr = header_path + header_glob
for header in glob.glob(glob_expr):
f = open(header,'r')
func_name = ""
mode = line_no = 0 # mode - outside func declaration (0) or inside (1)
for l in f.xreadlines():
line_no += 1
ll = ""
#if re.findall(r'\b([abd-z]|([c][a-uw-z]))[a-z]*[A-Z]', l):
# print_report(header,line_no,"Bad-style identifier:\n\t"+l)
if mode == 0:
if l.startswith(comp.ext_macro):
ll = l[len(comp.ext_macro):]
decl = ""
mode = 1
elif l.startswith(comp.inline_macro):
temp_func_name = re.findall( r'^.+?\b(' + comp.func_prefix + '\w+)', l )
if temp_func_name and temp_func_name[0] != func_name:
ll = l[len(comp.inline_macro):]
decl = ""
mode = 1
else:
ll = l
if ll:
decl += ll.rstrip('\n') + ' '
if ll.find(';') >= 0:
mode = 0
decl = normalize_decl(decl)
func_name = re.findall( r'^.+?\b(' + comp.func_prefix + '\w+)', decl )[0]
if func_list.get(func_name,[]):
print_report(header,line_no,"Duplicated declaration of " + \
func_name + "... ignored")
else:
func_list[func_name] = [decl,header,line_no,0]
else:
mode = 1
f.close()
doc_path = comp.doc_path
if not doc_path.endswith('/') and not doc_path.endswith('\\'):
doc_path += '/'
blurb_re = re.compile( r'^<p class="Blurb"' )
for doc_glob in comp.docs:
glob_expr = doc_path + doc_glob
for doc in glob.glob(glob_expr):
f = open(doc, 'r')
mode = line_no = 0 # mode - 0 outside function declaration, 2 - inside,
# 1 transitional state ('cause <pre> is used not only
# for declaring functions)
for l in f.xreadlines():
line_no += 1
#if re.findall(r'\b([abd-z]|([c][a-uw-z]))[a-z]*[A-Z]', l):
# print_report(doc,line_no,"Bad-style identifier:\n\t" + l)
if mode == 0:
if blurb_re.match(l):
mode = 1
elif mode == 1:
if l.endswith('<pre>\n'):
mode = 2
decl = ""
elif mode == 2:
if l.startswith('</pre>'):
mode = 0
if decl.find('CV_DEFAULT') >= 0:
print_report(doc,line_no,'CV_DEFAULT is used in documentation')
decl = normalize_decl(decl)
decl_list = decl.split(';')
for decl in decl_list:
decl = decl.strip()
if decl:
decl = decl + ';'
#print '***', decl
func_name = re.findall( r'^.+?\b(' + comp.func_prefix + '\w+)\(', decl )
if not func_name: continue
func_name = func_name[0]
decl_info = func_list.get(func_name,[])
if decl_info:
if decl_info[3] == 0:
if decl_info[0] != decl:
print_report(doc,line_no,'Incorrect documentation on ' + func_name + ':')
print ' hdr: ' + decl_info[0]
print ' doc: ' + decl
decl_info[3] = 1
else:
print_report(doc,line_no,'Duplicated documentation on ' + func_name)
else:
print_report(doc,line_no,'The function '+func_name+' is not declared')
elif not l.startswith('#define'):
decl += l.rstrip('\n')
f.close()
print "---------------------------------------------------"
keys = func_list.keys()
undocumented_funcs = []
for k in keys:
decl_info = func_list[k]
if decl_info[3] == 0:
undocumented_funcs.append((decl_info[1],decl_info[2],k))
undocumented_funcs.sort()
for decl_info in undocumented_funcs:
print_report(decl_info[0],decl_info[1],'Undocumented function '+decl_info[2])
utils/cvarr_operators.py deleted 100644 → 0
View file @ 8967a128
#!/usr/bin/python
BINARY_OPERATORS={
'+':'cvAdd',
'-':'cvSub',
'/':'cvDiv',
'*':'cvMul',
'^':'cvXor',
'&':'cvAnd',
'|':'cvOr',
}
SCALAR_OPERATORS={
'+':'cvAddS',
'-':'cvSubS',
'&':'cvAndS',
'|':'cvOrS',
'^':'cvXorS',
}
SCALE_OPERATORS={
'*':'val',
'/':'1.0/val'
}
CMP_OPERATORS={
'==':'CV_CMP_EQ',
'!=':'CV_CMP_NE',
'>=':'CV_CMP_GE',
'>':'CV_CMP_GT',
'<=':'CV_CMP_LE',
'<':'CV_CMP_LT',
}
ARR={
'CvMat':'cvCreateMat(self->rows, self->cols, self->type)',
'IplImage':'cvCreateImage(cvGetSize(self), self->depth, self->nChannels)'
}
CMP_ARR={
'CvMat':'cvCreateMat(self->rows, self->cols, CV_8U)',
'IplImage':'cvCreateImage(cvGetSize(self), IPL_DEPTH_8U, 1)'
}
def scalar_scale_operator(arr, op, arg):
print '\t%s * operator %s (double val){' % (arr, op)
print '\t\t%s * res = %s;' % (arr, ARR[arr] )
print '\t\tcvScale(self, res, %s);' % arg
print '\t\treturn res;'
print '\t}'
print '\t%s * operator %s (double val){' % (arr, op)
print '\t\t%s * res = %s;' % (arr, ARR[arr] )
print '\t\tcvScale(self, res, %s);' % arg
print '\t\treturn res;'
print '\t}'
print "/** This file was automatically generated using util/cvarr_operators.py script */"
for arr in ARR:
print '%%extend %s {' % arr
for op in BINARY_OPERATORS:
print '\t%%newobject operator %s;' % (op)
print '\t%s * operator %s (CvArr * src){' % ( arr, op )
print '\t\t%s * res = %s;' % ( arr, ARR[arr] )
print '\t\t%s(self, src, res);' % ( BINARY_OPERATORS[op] )
print '\t\treturn res;'
print '\t}'
print '\t%s * operator %s= (CvArr * src){' % ( arr, op )
print '\t\t%s(self, src, self);' % ( BINARY_OPERATORS[op] )
print '\t\treturn self;'
print '\t}'
for op in SCALAR_OPERATORS:
print '\t%%newobject operator %s;' % (op)
print '\t%s * operator %s (CvScalar val){' % ( arr, op )
print '\t\t%s * res = %s;' % ( arr, ARR[arr] )
print '\t\t%s(self, val, res);' % ( SCALAR_OPERATORS[op] )
print '\t\treturn res;'
print '\t}'
print '\t%s * operator %s= (CvScalar val){' % ( arr, op )
print '\t\t%s(self, val, self);' % ( SCALAR_OPERATORS[op] )
print '\t\treturn self;'
print '\t}'
for op in CMP_OPERATORS:
print '\t%%newobject operator %s;' % (op)
print '\t%s * operator %s (CvArr * src){' % ( arr, op )
print '\t\t%s * res = %s;' % ( arr, CMP_ARR[arr] )
print '\t\tcvCmp(self, src, res, %s);' % ( CMP_OPERATORS[op] )
print '\t\treturn res;'
print '\t}'
print '\t%s * operator %s (double val){' % ( arr, op )
print '\t\t%s * res = %s;' % ( arr, CMP_ARR[arr] )
print '\t\tcvCmpS(self, val, res, %s);' % ( CMP_OPERATORS[op] )
print '\t\treturn res;'
print '\t}'
for op in SCALE_OPERATORS:
print '\t%%newobject operator %s;' % (op)
print '\t%s * operator %s (double val){' % (arr, op)
print '\t\t%s * res = %s;' % (arr, ARR[arr] )
print '\t\tcvScale(self, res, %s);' % SCALE_OPERATORS[op]
print '\t\treturn res;'
print '\t}'
print '\t%s * operator %s= (double val){' % (arr, op)
print '\t\tcvScale(self, self, %s);' % SCALE_OPERATORS[op]
print '\t\treturn self;'
print '\t}'
print '} /* extend %s */\n' % arr
utils/extract_aliases.py deleted 100755 → 0
View file @ 8967a128
#! /usr/bin/env python
"""
This script extracts macros #defines from those OpenCV headers that can't be
directly parsed by current SWIG versions and must be pre-filtered by
the C preprocessor (that erases all #defines). Type information is missing in the
macros, so C code can't be regenerated. Instead, try to convert C to Python code.
C macros too complicated to represent in python using regexes are listed in EXCLUDE
"""
import sys, re
EXCLUDE = { }
# force this to be part of cv module
# otherwise becomes cv.cvmacros
print "/** This file was automatically generated using util/extract_aliases.py script */"
print "%module cv"
print "%pythoncode %{"
for fn in sys.argv[1:]:
f = open( fn, "r" )
in_define = 0
for l in f.xreadlines():
m = re.match( r"^#define\s+((?:CV_|IPL_|cv)\w+)\s+((?:CV|IPL|cv)\w*)\s*$", l )
if m and not l.endswith( "\\\n" ) and not EXCLUDE.has_key(m.group(1)):
print "%s=%s" % (m.group(1), m.group(2))
f.close()
print "%}"
utils/extract_constants.py deleted 100755 → 0
View file @ 8967a128
#! /usr/bin/env python
"""
This script extracts #defines from those OpenCV headers that can't be
directly parsed by current SWIG versions and must be pre-filtered by
the C preprocessor (that erases all #defines).
"""
import sys, re
for fn in sys.argv[1:]:
f = open( fn, "r" )
in_define = 0
for l in f.xreadlines():
if re.match( r"^#define\s+(CV_|IPL_|cv)\w+\s+", l ):
in_define = 1
if re.match (r"^#define\s+CV_MAKETYPE", l):
in_define = 1
if re.match (r"^#define\s+CV_CN", l):
in_define = 1
if re.match (r"^#define\s+CV_MAT_TYPE", l):
in_define = 1
if re.match (r"^#define\s+CV_MAT_DEPTH", l):
in_define = 1
if in_define:
print l[:l.find ('/*')]
if not l.endswith( "\\\n" ):
in_define = 0
print
f.close()
utils/extract_doublepointers.py deleted 100755 → 0
View file @ 8967a128
#! /usr/bin/env python
"""
This script checks the OpenCV headers to find methods that take double pointers
to OpenCV data structures as in/out parameters.
These methods need a special treatment and therefore SWIG typemaps are generated.
"""
import sys
def convert_name(str):
count = 0
if (str[0:2] == "_p"):
p,s = convert_name(str[2:])
return(('*' + p),s)
return ('',str[1:])
if (sys.argv.__len__() < 1):
sys.exit(1)
infile = open(sys.argv[1],'r')
lines = infile.readlines()
infile.close()
foundit = 0
mytypes = []
for line in lines:
if (foundit == 0):
if (line.find('TYPES TABLE (BEGIN') > -1):
foundit = 1
else:
if (line.find('TYPES TABLE (END)') > -1):
foundit = 0
else:
stuff = line.split()
if (stuff.__len__() >= 3):
if (stuff[0] == "#define"):
mytypes.append(stuff[1][8:])
print """
/*//////////////////////////////////////////////////////////////////////////////////////////////////
// This file was automatically generated from the extract_doublepointers.py script found in the
// 'utils' subdirectory of the OpenCV distribution. Run it on the .cpp file generated by swig to
// generate the double pointer typemaps
/////////////////////////////////////////////////////////////////////////////////////////////////M*/
"""
for mytype in mytypes:
p,s = convert_name(mytype)
if (p.__len__() >= 2):
print '%typemap(in)',s,p,' (void * vptr, $*1_ltype buffer) {'
print '\tif ((SWIG_ConvertPtr($input, &vptr, $*1_descriptor, 1)) == -1){'
print '\t\tSWIG_fail;';
print '\t}'
print '\tbuffer = ($*1_ltype) vptr;'
print '\t$1=&buffer;'
print '}'
#rez = "" + s + " " + p + 'getPtrTo' + s + '( ' + s + ' ' + p[1:] + 'input)'
#sys.stdout.write(rez)
#sys.stdout.write('\n{\n\t' + s + ' ' + p + 'rez = new ' + s + p[1:] + '();')
#sys.stdout.write('\n\t*rez =input;\n\treturn(rez);\n}\n')
#sys.stdout.write(rez)
#sys.stdout.write(';\n')
# else:
# print '/* No conversions needed for type ', s, ' */'
utils/extract_macros.py deleted 100755 → 0
View file @ 8967a128
#! /usr/bin/env python
"""
This script extracts macros functions from the OpenCV headers and attempts to generate
standard C function prototypes. Type information is missing in the macros, so SWIG
cannot generate C code for them unless we provide this.
"""
import sys, re
ARG_MAP = {
"mat":"CvMat*",
"type":"int",
"flags":"int",
"img":"CvArr *",
"image":"IplImage *",
"mat1":"CvMat*",
"mat2":"CvMat*",
"seq":"CvSeq*",
"elem_ptr":"void *",
"elem":"CvPoint",
"elem_type":"ignore",
"elemtype":"ignore",
"elem_size":"int",
"edge":"CvGraphEdge *",
"vertex":"CvGraphVtx *",
"contour":"CvSeq *",
"vtx":"CvGraphVtx *",
"reader":"CvSeqReader",
"writer":"CvSeqWriter",
"hist":"CvHistogram *",
"ptr":"void *",
"arr":"CvArr *",
"header":"CvMat *",
"src":"CvArr *",
"src1":"CvArr *",
"src2":"CvArr *",
"src3":"CvArr *",
"dst":"CvArr *",
"pt1":"CvPoint",
"pt2":"CvPoint",
"_pt":"CvPoint",
"index":"int",
"idx":"int",
"set":"CvSet *",
"n":"int",
"a":"int",
"b":"int",
"t":"int",
"value":"double",
"row":"int",
"col":"int",
"cn":"int",
"new_cn":"int",
"pix_size":"int",
"depth":"int",
"node":"CvSparseNode *",
"storage":"CvMemStorage *",
"new_dims": "int",
"new_sizes": "int *",
"A":"CvArr *",
"B":"CvArr *",
"C":"CvArr *",
"real_scalar":"double",
"graph":"CvGraph *",
"r":"double",
"g":"double",
# "b":"double",
"line_iterator":"CvLineIterator",
"deltas":"double *",
"step":"int",
"haar":"void *",
# "contour":"const void*", # handled as a special case in cvshadow
"range":"CvSize",
"nch":"int",
"method":"int",
"factor":"double"
}
RET_MAP = {
"cvContourPerimeter":"double",
"CV_RGB":"CvScalar",
"CV_NEXT_GRAPH_EDGE":"CvGraphEdge *",
"CV_IMIN":"int",
"CV_IMAX":"int",
"CV_IABS":"int",
"CV_MAT_CN":"int",
"CV_MAT_DEPTH":"int",
"CV_NEXT_LINE_POINT":"void",
}
# special cases
MACROS = {
#"CV_MAKETYPE":"", # SWIG 1.3.29 doesn't like this one for some indeterminant reason
"CV_TURN_ON_IPL_COMPATIBILITY":"",
"CV_MAT_ELEM_PTR_FAST":"void * CV_MAT_ELEM_PTR_FAST(CvMat mat,int row,int col,int pix_size);",
"CV_MAT_ELEM_PTR":"void * CV_MAT_ELEM_PTR(CvMat mat,int row,int col);",
"CV_NODE_VAL":"void * CV_NODE_VAL(CvSparseMat* mat,CvSparseNode * node);",
"CV_NODE_IDX":"int * CV_NODE_IDX(CvSparseMat* mat,CvSparseNode * node);",
"CV_READ_CHAIN_POINT":"void CV_READ_CHAIN_POINT(CvPoint _pt, CvChainPtReader reader);",
"CV_SUBDIV2D_NEXT_EDGE":"CvQuadEdge2D* CV_SUBDIV2D_NEXT_EDGE(CvSubdiv2DEdge edge);",
"cvFree":"void cvFree(void ** ptr);",
}
print """
/*//////////////////////////////////////////////////////////////////////////////////////////////////
// This file is automatically generated from the extract_macros.py script found in the 'utils'
// subdirectory of the OpenCV distribution. If the generated function prototypes are missing or
// incorrect, it is likely that a name->type mapping will have to be added to the script
/////////////////////////////////////////////////////////////////////////////////////////////////M*/
"""
print "// This file was generated from the following header files: "
print "// %s" % "\n// ".join(sys.argv[1:])
def determine_return_type(name, arguments):
if RET_MAP.has_key( name ):
return RET_MAP[name]
if name.find("_IS_")>=0 or \
name.find("_HAS_")>=0 or \
name.find("_KIND")>=0 or \
name.find("_ARE_")>=0 or \
name.find("_SIZE")>=0 or \
name.find("Idx")>=0 or \
name.find("Count")>=0 or \
(name.find("TYPE")>=0 and not name.find("TYPES")>=0):
return "int"
if re.match( r"CV_(?:8|16|32|64)(?:U|S|F)C", name ):
return "int"
if len(arguments) is 1 and arguments[0].startswith("double"):
return "double"
if name.find("_PTR")>=0:
return "void *"
if name.endswith("POINT"):
return "CvPoint"
return "void"
for m in MACROS:
print MACROS[m]
for fn in sys.argv[1:]:
f = open( fn, "r" )
in_define = False
fstr=""
macro_name=""
for l in f.xreadlines():
m = re.match( r"^#define\s+((?:CV_|IPL_|cv)\w+)\s*\(([_, a-zA-Z0-9]*)\)\s*(.*)", l )
if m and not m.group(1).endswith("FIELDS") and not MACROS.has_key(m.group(1)):
macro_name = m.group(1)
args = m.group(2).strip().split(",")
# assign return type
ret=determine_return_type( macro_name, args )
# assign type to each argument
no_args = len(args) is 0
typed_args = []
ignore = False
for arg in args:
arg = arg.strip()
if len(arg) is 0:
no_args = True
break
if ARG_MAP.has_key( arg ):
if ARG_MAP[arg] is "ignore":
ignore=True
break
typed_args.append( "%s %s"%( ARG_MAP[arg], arg ) )
else:
sys.stderr.write( "\"%s\":\"?\", in macro '%s'\n" % (arg, macro_name) )
typed_args = []
break
if not ignore and (no_args or len(typed_args)>0):
decl = "%s %s(%s);" % (ret, macro_name, ",".join( typed_args) )
MACROS[ macro_name ] = decl
print decl
f.close()
utils/make_index.py deleted 100644 → 0
View file @ 8967a128
#!/usr/bin/env python
"""
Usage: make_index.py <html_ref_file> [ > <output_func_index_file> ]
This script parses html reference file, creates alphabetical list of
functions and list of examples ]
"""
import sys, re, string
f = open(sys.argv[1])
func_list = {}
struct_list = []
func_decl_re = re.compile( r'<a name="decl_(.+?)"' )
for l in f.xreadlines():
llist = func_decl_re.findall(l)
if llist:
ll = llist[0]
if ll.startswith('Cv'):
struct_list.append(ll)
elif ll.startswith('Ipl'):
struct_list.append(ll)
elif ll.startswith('cvm'):
sublist = func_list.get(ll[3], [])
sublist.append(ll)
func_list[ll[3]] = sublist
elif ll.startswith('cv'):
sublist = func_list.get(ll[2], [])
sublist.append(ll)
func_list[ll[2]] = sublist
f.close()
struct_list.sort()
func_letters = func_list.keys()
func_letters.sort()
print "<html><body>"
columns = 3
for letter in func_letters:
print '<hr><h3>%s</h3>\n<table width="100%%">' % letter
sublist = func_list[letter]
sublist.sort()
col_len = (len(sublist)+columns-1)/columns
#if col_len*columns > len(sublist):
# sublist.append( "" * (col_len*columns - len(sublist)) )
for i in range(col_len):
print '<tr>'
for j in range(columns):
if i + j*col_len < len(sublist):
fn = sublist[i+j*col_len]
fn_short = fn.lstrip(string.lowercase)
print '<td width="25%%"><a href="#decl_%s">%s</a></td>' % (fn, fn_short)
else:
print '<td width="25%%"></td>'
print '</tr>'
print "</table>"
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