Ejemplos de input_array2d en Python

Ejemplo n.º 1

# theRNG
z = sb.mb.free_fun('theRNG')
z.include()
z.call_policies = CP.return_value_policy(CP.reference_existing_object)

# fillConvexPoly
z = sb.mb.free_fun('fillConvexPoly')
z.include()
z._transformer_creators.append(FT.input_array1d('pts', 'npts'))

# fillPoly
for t in ('fillPoly', 'polylines'):
    z = sb.mb.free_fun(t)
    z.include()
    z._transformer_creators.append(FT.input_array2d('pts', 'npts',
                                                    'ncontours'))
    z._transformer_kwds['alias'] = t

# getTextSize
z = sb.mb.free_fun('getTextSize')
z.include()
z._transformer_creators.append(FT.output_type1('baseLine'))

# MemStorage -- exposed in cxtypes_h_gen

# cvCreateMemStorage
sb.mb.free_fun('cvCreateMemStorage').exclude()
sb.mb.add_declaration_code('''
cv::MemStorage createMemStorage(int block_size CV_DEFAULT(0))
{
    return cv::MemStorage(cvCreateMemStorage(block_size));

Ejemplo n.º 2

Archivo: cv_hpp_gen.py Proyecto: uniquerobot/pyopencv

               transformer_creators=[FT.arg_output('lines')])

# getOptimalNewCameraMatrix
FT.expose_func(sb.mb.free_fun('getOptimalNewCameraMatrix'),
               return_pointee=False,
               transformer_creators=[FT.output_type1('validPixROI')])

# calcHist
for z in sb.mb.free_funs('calcHist'):
    FT.expose_func(z,
                   return_pointee=False,
                   transformer_creators=[
                       FT.input_array1d('images', 'nimages'),
                       FT.input_array1d('channels'),
                       FT.input_array1d('histSize', 'dims'),
                       FT.input_array2d('ranges')
                   ])
    z._transformer_kwds['alias'] = 'calcHist'

# calcBackProject
for z in sb.mb.free_funs('calcBackProject'):
    FT.expose_func(z,
                   return_pointee=False,
                   transformer_creators=[
                       FT.input_array1d('images', 'nimages'),
                       FT.input_array1d('channels'),
                       FT.input_array2d('ranges')
                   ])
    z._transformer_kwds['alias'] = 'calcBackProject'

# floodFill

Ejemplo n.º 3

Archivo: cxcore_hpp_gen.py Proyecto: BackupGGCode/pyopencv

        
# theRNG
z = sb.mb.free_fun('theRNG')
z.include()
z.call_policies = CP.return_value_policy(CP.reference_existing_object)

# fillConvexPoly
z = sb.mb.free_fun('fillConvexPoly')
z.include()
z._transformer_creators.append(FT.input_array1d('pts', 'npts'))

# fillPoly
for t in ('fillPoly', 'polylines'):
    z = sb.mb.free_fun(t)
    z.include()
    z._transformer_creators.append(FT.input_array2d('pts', 'npts', 'ncontours'))
    z._transformer_kwds['alias'] = t
    
# getTextSize
z = sb.mb.free_fun('getTextSize')
z.include()
z._transformer_creators.append(FT.output_type1('baseLine'))

# MemStorage -- exposed in cxtypes_h_gen

# cvCreateMemStorage
sb.mb.free_fun('cvCreateMemStorage').exclude()
sb.mb.add_declaration_code('''
cv::MemStorage createMemStorage(int block_size CV_DEFAULT(0))
{
    return cv::MemStorage(cvCreateMemStorage(block_size));

Ejemplo n.º 4

Archivo: cv_hpp_gen.py Proyecto: BackupGGCode/pyopencv

FT.expose_func(sb.mb.free_fun('HoughCircles'), return_pointee=False, 
    transformer_creators=[FT.arg_output('circles')])
FT.expose_func(sb.mb.free_fun('HoughLines'), return_pointee=False, 
    transformer_creators=[FT.arg_output('lines')])
FT.expose_func(sb.mb.free_fun('HoughLinesP'), return_pointee=False, 
    transformer_creators=[FT.arg_output('lines')])

# getOptimalNewCameraMatrix
FT.expose_func(sb.mb.free_fun('getOptimalNewCameraMatrix'), return_pointee=False, 
    transformer_creators=[FT.output_type1('validPixROI')])

# calcHist
for z in sb.mb.free_funs('calcHist'):
    FT.expose_func(z, return_pointee=False, transformer_creators=[
        FT.input_array1d('images', 'nimages'), FT.input_array1d('channels'),
        FT.input_array1d('histSize', 'dims'), FT.input_array2d('ranges')])
    z._transformer_kwds['alias'] = 'calcHist'
        
        
# calcBackProject
for z in sb.mb.free_funs('calcBackProject'):
    FT.expose_func(z, return_pointee=False, transformer_creators=[
        FT.input_array1d('images', 'nimages'), FT.input_array1d('channels'),
        FT.input_array2d('ranges')])
    z._transformer_kwds['alias'] = 'calcBackProject'
        
# floodFill
for z in sb.mb.free_funs('floodFill'):
    FT.expose_func(z, return_pointee=False, transformer_creators=[FT.output_type1('rect')])
    z._transformer_kwds['alias'] = 'floodFill'