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CVtypes.py
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"""
This file started life as cvtypes.py with the following header (that I can't read)
Wrapper-Modul cvtypes.py zur Verwendung der OpenCV-Bibliothek beta5
unter Python, wobei der Zugriff ueber ctypes erfolgt.
Autor: Michael Otto
To do: noch fehlende Strukturen wrappen (z. B. CvKalman)
noch fehlende Konstanten wrappen (z. B. CV_MAX_DIM_HEAP)
noch fehlende Makros und Inlinefunktionen wrappen
ausgiebig testen
Log: 2006/07/25 Dokumentationsstrings hinzugefuegt
2006/07/10 Fehler in cvGEMM, cvMatMulAdd und cvMatMul beseitigt
2006/06/28 Modul erzeugt
I hacked it both automatically and by hand to bring it up to date with OpenCV 1.0 and
to use prototype for the functions. I also added from_param methods to allow lists to many
functions that expect a C array.
I checked with Michael and he graciously agreed to let me give it away. This software is
free for any use. If you or your lawyer are stupid enough to believe that Micheal or I have
any liability for it, you should not use it, otherwise be our guest.
Gary Bishop February 2007
Updated 12 May 2007 to include modifications provided by Russell Warren
"""
# --- Importe ----------------------------------------------------------------
import ctypes, os
from ctypes import Structure, Union, POINTER, SetPointerType, CFUNCTYPE, cdll, byref
from ctypes import c_char_p, c_double, c_float, c_byte, c_ubyte, c_int, c_void_p, c_ulong
from ctypes import c_uint32, c_short, c_char, c_longlong
# ----Load the DLLs ----------------------------------------------------------
if os.name == 'posix':
_cxDLL = cdll.LoadLibrary('libcxcore.so.1')
_cvDLL = cdll.LoadLibrary('libcv.so.1')
_hgDLL = cdll.LoadLibrary('libhighgui.so.1')
else:
_cxDLL = cdll.cxcore100
_cvDLL = cdll.cv100
_hgDLL = cdll.highgui100
# --- CONSTANTS AND STUFF FROM CV.H ------------------------------------------------------
CV_BLUR_NO_SCALE = 0
CV_BLUR = 1
CV_GAUSSIAN = 2
CV_MEDIAN = 3
CV_BILATERAL = 4
CV_INPAINT_NS = 0
CV_INPAINT_TELEA = 1
CV_SCHARR = -1
CV_MAX_SOBEL_KSIZE = 7
CV_BGR2BGRA = 0
CV_RGB2RGBA = CV_BGR2BGRA
CV_BGRA2BGR = 1
CV_RGBA2RGB = CV_BGRA2BGR
CV_BGR2RGBA = 2
CV_RGB2BGRA = CV_BGR2RGBA
CV_RGBA2BGR = 3
CV_BGRA2RGB = CV_RGBA2BGR
CV_BGR2RGB = 4
CV_RGB2BGR = CV_BGR2RGB
CV_BGRA2RGBA = 5
CV_RGBA2BGRA = CV_BGRA2RGBA
CV_BGR2GRAY = 6
CV_RGB2GRAY = 7
CV_GRAY2BGR = 8
CV_GRAY2RGB = CV_GRAY2BGR
CV_GRAY2BGRA = 9
CV_GRAY2RGBA = CV_GRAY2BGRA
CV_BGRA2GRAY = 10
CV_RGBA2GRAY = 11
CV_BGR2BGR565 = 12
CV_RGB2BGR565 = 13
CV_BGR5652BGR = 14
CV_BGR5652RGB = 15
CV_BGRA2BGR565 = 16
CV_RGBA2BGR565 = 17
CV_BGR5652BGRA = 18
CV_BGR5652RGBA = 19
CV_GRAY2BGR565 = 20
CV_BGR5652GRAY = 21
CV_BGR2BGR555 = 22
CV_RGB2BGR555 = 23
CV_BGR5552BGR = 24
CV_BGR5552RGB = 25
CV_BGRA2BGR555 = 26
CV_RGBA2BGR555 = 27
CV_BGR5552BGRA = 28
CV_BGR5552RGBA = 29
CV_GRAY2BGR555 = 30
CV_BGR5552GRAY = 31
CV_BGR2XYZ = 32
CV_RGB2XYZ = 33
CV_XYZ2BGR = 34
CV_XYZ2RGB = 35
CV_BGR2YCrCb = 36
CV_RGB2YCrCb = 37
CV_YCrCb2BGR = 38
CV_YCrCb2RGB = 39
CV_BGR2HSV = 40
CV_RGB2HSV = 41
CV_BGR2Lab = 44
CV_RGB2Lab = 45
CV_BayerBG2BGR = 46
CV_BayerGB2BGR = 47
CV_BayerRG2BGR = 48
CV_BayerGR2BGR = 49
CV_BayerBG2RGB = CV_BayerRG2BGR
CV_BayerGB2RGB = CV_BayerGR2BGR
CV_BayerRG2RGB = CV_BayerBG2BGR
CV_BayerGR2RGB = CV_BayerGB2BGR
CV_BGR2Luv = 50
CV_RGB2Luv = 51
CV_BGR2HLS = 52
CV_RGB2HLS = 53
CV_HSV2BGR = 54
CV_HSV2RGB = 55
CV_Lab2BGR = 56
CV_Lab2RGB = 57
CV_Luv2BGR = 58
CV_Luv2RGB = 59
CV_HLS2BGR = 60
CV_HLS2RGB = 61
CV_COLORCVT_MAX = 100
CV_INTER_NN = 0
CV_INTER_LINEAR = 1
CV_INTER_CUBIC = 2
CV_INTER_AREA = 3
CV_WARP_FILL_OUTLIERS = 8
CV_WARP_INVERSE_MAP = 16
CV_SHAPE_RECT = 0
CV_SHAPE_CROSS = 1
CV_SHAPE_ELLIPSE = 2
CV_SHAPE_CUSTOM = 100
CV_MOP_OPEN = 2
CV_MOP_CLOSE = 3
CV_MOP_GRADIENT = 4
CV_MOP_TOPHAT = 5
CV_MOP_BLACKHAT = 6
CV_TM_SQDIFF = 0
CV_TM_SQDIFF_NORMED = 1
CV_TM_CCORR = 2
CV_TM_CCORR_NORMED = 3
CV_TM_CCOEFF = 4
CV_TM_CCOEFF_NORMED = 5
CV_LKFLOW_PYR_A_READY = 1
CV_LKFLOW_PYR_B_READY = 2
CV_LKFLOW_INITIAL_GUESSES = 4
CV_POLY_APPROX_DP = 0
CV_DOMINANT_IPAN = 1
CV_CONTOURS_MATCH_I1 = 1
CV_CONTOURS_MATCH_I2 = 2
CV_CONTOURS_MATCH_I3 = 3
CV_CONTOUR_TREES_MATCH_I1 = 1
CV_CLOCKWISE = 1
CV_COUNTER_CLOCKWISE = 2
CV_COMP_CORREL = 0
CV_COMP_CHISQR = 1
CV_COMP_INTERSECT = 2
CV_COMP_BHATTACHARYYA = 3
CV_VALUE = 1
CV_ARRAY = 2
CV_DIST_MASK_3 = 3
CV_DIST_MASK_5 = 5
CV_DIST_MASK_PRECISE = 0
CV_THRESH_BINARY = 0 # value = (value > threshold) ? max_value : 0
CV_THRESH_BINARY_INV = 1 # value = (value > threshold) ? 0 : max_value
CV_THRESH_TRUNC = 2 # value = (value > threshold) ? threshold : value
CV_THRESH_TOZERO = 3 # value = (value > threshold) ? value : 0
CV_THRESH_TOZERO_INV = 4 # value = (value > threshold) ? 0 : value
CV_THRESH_MASK = 7
CV_THRESH_OTSU = 8 # use Otsu algorithm to choose the optimal threshold value
CV_ADAPTIVE_THRESH_MEAN_C = 0
CV_ADAPTIVE_THRESH_GAUSSIAN_C = 1
CV_FLOODFILL_FIXED_RANGE = 1 << 16
CV_FLOODFILL_MASK_ONLY = 1 << 17
CV_CANNY_L2_GRADIENT = 1 << 31
CV_HOUGH_STANDARD = 0
CV_HOUGH_PROBABILISTIC = 1
CV_HOUGH_MULTI_SCALE = 2
CV_HOUGH_GRADIENT = 3
CV_HAAR_DO_CANNY_PRUNING = 1
CV_HAAR_SCALE_IMAGE = 2
CV_CALIB_USE_INTRINSIC_GUESS = 1
CV_CALIB_FIX_ASPECT_RATIO = 2
CV_CALIB_FIX_PRINCIPAL_POINT = 4
CV_CALIB_ZERO_TANGENT_DIST = 8
CV_CALIB_CB_ADAPTIVE_THRESH = 1
CV_CALIB_CB_NORMALIZE_IMAGE = 2
CV_CALIB_CB_FILTER_QUADS = 4
CV_FM_7POINT = 1
CV_FM_8POINT = 2
CV_FM_LMEDS_ONLY = 4
CV_FM_RANSAC_ONLY = 8
CV_FM_LMEDS = CV_FM_LMEDS_ONLY + CV_FM_8POINT
CV_FM_RANSAC = CV_FM_RANSAC_ONLY + CV_FM_8POINT
# --- CONSTANTS AND STUFF FROM highgui.h ----
CV_WINDOW_AUTOSIZE = 1
CV_EVENT_MOUSEMOVE = 0
CV_EVENT_LBUTTONDOWN = 1
CV_EVENT_RBUTTONDOWN = 2
CV_EVENT_MBUTTONDOWN = 3
CV_EVENT_LBUTTONUP = 4
CV_EVENT_RBUTTONUP = 5
CV_EVENT_MBUTTONUP = 6
CV_EVENT_LBUTTONDBLCLK = 7
CV_EVENT_RBUTTONDBLCLK = 8
CV_EVENT_MBUTTONDBLCLK = 9
CV_EVENT_FLAG_LBUTTON = 1
CV_EVENT_FLAG_RBUTTON = 2
CV_EVENT_FLAG_MBUTTON = 4
CV_EVENT_FLAG_CTRLKEY = 8
CV_EVENT_FLAG_SHIFTKEY = 16
CV_EVENT_FLAG_ALTKEY = 32
CV_LOAD_IMAGE_UNCHANGED = -1 # 8 bit, color or gray - deprecated, use CV_LOAD_IMAGE_ANYCOLOR
CV_LOAD_IMAGE_GRAYSCALE = 0 # 8 bit, gray
CV_LOAD_IMAGE_COLOR = 1 # 8 bit unless combined with CV_LOAD_IMAGE_ANYDEPTH, color
CV_LOAD_IMAGE_ANYDEPTH = 2 # any depth, if specified on its own gray by itself
# equivalent to CV_LOAD_IMAGE_UNCHANGED but can be modified
# with CV_LOAD_IMAGE_ANYDEPTH
CV_LOAD_IMAGE_ANYCOLOR = 4
CV_CVTIMG_FLIP = 1
CV_CVTIMG_SWAP_RB = 2
CV_CAP_ANY = 0 # autodetect
CV_CAP_MIL = 100 # MIL proprietary drivers
CV_CAP_VFW = 200 # platform native
CV_CAP_V4L = 200
CV_CAP_V4L2 = 200
CV_CAP_FIREWARE = 300 # IEEE 1394 drivers
CV_CAP_IEEE1394 = 300
CV_CAP_DC1394 = 300
CV_CAP_CMU1394 = 300
CV_CAP_STEREO = 400 # TYZX proprietary drivers
CV_CAP_TYZX = 400
CV_TYZX_LEFT = 400
CV_TYZX_RIGHT = 401
CV_TYZX_COLOR = 402
CV_TYZX_Z = 403
CV_CAP_QT = 500 # Quicktime
CV_CAP_PROP_POS_MSEC = 0
CV_CAP_PROP_POS_FRAMES = 1
CV_CAP_PROP_POS_AVI_RATIO = 2
CV_CAP_PROP_FRAME_WIDTH = 3
CV_CAP_PROP_FRAME_HEIGHT = 4
CV_CAP_PROP_FPS = 5
CV_CAP_PROP_FOURCC = 6
CV_CAP_PROP_FRAME_COUNT = 7
CV_CAP_PROP_FORMAT = 8
CV_CAP_PROP_MODE = 9
CV_CAP_PROP_BRIGHTNESS = 10
CV_CAP_PROP_CONTRAST = 11
CV_CAP_PROP_SATURATION = 12
CV_CAP_PROP_HUE = 13
CV_CAP_PROP_GAIN = 14
CV_CAP_PROP_CONVERT_RGB = 15
# --- CONSTANTS AND STUFF FROM cxcore.h ----
CV_AUTOSTEP = 0x7fffffff
CV_MAX_ARR = 10
CV_NO_DEPTH_CHECK = 1
CV_NO_CN_CHECK = 2
CV_NO_SIZE_CHECK = 4
CV_CMP_EQ = 0
CV_CMP_GT = 1
CV_CMP_GE = 2
CV_CMP_LT = 3
CV_CMP_LE = 4
CV_CMP_NE = 5
CV_CHECK_RANGE = 1
CV_CHECK_QUIET = 2
CV_RAND_UNI = 0
CV_RAND_NORMAL = 1
CV_GEMM_A_T = 1
CV_GEMM_B_T = 2
CV_GEMM_C_T = 4
CV_SVD_MODIFY_A = 1
CV_SVD_U_T = 2
CV_SVD_V_T = 4
CV_LU = 0
CV_SVD = 1
CV_SVD_SYM = 2
CV_COVAR_SCRAMBLED = 0
CV_COVAR_NORMAL = 1
CV_COVAR_USE_AVG = 2
CV_COVAR_SCALE = 4
CV_COVAR_ROWS = 8
CV_COVAR_COLS = 16
CV_PCA_DATA_AS_ROW = 0
CV_PCA_DATA_AS_COL = 1
CV_PCA_USE_AVG = 2
CV_C = 1
CV_L1 = 2
CV_L2 = 4
CV_NORM_MASK = 7
CV_RELATIVE = 8
CV_DIFF = 16
CV_MINMAX = 32
CV_DIFF_C = (CV_DIFF | CV_C)
CV_DIFF_L1 = (CV_DIFF | CV_L1)
CV_DIFF_L2 = (CV_DIFF | CV_L2)
CV_RELATIVE_C = (CV_RELATIVE | CV_C)
CV_RELATIVE_L1 = (CV_RELATIVE | CV_L1)
CV_RELATIVE_L2 = (CV_RELATIVE | CV_L2)
CV_REDUCE_SUM = 0
CV_REDUCE_AVG = 1
CV_REDUCE_MAX = 2
CV_REDUCE_MIN = 3
CV_DXT_FORWARD = 0
CV_DXT_INVERSE = 1
CV_DXT_SCALE = 2 # divide result by size of array
CV_DXT_INV_SCALE = CV_DXT_INVERSE + CV_DXT_SCALE
CV_DXT_INVERSE_SCALE = CV_DXT_INV_SCALE
CV_DXT_ROWS = 4 # transfor each row individually
CV_DXT_MUL_CONJ = 8 # conjugate the second argument of cvMulSpectrums
CV_FRONT = 1
CV_BACK = 0
CV_GRAPH_VERTEX = 1
CV_GRAPH_TREE_EDGE = 2
CV_GRAPH_BACK_EDGE = 4
CV_GRAPH_FORWARD_EDGE = 8
CV_GRAPH_CROSS_EDGE = 16
CV_GRAPH_ANY_EDGE = 30
CV_GRAPH_NEW_TREE = 32
CV_GRAPH_BACKTRACKING = 64
CV_GRAPH_OVER = -1
CV_GRAPH_ALL_ITEMS = -1
CV_GRAPH_ITEM_VISITED_FLAG = 1 << 30
CV_GRAPH_SEARCH_TREE_NODE_FLAG = 1 << 29
CV_GRAPH_FORWARD_EDGE_FLAG = 1 << 28
CV_FILLED = -1
CV_AA = 16
CV_FONT_HERSHEY_SIMPLEX = 0
CV_FONT_HERSHEY_PLAIN = 1
CV_FONT_HERSHEY_DUPLEX = 2
CV_FONT_HERSHEY_COMPLEX = 3
CV_FONT_HERSHEY_TRIPLEX = 4
CV_FONT_HERSHEY_COMPLEX_SMALL = 5
CV_FONT_HERSHEY_SCRIPT_SIMPLEX = 6
CV_FONT_HERSHEY_SCRIPT_COMPLEX = 7
CV_FONT_ITALIC = 16
CV_FONT_VECTOR0 = CV_FONT_HERSHEY_SIMPLEX
CV_ErrModeLeaf = 0 # print error and exit program
CV_ErrModeParent = 1 # print error and continue
CV_ErrModeSilent = 2 # don't print and continue
#------
# make function prototypes a bit easier to declare
def cfunc(name, dll, result, *args):
'''build and apply a ctypes prototype complete with parameter flags
e.g.
cvMinMaxLoc = cfunc('cvMinMaxLoc', _cxDLL, None,
('image', POINTER(IplImage), 1),
('min_val', POINTER(double), 2),
('max_val', POINTER(double), 2),
('min_loc', POINTER(CvPoint), 2),
('max_loc', POINTER(CvPoint), 2),
('mask', POINTER(IplImage), 1, None))
means locate cvMinMaxLoc in dll _cxDLL, it returns nothing.
The first argument is an input image. The next 4 arguments are output, and the last argument is
input with an optional value. A typical call might look like:
min_val,max_val,min_loc,max_loc = cvMinMaxLoc(img)
'''
atypes = []
aflags = []
for arg in args:
atypes.append(arg[1])
aflags.append((arg[2], arg[0]) + arg[3:])
return CFUNCTYPE(result, *atypes)((name, dll), tuple(aflags))
class ListPOINTER(object):
'''Just like a POINTER but accept a list of ctype as an argument'''
def __init__(self, etype):
self.etype = etype
def from_param(self, param):
if isinstance(param, (list,tuple)):
return (self.etype * len(param))(*param)
class ListPOINTER2(object):
'''Just like POINTER(POINTER(ctype)) but accept a list of lists of ctype'''
def __init__(self, etype):
self.etype = etype
def from_param(self, param):
if isinstance(param, (list,tuple)):
val = (POINTER(self.etype) * len(param))()
for i,v in enumerate(param):
if isinstance(v, (list,tuple)):
val[i] = (self.etype * len(v))(*v)
else:
raise TypeError, 'nested list or tuple required at %d' % i
return val
else:
raise TypeError, 'list or tuple required'
class ByRefArg(object):
'''Just like a POINTER but accept an argument and pass it byref'''
def __init__(self, atype):
self.atype = atype
def from_param(self, param):
return byref(param)
class CallableToFunc(object):
'''Make the callable argument into a C callback'''
def __init__(self, cbacktype):
self.cbacktype = cbacktype
def from_param(self, param):
return self.cbacktype(param)
# --- Globale Variablen und Ausnahmen ----------------------------------------
CV_TM_SQDIFF =0
CV_TM_SQDIFF_NORMED =1
CV_TM_CCORR =2
CV_TM_CCORR_NORMED =3
CV_TM_CCOEFF =4
CV_TM_CCOEFF_NORMED =5
# Image type (IplImage)
IPL_DEPTH_SIGN = 0x80000000
IPL_DEPTH_1U = 1
IPL_DEPTH_8U = 8
IPL_DEPTH_16U = 16
IPL_DEPTH_32F = 32
IPL_DEPTH_8S = -8
IPL_DEPTH_16S = -16
IPL_DEPTH_32S = -32
IPL_DATA_ORDER_PIXEL = 0
IPL_DATA_ORDER_PLANE = 1
IPL_ORIGIN_TL = 0
IPL_ORIGIN_BL = 1
IPL_ALIGN_4BYTES = 4
IPL_ALIGN_8BYTES = 8
IPL_ALIGN_16BYTES = 16
IPL_ALIGN_32BYTES = 32
IPL_ALIGN_DWORD = IPL_ALIGN_4BYTES
IPL_ALIGN_QWORD = IPL_ALIGN_8BYTES
IPL_BORDER_CONSTANT = 0
IPL_BORDER_REPLICATE = 1
IPL_BORDER_REFLECT = 2
IPL_BORDER_WRAP = 3
IPL_IMAGE_HEADER = 1
IPL_IMAGE_DATA = 2
IPL_IMAGE_ROI = 4
CV_TYPE_NAME_IMAGE = "opencv-image"
IPL_DEPTH_64F = 64
# Matrix type (CvMat)
CV_CN_MAX = 4
CV_CN_SHIFT = 3
CV_DEPTH_MAX = (1 << CV_CN_SHIFT)
CV_8U = 0
CV_8S = 1
CV_16U = 2
CV_16S = 3
CV_32S = 4
CV_32F = 5
CV_64F = 6
CV_USRTYPE1 = 7
def CV_MAKETYPE(depth,cn):
return ((depth) + (((cn)-1) << CV_CN_SHIFT))
CV_MAKE_TYPE = CV_MAKETYPE
CV_8UC1 = CV_MAKETYPE(CV_8U,1)
CV_8UC2 = CV_MAKETYPE(CV_8U,2)
CV_8UC3 = CV_MAKETYPE(CV_8U,3)
CV_8UC4 = CV_MAKETYPE(CV_8U,4)
CV_8SC1 = CV_MAKETYPE(CV_8S,1)
CV_8SC2 = CV_MAKETYPE(CV_8S,2)
CV_8SC3 = CV_MAKETYPE(CV_8S,3)
CV_8SC4 = CV_MAKETYPE(CV_8S,4)
CV_16UC1 = CV_MAKETYPE(CV_16U,1)
CV_16UC2 = CV_MAKETYPE(CV_16U,2)
CV_16UC3 = CV_MAKETYPE(CV_16U,3)
CV_16UC4 = CV_MAKETYPE(CV_16U,4)
CV_16SC1 = CV_MAKETYPE(CV_16S,1)
CV_16SC2 = CV_MAKETYPE(CV_16S,2)
CV_16SC3 = CV_MAKETYPE(CV_16S,3)
CV_16SC4 = CV_MAKETYPE(CV_16S,4)
CV_32SC1 = CV_MAKETYPE(CV_32S,1)
CV_32SC2 = CV_MAKETYPE(CV_32S,2)
CV_32SC3 = CV_MAKETYPE(CV_32S,3)
CV_32SC4 = CV_MAKETYPE(CV_32S,4)
CV_32FC1 = CV_MAKETYPE(CV_32F,1)
CV_32FC2 = CV_MAKETYPE(CV_32F,2)
CV_32FC3 = CV_MAKETYPE(CV_32F,3)
CV_32FC4 = CV_MAKETYPE(CV_32F,4)
CV_64FC1 = CV_MAKETYPE(CV_64F,1)
CV_64FC2 = CV_MAKETYPE(CV_64F,2)
CV_64FC3 = CV_MAKETYPE(CV_64F,3)
CV_64FC4 = CV_MAKETYPE(CV_64F,4)
CV_AUTO_STEP = 0x7fffffff
CV_MAT_CN_MASK = ((CV_CN_MAX - 1) << CV_CN_SHIFT)
def CV_MAT_CN(flags):
return ((((flags) & CV_MAT_CN_MASK) >> CV_CN_SHIFT) + 1)
CV_MAT_DEPTH_MASK = (CV_DEPTH_MAX - 1)
def CV_MAT_DEPTH(flags):
return ((flags) & CV_MAT_DEPTH_MASK)
CV_MAT_TYPE_MASK = (CV_DEPTH_MAX*CV_CN_MAX - 1)
def CV_MAT_TYPE(flags):
((flags) & CV_MAT_TYPE_MASK)
CV_MAT_CONT_FLAG_SHIFT = 9
CV_MAT_CONT_FLAG = (1 << CV_MAT_CONT_FLAG_SHIFT)
def CV_IS_MAT_CONT(flags):
return ((flags) & CV_MAT_CONT_FLAG)
CV_IS_CONT_MAT = CV_IS_MAT_CONT
CV_MAT_TEMP_FLAG_SHIFT = 10
CV_MAT_TEMP_FLAG = (1 << CV_MAT_TEMP_FLAG_SHIFT)
def CV_IS_TEMP_MAT(flags):
return ((flags) & CV_MAT_TEMP_FLAG)
CV_MAGIC_MASK = 0xFFFF0000
CV_MAT_MAGIC_VAL = 0x42420000
CV_TYPE_NAME_MAT = "opencv-matrix"
# Termination criteria for iterative algorithms
CV_TERMCRIT_ITER = 1
CV_TERMCRIT_NUMBER = CV_TERMCRIT_ITER
CV_TERMCRIT_EPS = 2
# Data structures for persistence (a.k.a serialization) functionality
CV_STORAGE_READ = 0
CV_STORAGE_WRITE = 1
CV_STORAGE_WRITE_TEXT = CV_STORAGE_WRITE
CV_STORAGE_WRITE_BINARY = CV_STORAGE_WRITE
CV_STORAGE_APPEND = 2
CV_MAX_DIM = 32
CV_FILLED = -1
CV_AA = 16
CV_VERSION = "1.0.0"
CV_MAJOR_VERSION = 1
CV_MINOR_VERSION = 0
CV_SUBMINOR_VERSION = 0
CV_WINDOW_AUTOSIZE = 1
CV_CAP_PROP_POS_MSEC = 0
CV_CAP_PROP_POS_FRAMES = 1
CV_CAP_PROP_POS_AVI_RATIO = 2
CV_CAP_PROP_FRAME_WIDTH = 3
CV_CAP_PROP_FRAME_HEIGHT = 4
CV_CAP_PROP_FPS = 5
CV_CAP_PROP_FOURCC = 6
CV_CAP_PROP_FRAME_COUNT = 7
CV_CAP_PROP_FORMAT = 8
CV_CAP_PROP_MODE = 9
CV_CAP_PROP_BRIGHTNESS =10
CV_CAP_PROP_CONTRAST =11
CV_CAP_PROP_SATURATION =12
CV_CAP_PROP_HUE =13
CV_CAP_PROP_GAIN =14
CV_CAP_PROP_CONVERT_RGB =15
def CV_FOURCC(c1,c2,c3,c4):
return (((ord(c1))&255) + (((ord(c2))&255)<<8) + (((ord(c3))&255)<<16) + (((ord(c4))&255)<<24))
# hack the ctypes.Structure class to include printing the fields
class _Structure(Structure):
def __repr__(self):
'''Print the fields'''
res = []
for field in self._fields_:
res.append('%s=%s' % (field[0], repr(getattr(self, field[0]))))
return self.__class__.__name__ + '(' + ','.join(res) + ')'
@classmethod
def from_param(cls, obj):
'''Magically construct from a tuple'''
if isinstance(obj, cls):
return obj
if isinstance(obj, tuple):
return cls(*obj)
raise TypeError
# --- Klassen- und Funktionsdefinitionen -------------------------------------
# 2D point with integer coordinates
class CvPoint(_Structure):
_fields_ = [("x", c_int),
("y", c_int)]
# 2D point with floating-point coordinates
class CvPoint2D32f(_Structure):
_fields_ = [("x", c_float),
("y", c_float)]
# 3D point with floating-point coordinates
class CvPoint3D32f(_Structure):
_fields_ = [("x", c_float),
("y", c_float),
("z", c_float)]
# 2D point with double precision floating-point coordinates
class CvPoint2D64f(_Structure):
_fields_ = [("x", c_double),
("y", c_double)]
CvPoint2D64d = CvPoint2D64f
# 3D point with double precision floating-point coordinates
class CvPoint3D64f(_Structure):
_fields_ = [("x", c_double),
("y", c_double),
("z", c_double)]
CvPoint3D64d = CvPoint3D64f
# pixel-accurate size of a rectangle
class CvSize(_Structure):
_fields_ = [("width", c_int),
("height", c_int)]
# sub-pixel accurate size of a rectangle
class CvSize2D32f(_Structure):
_fields_ = [("width", c_float),
("height", c_float)]
# offset and size of a rectangle
class CvRect(_Structure):
_fields_ = [("x", c_int),
("y", c_int),
("width", c_int),
("height", c_int)]
def bloat(self, s):
return CvRect(self.x-s, self.y-s, self.width+2*s, self.height+2*s)
# A container for 1-,2-,3- or 4-tuples of numbers
class CvScalar(_Structure):
_fields_ = [("val", c_double * 4)]
def __init__(self, *vals):
'''Enable initialization with multiple parameters instead of just a tuple'''
if len(vals) == 1:
super(CvScalar, self).__init__(vals[0])
else:
super(CvScalar, self).__init__(vals)
# Termination criteria for iterative algorithms
class CvTermCriteria(_Structure):
_fields_ = [("type", c_int),
("max_iter", c_int),
("epsilon", c_double)]
# Multi-channel matrix
class CvMat(Structure):
_fields_ = [("type", c_int),
("step", c_int),
("refcount", c_void_p),
("data", c_void_p),
("rows", c_int),
("cols", c_int)]
# Multi-dimensional dense multi-channel matrix
class CvMatNDdata(Union):
_fields_ = [("ptr", POINTER(c_ubyte)),
("s", POINTER(c_short)),
("i", POINTER(c_int)),
("fl", POINTER(c_float)),
("db", POINTER(c_double))]
class CvMatNDdim(Structure):
_fields_ = [("size", c_int),
("step", c_int)]
class CvMatND(Structure):
_fields_ = [("type", c_int),
("dims", c_int),
("refcount", c_void_p),
("data", CvMatNDdata),
("dim", CvMatNDdim*CV_MAX_DIM)]
# IPL image header
class IplImage(Structure):
_fields_ = [("nSize", c_int),
("ID", c_int),
("nChannels", c_int),
("alphaChannel", c_int),
("depth", c_int),
("colorModel", c_char * 4),
("channelSeq", c_char * 4),
("dataOrder", c_int),
("origin", c_int),
("align", c_int),
("width", c_int),
("height", c_int),
("roi", c_void_p),
("maskROI", c_void_p),
("imageID", c_void_p),
("tileInfo", c_void_p),
("imageSize", c_int),
("imageData", c_int),
("widthStep", c_int),
("BorderMode", c_int * 4),
("BorderConst", c_int * 4),
("imageDataOrigin", c_char_p)]
# List of attributes
class CvAttrList(Structure):
_fields_ = [("attr", c_void_p),
("next", c_void_p)]
# Memory storage
_lpCvMemStorage = POINTER("CvMemStorage")
class CvMemStorage(Structure):
_fields_ = [("signature", c_int),
("bottom", c_void_p),
("top", c_void_p),
("parent", _lpCvMemStorage),
("block_size", c_int),
("free_space", c_int)]
SetPointerType(_lpCvMemStorage, CvMemStorage)
class CvMemStoragePos(Structure):
_fields_ = []
# Sequence
class CvSeq(Structure):
_fields_ = [("flags", c_int),
("header_size", c_int),
("h_prev", c_void_p),
("h_next", c_void_p),
("v_prev", c_void_p),
("v_next", c_void_p),
("total", c_int),
("elem_size", c_int),
("block_max", c_void_p),
("ptr", c_void_p),
("delta_elems", c_int),
("storage", POINTER(CvMemStorage)),
("free_blocks", c_void_p),
("first", c_void_p)]
class CvSeqBlock(Structure):
_fields_ = []
class CvSeqWriter(Structure):
_fields_ = []
class CvSeqReader(Structure):
_fields_ = []
# File storage
class CvFileStorage(Structure):
_fields_ = []
# not implemented yet
class CvSparseMat(Structure):
_fields_ = []
class CvContourScanner(Structure):
_fields_ = []
class CvHistogram(Structure):
_fields_ = [('type', c_int),
('bins', c_void_p)]
class CvString(Structure):
_fields_ = []
class CvSlice(Structure):
_fields_ = []
class CvSET(Structure):
_fields_ = []
class CvGraph(Structure):
_fields_ = []
class CvGraphEdge(Structure):
_fields_ = []
class CvGraphScanner(Structure):
_fields_ = []
class CvFileNode(Structure):
_fields_ = []
class CvStringHashNode(Structure):
_fields_ = []
class CvTypeInfo(Structure):
_fields_ = []
class CvContourTree(Structure):
_fields_ = []
class CvBox2D(_Structure):
_fields_ = [('center', CvPoint2D32f),
('size', CvSize2D32f),
('angle', c_float)]
class CvSubdiv2DPoint(Structure):
_fields_ = []
class CvSubdiv2DPointLocation(Structure):
_fields_ = []
class CvKalman(Structure):
_fields_ = []
class CvConDensation(Structure):
_fields_ = []
class CvHaarClassifierCascade(Structure):
_fields_ = []
class CvPOSITObject(Structure):
_fields_ = []
class CvMatr32f(Structure):
_fields_ = []
class CvVect32f(Structure):
_fields_ = []
class CvCapture(Structure):
_fields_ = []
class CvVideoWriter(Structure):
_fields_ = []
class CvSetElem(Structure):
_fields_ = []
class CvGraphVtx(Structure):
_fields_ = []
class CvTreeNodeIterator(Structure):
_fields_ = []
class CvFont(Structure):
_fields_ = []
class CvLineIterator(Structure):
_fields_ = []
class CvModuleInfo(Structure):
_fields_ = []
class IplConvKernel(Structure):
_fields_ = []
class CvConnectedComp(_Structure):
_fields_ = [('area', c_double),
('value', CvScalar),
('rect', CvRect),
('contour', POINTER(CvSeq))]
class CvMOMENTS(Structure):
_fields_ = []
class CvHuMoments(Structure):
_fields_ = []
class CvChain(Structure):
_fields_ = []
class CvChainPtReader(Structure):
_fields_ = []
class CvContour(Structure):
_fields_ = []
class CvCmpFunc(Structure):
_fields_ = []
class CvDistanceFunction(Structure):
_fields_ = []
class CvSubdiv2D(Structure):
_fields_ = []
class CvSubdiv2DEdge(Structure):
_fields_ = []
# --- 1 Operations on Arrays -------------------------------------------------
# --- 1.1 Initialization -----------------------------------------------------
# Creates header and allocates data
cvCreateImage = cfunc('cvCreateImage', _cxDLL, POINTER(IplImage),
('size', CvSize, 1), # CvSize size
('depth', c_int, 1), # int depth
('channels', c_int, 1), # int channels
)
# Allocates, initializes, and returns structure IplImage
cvCreateImageHeader = cfunc('cvCreateImageHeader', _cxDLL, POINTER(IplImage),
('size', CvSize, 1), # CvSize size
('depth', c_int, 1), # int depth
('channels', c_int, 1), # int channels
)
# Releases header
cvReleaseImageHeader = cfunc('cvReleaseImageHeader', _cxDLL, None,
('image', ByRefArg(POINTER(IplImage)), 1), # IplImage** image
)
# Releases header and image data
cvReleaseImage = cfunc('cvReleaseImage', _cxDLL, None,
('image', ByRefArg(POINTER(IplImage)), 1), # IplImage** image
)
# Initializes allocated by user image header
cvInitImageHeader = cfunc('cvInitImageHeader', _cxDLL, POINTER(IplImage),
('image', POINTER(IplImage), 1), # IplImage* image
('size', CvSize, 1), # CvSize size
('depth', c_int, 1), # int depth
('channels', c_int, 1), # int channels
('origin', c_int, 1, 0), # int origin
('align', c_int, 1, 4), # int align
)
# Makes a full copy of image
cvCloneImage = cfunc('cvCloneImage', _cxDLL, POINTER(IplImage),
('image', POINTER(IplImage), 1), # const IplImage* image
)
# Sets channel of interest to given value
cvSetImageCOI = cfunc('cvSetImageCOI', _cxDLL, None,
('image', POINTER(IplImage), 1), # IplImage* image
('coi', c_int, 1), # int coi
)
# Returns index of channel of interest
cvGetImageCOI = cfunc('cvGetImageCOI', _cxDLL, c_int,
('image', POINTER(IplImage), 1), # const IplImage* image
)
# Sets image ROI to given rectangle
cvSetImageROI = cfunc('cvSetImageROI', _cxDLL, None,
('image', POINTER(IplImage), 1), # IplImage* image
('rect', CvRect, 1), # CvRect rect
)
# Releases image ROI
cvResetImageROI = cfunc('cvResetImageROI', _cxDLL, None,
('image', POINTER(IplImage), 1), # IplImage* image
)
# Returns image ROI coordinates
cvGetImageROI = cfunc('cvGetImageROI', _cxDLL, CvRect,
('image', POINTER(IplImage), 1), # const IplImage* image
)
# Creates new matrix
cvCreateMat = cfunc('cvCreateMat', _cxDLL, POINTER(CvMat),
('rows', c_int, 1), # int rows
('cols', c_int, 1), # int cols
('type', c_int, 1), # int type
)
# Creates new matrix header
cvCreateMatHeader = cfunc('cvCreateMatHeader', _cxDLL, POINTER(CvMat),
('rows', c_int, 1), # int rows
('cols', c_int, 1), # int cols
('type', c_int, 1), # int type
)
# Deallocates matrix
cvReleaseMat = cfunc('cvReleaseMat', _cxDLL, None,
('mat', ByRefArg(POINTER(CvMat)), 1), # CvMat** mat
)
# Initializes matrix header
cvInitMatHeader = cfunc('cvInitMatHeader', _cxDLL, POINTER(CvMat),
('mat', POINTER(CvMat), 1), # CvMat* mat
('rows', c_int, 1), # int rows
('cols', c_int, 1), # int cols
('type', c_int, 1), # int type
('data', c_void_p, 1, None), # void* data
('step', c_int, 1), # int step
)