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OpenCV.pas
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OpenCV.pas
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(*********************************************************************
* *
* Borland Delphi 4,5,6,7 API for *
* Intel Open Source Computer Vision Library *
* *
* *
* Portions created by Intel Corporation are *
* Copyright (C) 2000, Intel Corporation, all rights reserved. *
* *
* The original files are: CV.h, CVTypes.h, highgui.h *
* *
* *
* The original Pascal code is: OpenCV.pas, released 29 May 2003. *
* *
* The initial developer of the Pascal code is Vladimir Vasilyev *
* home page : http://www.nextnow.com *
* email : [email protected] *
* *
* Contributors: Andrey Klimov *
*********************************************************************
* Expanded version to use many other functions *
* G. De Sanctis - 9/2005 *
* 1/2012 - "$define V2" use OpenCV 2.3 Dll, else use old OpenCV 1 *
* style Dll *
* 5/2012 - added types CvChar and PCvChar to force AnsiChar type *
* (8 bit characters) in Delphi XE2 *
* 9/2012 - added symbols for use in FreePascal with MSEGui or *
* Lazarus *
* 9/2012 - added symbols for use in Linux with FreePascal *
* *
* 3/2016 - J.P "$define V3" use OpenCV 3.0 Dll *
* disable MSEGUI to use with Lazarus *
* 4/2016 - zbyna several fixes for fpc 64 bit. compiler *
* - added remainig utilities from HighGUI_DLL *
* - fix possibility to use "$define V2" in case of camera *
* incompatibility ( lifecam 6000HD ... ) *
* - fix for 'Not a 24 bit color iplImage!' *
* in IplImage2Bitmap *
*********************************************************************
* *
* *
* The contents of this file are used with permission, subject to *
* the Mozilla Public License Version 1.1 (the "License"); you may *
* not use this file except in compliance with the License. You may *
* obtain a copy of the License at *
* http://www.mozilla.org/MPL/MPL-1.1.html *
* *
* Software distributed under the License is distributed on an *
* "AS IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or *
* implied. See the License for the specific language governing *
* rights and limitations under the License. *
* *
*********************************************************************)
unit OpenCV;
{set here the OpenCV version}
{$define V2}
{If you use Freepascal with MSEGUI define the same symbol,
else if you use Lazarus do not define MSEGUI symbol}
{$ifdef FPC}
{$mode delphi}
// {$define MSEGUI}
{$ifdef LCL}
{$define LAZARUS}
{$endif}
{$endif}
{$A+,Z+}
{$ASSERTIONS on}
interface
uses
{$ifdef MSWINDOWS}
Windows,
{$endif}
{$ifdef FPC}
{$ifdef LAZARUS}
Graphics, FPImage, IntfGraphics,
{$endif}
{$else}
Graphics,
{$endif}
Sysutils,Math,
IPL;
const
{$ifdef MSWINDOWS}
{$ifdef V3}
cvDLL = 'opencv_world300.dll';
videoDLL = 'opencv_world300.dll';
calibDLL = 'opencv_world300.dll';
HighGUI_DLL = 'opencv_world300.dll';
cxCore = 'opencv_world300.dll';
cvCam = 'opencv_world300.dll';
{$else}
{$ifdef V2}
cvDLL = 'opencv_imgproc2412.dll';
videoDLL = 'opencv_video2412.dll';
calibDLL = 'opencv_calib3d2412.dll';
HighGUI_DLL = 'opencv_highgui2412.dll';
cxCore = 'opencv_core2412.dll';
{$else}
cvDLL = 'CV100.DLL';
videoDLL = 'CV100.DLL';
calibDLL = 'CV100.DLL';
HighGUI_DLL = 'HighGUI100.DLL';
cxCore = 'CXCORE100.DLL';
cvCam = 'CVCAM100.DLL';
{$endif}
{$endif}
{$endif}
{$ifdef LINUX}
{$ifdef V2}
cvDLL = 'libcv.so.2.1';
videoDLL = 'libcv.so.2.1';
calibDLL = 'libcv.so.2.1';
HighGUI_DLL = 'libhighgui.so.2.1';
cxCore = 'libcxcore.so.2.1';
{$else}
cvDLL = '???';
videoDLL = '???';
calibDLL = '???';
HighGUI_DLL = '???';
cxCore = '???';
cvCam = '???';
{$endif}
{$endif}
CV_32F = 5;
//CV_32FC1 = CV_32F + 0*8;
CV_MAT_TYPE_MASK = 511;
CV_MAT_MAGIC_VAL = $42420000;
CV_MAT_CONT_FLAG_SHIFT = 14;
CV_MAT_CONT_FLAG = 1 shl CV_MAT_CONT_FLAG_SHIFT;
CV_MAT_CN_MASK = 3 shl 3;
CV_MAT_DEPTH_MASK = 7;
CV_RODRIGUES_M2V = 0;
CV_RODRIGUES_V2M = 1;
CV_LU = 0;
CV_SVD = 1;
{ Constants for color conversion }
CV_BGR2BGRA =0;
CV_RGB2RGBA =CV_BGR2BGRA;
CV_BGRA2BGR =1;
CV_RGBA2RGB =CV_BGRA2BGR;
CV_BGR2RGBA =2;
CV_RGB2BGRA =CV_BGR2RGBA;
CV_RGBA2BGR =3;
CV_BGRA2RGB =CV_RGBA2BGR;
CV_BGR2RGB =4;
CV_RGB2BGR =CV_BGR2RGB;
CV_BGRA2RGBA =5;
CV_RGBA2BGRA =CV_BGRA2RGBA;
CV_BGR2GRAY =6;
CV_RGB2GRAY =7;
CV_GRAY2BGR =8;
CV_GRAY2RGB =CV_GRAY2BGR;
CV_GRAY2BGRA =9;
CV_GRAY2RGBA =CV_GRAY2BGRA;
CV_BGRA2GRAY =10;
CV_RGBA2GRAY =11;
CV_BGR2BGR565 =12;
CV_RGB2BGR565 =13;
CV_BGR5652BGR =14;
CV_BGR5652RGB =15;
CV_BGRA2BGR565=16;
CV_RGBA2BGR565=17;
CV_BGR5652BGRA=18;
CV_BGR5652RGBA=19;
CV_GRAY2BGR565=20;
CV_BGR5652GRAY=21;
CV_BGR2BGR555 =22;
CV_RGB2BGR555 =23;
CV_BGR5552BGR =24;
CV_BGR5552RGB =25;
CV_BGRA2BGR555=26;
CV_RGBA2BGR555=27;
CV_BGR5552BGRA=28;
CV_BGR5552RGBA=29;
CV_GRAY2BGR555=30;
CV_BGR5552GRAY=31;
CV_BGR2XYZ =32;
CV_RGB2XYZ =33;
CV_XYZ2BGR =34;
CV_XYZ2RGB =35;
CV_BGR2YCrCb =36;
CV_RGB2YCrCb =37;
CV_YCrCb2BGR =38;
CV_YCrCb2RGB =39;
CV_BGR2HSV =40;
CV_RGB2HSV =41;
CV_BGR2Lab =44;
CV_RGB2Lab =45;
CV_BayerBG2BGR=46;
CV_BayerGB2BGR=47;
CV_BayerRG2BGR=48;
CV_BayerGR2BGR=49;
CV_BayerBG2RGB=CV_BayerRG2BGR;
CV_BayerGB2RGB=CV_BayerGR2BGR;
CV_BayerRG2RGB=CV_BayerBG2BGR;
CV_BayerGR2RGB=CV_BayerGB2BGR;
CV_BGR2Luv =50;
CV_RGB2Luv =51;
CV_BGR2HLS =52;
CV_RGB2HLS =53;
CV_HSV2BGR =54;
CV_HSV2RGB =55;
CV_Lab2BGR =56;
CV_Lab2RGB =57;
CV_Luv2BGR =58;
CV_Luv2RGB =59;
CV_HLS2BGR =60;
CV_HLS2RGB =61;
CV_FILLED = -(1);
CV_AA = 16;
type
// Delphi XE2 fix
CvChar = AnsiChar;
PCvChar = PAnsiChar;
TpCVCharArray = array [0 .. 0] of pCVChar; // by Zbyna
ppCVChar = ^TpCVCharArray; // by zbyna
//--------------
UCHAR = {$IFDEF WINDOWS} Windows.UCHAR {$ELSE} Byte {$ENDIF};
PUCHAR = {$IFDEF WINDOWS} Windows.PUCHAR {$ELSE} ^Byte {$ENDIF};
PINT = {$IFDEF WINDOWS} Windows.PINT {$ELSE} ^integer {$ENDIF};
PCvVect32f = PSingle;
TCvVect32fArr=array of Single;
PCvMatr32f = PSingle;
TCvMatr32fArr=array of Single;
TIntegerArr=array of Integer;
CvSize = record
width : longint;
height : longint;
end;
TCvSize = CvSize;
PCvSize = ^TCvSize;
CvPoint2D32f = record
x : Single;
y : Single;
end;
TCvPoint2D32f = CvPoint2D32f;
PCvPoint2D32f = ^TCvPoint2D32f;
TCvPoint2D32fArr=array of TCvPoint2D32f;
CvPoint3D32f = record
x : Single;
y : Single;
z : Single;
end;
TCvPoint3D32f = CvPoint3D32f;
PCvPoint3D32f = ^TCvPoint3D32f;
TCvPoint3D32fArr=array of TCvPoint3D32f;
TMatData = record
ptr: PUCHAR;
end;
CvMat = record
type_ : Integer;
step : Integer;
refcount : PInteger;
hdr_refcount: {$ifdef CPU64}int64{$else}integer{$endif};
data : TMatData;
rows : Integer;
cols : Integer;
end;
TCvMat = CvMat;
PCvMat = ^TCvMat;
P2PCvMat = ^PCvMat;
{ CvArr* is used to pass arbitrary array-like data structures
into the functions where the particular
array type is recognized at runtime }
// CvArr = void;
PCvArr = Pointer;
P2PCvArr = ^PCvArr;
//****************************************************************************************\
//* Multi-dimensional dense array (CvMatND) *
//****************************************************************************************/
const
CV_MATND_MAGIC_VAL = $42430000;
CV_TYPE_NAME_MATND = 'opencv-nd-matrix';
CV_MAX_DIM = 32;
CV_MAX_DIM_HEAP = 1 shl 16;
type
CvMatND = record
_type : longint;
dims : longint;
refcount : ^longint;
data : record
case longint of
0 : ( ptr : ^uchar );
1 : ( fl : ^double );
2 : ( db : ^double );
3 : ( i : ^longint );
4 : ( s : ^smallint );
end;
dim : array[0..(CV_MAX_DIM)-1] of record
size : longint;
step : longint;
end;
end;
{***************************************************************************************\
* Histogram *
\*************************************************************************************** }
type
CvHistType = longint;
const
CV_HIST_MAGIC_VAL = $42450000;
CV_HIST_UNIFORM_FLAG = 1 shl 10;
{ indicates whether bin ranges are set already or not }
CV_HIST_RANGES_FLAG = 1 shl 11;
CV_HIST_ARRAY = 0;
CV_HIST_SPARSE = 1;
CV_HIST_TREE = CV_HIST_SPARSE;
{ should be used as a parameter only,
it turns to CV_HIST_UNIFORM_FLAG of hist->type }
CV_HIST_UNIFORM = 1;
{ for uniform histograms }
{ for non-uniform histograms }
{ embedded matrix header for array histograms }
type
CvHistogram = record
_type : longint;
bins : PCvArr;
thresh : array[0..(CV_MAX_DIM)-1] of array[0..1] of float;
thresh2 : P2Pfloat;
mat : CvMatND;
end;
PCvHistogram = ^CvHistogram;
P2PCvHistogram = ^PCvHistogram;
//******************************** Memory storage ****************************************/
Type
PCvMemBlock = ^TCvMemBlock;
CvMemBlock = Record
prev : PCvMemBlock;
next : PCvMemBlock;
end;
TCvMemBlock = CvMemBlock;
Const CV_STORAGE_MAGIC_VAL = $42890000;
Type
PCvMemStorage = ^TCvMemStorage;
CvMemStorage = Record
signature : longint;
bottom : PCvMemBlock; //* first allocated block */
top : PCvMemBlock; //* current memory block - top of the stack */
parent : PCvMemStorage; //* borrows new blocks from */
block_size: longint; //* block size */
free_space: longint; //* free space in the current block */
end;
TCvMemStorage = CvMemStorage;
{************************************ CvScalar **************************************** }
CvScalar = record
val : array[0..3] of double;
end;
PCvScalar = ^CvScalar;
{************************************** CvRect **************************************** }
type
CvRect = record
x : longint;
y : longint;
width : longint;
height : longint;
end;
{************************************ CvSlice *****************************************}
type
CvSlice = record
start_index: longint;
end_index : longint;
end;
const
CV_WHOLE_SEQ_END_INDEX = $3fffffff;
var
CV_WHOLE_SEQ: cvSlice;
{********************************** Sequence ****************************************** }
{ previous sequence block }
{ next sequence block }
{ index of the first element in the block +
sequence->first->start_index }
{ number of elements in the block }
{ pointer to the first element of the block }
type
PCvSeqBlock = ^CvSeqBlock;
CvSeqBlock = record
prev : PCvSeqBlock;
next : PCvSeqBlock;
start_index : longint;
count : longint;
data : puchar;
end;
PCvSeq = ^CvSeq;
P2PCvSeq = ^PCvSeq;
CvSeq = record
flags : longint;
header_size : longint;
h_prev : PCvSeq;
h_next : PCvSeq;
v_prev : PCvSeq;
v_next : PCvSeq;
total : longint;
elem_size : longint;
block_max : Puchar;
ptr : Puchar;
delta_elems : longint;
storage : PCvMemStorage;
free_blocks : PCvSeqBlock;
first : PCvSeqBlock;
end;
PCvContour = ^CvContour;
CvContour = record
flags: longint; //* micsellaneous flags */
header_size: longint; //* size of sequence header */
h_prev: Pcvseq; //* previous sequence */
h_next: Pcvseq; //* next sequence */
v_prev: Pcvseq; //* 2nd previous sequence */
v_next: Pcvseq; //* 2nd next sequence */
total: longint; //* total number of elements */
elem_size: longint; //* size of sequence element in bytes */
block_max: PuChar; //* maximal bound of the last block */
ptr: PuChar; //* current write pointer */
delta_elems: longint; //* how many elements allocated when the seq grows */
storage: PCvMemStorage ; //* where the seq is stored */
free_blocks: PCvSeqBlock; //* free blocks list */
first: PCvSeqBlock; //* pointer to the first sequence block */
rect: CvRect ;
color: longint;
reserved: array [0..2] of longint;
end;
{*************************** Connected Component ************************************* }
{ area of the connected component }
{ average color of the connected component }
{ ROI of the component }
{ optional component boundary
(the contour might have child contours corresponding to the holes) }
CvConnectedComp = record
area : double;
value : CvScalar;
rect : CvRect;
contour : PCvSeq;
end;
PCvConnectedComp = ^CvConnectedComp;
{****************************** CvPoint and variants ********************************** }
type
CvPoint = record
x : longint;
y : longint;
end;
PCvPoint = ^CvPoint;
CvPoint2D64f = record
x : double;
y : double;
end;
CvPoint3D64f = record
x : double;
y : double;
z : double;
end;
CvSize2D32f = record
width : float;
height : float;
end;
{ center of the box }
{ box width and length }
{ angle between the horizontal axis
and the first side (i.e. length) in radians }
CvBox2D = record
center : CvPoint2D32f;
size : CvSize2D32f;
angle : float;
end;
PCvBox2D = ^CvBox2D;
{ Line iterator state }
{ pointer to the current point }
{ Bresenham algorithm state }
CvLineIterator = record
ptr : ^uchar;
err : longint;
plus_delta : longint;
minus_delta : longint;
plus_step : longint;
minus_step : longint;
end;
//*********************************** CvTermCriteria *************************************/
Const
CV_TERMCRIT_ITER = 1;
CV_TERMCRIT_NUMB = CV_TERMCRIT_ITER;
CV_TERMCRIT_EPS = 2;
Type
CvTermCriteria = Record
type_ : integer; { may be combination of CV_TERMCRIT_ITER, CV_TERMCRIT_EPS }
maxIter : integer;
epsilon : double;
end;
TCvTermCriteria = CvTermCriteria;
{\*********************************** CvTermCriteria *************************************}
Procedure cvRodrigues2( rotMatrix : PCVMAT;
rotVector : PCVMAT;
jacobian : PCVMAT;
convType : Integer ); cdecl ;
{ Initializes CvMat header }
const
CV_AUTOSTEP = $7fffffff;
Function cvInitMatHeader( mat: PCvMat; rows, cols,
type_: integer; data: pointer = 0;
step: integer = CV_AUTOSTEP ): PCvMat; cdecl;
{ Allocates and initalizes CvMat header }
Function cvCreateMatHeader(rows, cols, type_: integer ): PCvMat; cdecl;
{ Attaches user data to the array header. The step is reffered to
the pre-last dimension. That is, all the planes of the array
must be joint (w/o gaps) }
Procedure cvSetData(arr: PCvArr; data: pointer; step: integer ); cdecl;
{ Allocates array data }
Procedure cvCreateData( arr : PCvArr ); cdecl;
{ Releases array data }
Procedure cvReleaseData(arr : PCvArr ); cdecl;
const
CV_CN_SHIFT = 3;
CV_8U =0;
CV_8S =1;
CV_16U =2;
CV_16S =3;
CV_32S =4;
CV_64F =6;
var
// CV_8UC3 CV_MAKETYPE(CV_8U,3)
CV_8UC3 : longint;
{ Allocates and initializes CvMat header and allocates data }
Function cvCreateMat( rows, cols, _type: integer ): PCvMat ; cdecl;
{ Releases CvMat header and deallocates matrix data
(reference counting is used for data) }
Procedure cvReleaseMat( mat: P2PCvMat ); cdecl;
{ Selects row span of the input array: arr(start_row:delta_row:end_row,:)
(end_row is not included into the span). }
Function cvGetRows( const arr: PCvArr; submat: PCvMat;
start_row, end_row: integer;
delta_row: integer = 1 ): PCvMat; cdecl;
Function cvInvert( const A : PCvArr; B : PCvArr; method : integer ) : double; cdecl;
Function cvPseudoInverse( const src : PCvArr; dst : PCvArr ) : double;
// Before OpenCV version 1.0
// Procedure cvMultiplyAcc( const A,B,C : PCvArr; D : PCvArr ); cdecl;
Procedure cvMultiplyAcc( const A,B,C : PCvArr; D : PCvArr ); cdecl;
Procedure cvMul( const A,B,C : PCvArr; scale: double=1.0); cdecl;
Procedure cvMatMul( A,B,D : PCvArr );
// Finds sum of array elements
Function cvSum( arr : PCvArr ): CvScalar; cdecl;
// Calculates number of non-zero pixels
Function cvCountNonZero( arr: PCvArr ): integer; cdecl;
// Subtracts one array from another one
Procedure cvSub( src1, src2, dst: PCvArr; mask: PCvArr = 0 ); cdecl;
// dst(mask) = src1(mask) + src2(mask) */
Procedure cvAdd( src1, src2, dst: PCvArr;
mask: PCvArr = 0); cdecl;
// dst(mask) = src(mask) + value */
Procedure cvAddS( src: PCvArr; value : CvScalar; dst: PCvArr;
mask: PCvArr = 0); cdecl;
const
CV_CMP_EQ = 0;
CV_CMP_GT = 1;
CV_CMP_GE = 2;
CV_CMP_LT = 3;
CV_CMP_LE = 4;
CV_CMP_NE = 5;
// dst(idx) = src1(idx) _cmp_op_ src2(idx) */
Procedure cvCmp( const src1, src2: PCvArr;
dst: PCvArr; cmp_op: integer ); cdecl;
// Calculates mean and standard deviation of pixel values */
Procedure cvAvgSdv( arr: PCvArr; mean, std_dev: PCvScalar;
mask: PCvArr = 0 ); cdecl;
Function cvAvg( arr: PCvarr; mask: PCvarr = nil): cvscalar; cdecl;
//* Finds global minimum, maximum and their positions */
Procedure cvMinMaxLoc( arr: PCvarr; min_val, max_val: Pdouble;
var min_loc: Cvpoint;
var max_loc: Cvpoint;
mask: PCvarr = nil ); cdecl;
const
CV_DXT_FORWARD =0;
CV_DXT_INVERSE =1;
CV_DXT_SCALE =2; //* divide result by size of array */
CV_DXT_INV_SCALE = 3;//(CV_DXT_INVERSE + CV_DXT_SCALE)
CV_DXT_INVERSE_SCALE=CV_DXT_INV_SCALE;
CV_DXT_ROWS =4; //* transform each row individually */
CV_DXT_MUL_CONJ =8; //* conjugate the second argument of cvMulSpectrums */
{ Discrete Fourier Transform:
complex->complex,
real->ccs (forward),
ccs->real (inverse) }
Procedure cvDFT( const src, dst: PCvArr; flags: integer;
nonzero_rows: integer = 0 ); cdecl;
{ Returns optimal DFT size for a given vector size. }
Function cvGetOptimalDFTSize( size0: integer ): integer;
//* Does cartesian->polar coordinates conversion.
// Either of output components (magnitude or angle) is optional */
Procedure cvCartToPolar( x, y: PCvArr;
magnitude: PCvArr; angle: PCvArr = 0;
angle_in_degrees: integer = 0); cdecl;
//* Does polar->cartesian coordinates conversion.
// Either of output components (magnitude or angle) is optional.
// If magnitude is missing it is assumed to be all 1's */
Procedure cvPolarToCart( magnitude, angle: PCvArr;
x, y: PCvArr;
angle_in_degrees: integer = 0); cdecl;
// Calculates the natural logarithm of every array elementҳ absolute value.
Procedure cvLog( const src: PCvArr; dst: PCvArr ); cdecl;
// types of array norm */
const
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 or CV_C);
CV_DIFF_L1 =(CV_DIFF or CV_L1);
CV_DIFF_L2 =(CV_DIFF or CV_L2);
CV_RELATIVE_C =(CV_RELATIVE or CV_C);
CV_RELATIVE_L1 =(CV_RELATIVE or CV_L1);
CV_RELATIVE_L2 =(CV_RELATIVE or CV_L2);
Function cvNorm( arr1: PCvarr; arr2: PCvarr=nil; norm_type: Longint=CV_L2; mask: PCvarr=nil ): double;
const
CV_32FC1 = 5;
CV_32FC2 = 13;
CV_32FC3 = 21;
CV_32SC1 = 4;
CV_32SC2 = 12;
CV_32SC3 = 20;
Function cvMat_( rows, cols, type_: Integer; data : Pointer ):TCvMat;
Function cvmGet( const mat : PCvMat; i, j : integer): Single;
Procedure cvmSet( mat : PCvMat; i, j : integer; val: Single);
Function cvSize_( width, height : integer ) : TcvSize;
//* simple API for reading/writing data */
Procedure cvSave( filename: PCvChar; struct_ptr: pointer;
name: PCvChar = nil;
comment: PCvChar = nil;
attributes: pointer = nil); cdecl;
// attributes: cvattrlist = nil); cdecl;
Function cvLoad( filename: PCvChar;
memstorage: PCvMemStorage = nil;
name: PCvChar = nil;
real_name: PCvChar = nil ): pointer; cdecl;
{ load image from file
iscolor: >0 - output image is always color,
0 - output image is always grayscale,
<0 - output image is color or grayscale dependending on the file }
type
TCvLoadImageIsColor = ( CV_LOAD_IMAGE_GRAYSCALE = 0, CV_LOAD_IMAGE_COLOR = 1, CV_LOAD_IMAGE_UNCHANGED = -1);
Function cvLoadImage( const filename : PCvChar; iscolor : TCvLoadImageIsColor=CV_LOAD_IMAGE_COLOR) : PIplImage; cdecl;
Function cvSaveImage( const filename : PCvChar; const image : Pointer) : integer; cdecl;
{ <malloc> wrapper.
If there is no enough memory, the function
(as well as other OpenCV functions that call cvAlloc)
raises an error. }
Function cvAlloc( size: longint ): pointer; cdecl;
{ <free> wrapper.
Here and further all the memory releasing functions
(that all call cvFree) take double pointer in order to
to clear pointer to the data after releasing it.
Passing pointer to NULL pointer is Ok: nothing happens in this case
}
Procedure cvFree( ptr: PPointer); cdecl;
Procedure cvRelease(struct_ptr: PPointer ); cdecl;
{ Allocates and initializes IplImage header }
Function cvCreateImageHeader( size : TCvSize; depth, channels : integer ) : PIplImage; cdecl;
{ Releases (i.e. deallocates) IPL image header : void cvReleaseImageHeader( IplImage** image );}
Procedure cvReleaseImageHeader( var image : PIplImage ); cdecl;
{ Releases IPL image header and data }
Procedure cvReleaseImage( var image : PIplImage ); cdecl;
{ Creates a copy of IPL image (widthStep may differ). }
Function cvCloneImage( const image : PIplImage ) : PIplImage; cdecl;
{ Makes a new matrix from <rect> subrectangle of input array.
No data is copied }
Function cvGetSubRect(arr: PCvArr; submat: PCvMat; rect: CvRect ): PCvMat; cdecl;
{ Converts input array from one color space to another. }
Procedure cvCvtColor( const src : PCvArr; dst : PCvArr; colorCvtCode : integer ); cdecl;
{ Const for cvResize }
type TcvResizeInterpolation = (
CV_INTER_NN = 0,
CV_INTER_LINEAR = 1,
CV_INTER_CUBIC = 2,
CV_INTER_AREA = 3 );
{ Resizes image (input array is resized to fit the destination array) }
Procedure cvResize( const src : PCvArr; dst : PCvArr;
interpolation: TcvResizeInterpolation = CV_INTER_LINEAR ); cdecl;
{ Creates new memory storage.
block_size == 0 means that default, somewhat optimal size, is used (currently, it is 64K). }
Function cvCreateMemStorage( block_size : integer =0) : PCvMemStorage; cdecl;
{ Releases memory storage. All the children of a parent must be released before
the parent. A child storage returns all the blocks to parent when it is released }
Procedure cvReleaseMemStorage( var storage : PCvMemStorage ); cdecl;
{ Clears memory storage. This is the only way(!!!) (besides cvRestoreMemStoragePos)
to reuse memory allocated for the storage - cvClearSeq,cvClearSet ...
do not free any memory.
A child storage returns all the blocks to the parent when it is cleared }
Procedure cvClearMemStorage( storage: PCvMemStorage );
{ Detects corners on a chess-board - "brand" OpenCV calibration pattern }
{ only in OpenCV V1 }
{$ifndef V3 AND $ifndef V2}
Function cvFindChessBoardCornerGuesses( const arr : Pointer;
thresh : Pointer;
storage : PCvMemStorage;
etalon_size : TCvSize;
corners : PCvPoint2D32f;
corner_count : PInteger ) : integer; cdecl;
{$endif}
{ Adjust corner position using some sort of gradient search }
Procedure cvFindCornerSubPix( const src : Pointer;
corners : PCvPoint2D32f;
count : integer;
win : TCvSize;
zero_zone : TCvSize;
criteria : TCvTermCriteria ); cdecl;
//cvCreateSeq
{ Creates new empty sequence that will reside in the specified storage }
Function cvCreateSeq( seq_flags, header_size,
elem_size: longint; storage: PCvMemStorage ): PCvSeq; cdecl;
//cvGetSeqElem
{ Retrives pointer to specified sequence element.
Negative indices are supported and mean counting from the end
(e.g -1 means the last sequence element) }
Function cvGetSeqElem( seq: PCvSeq; index: longint ): PCvChar; cdecl;
{-----------------------------------------------}
{Delphi procedure to convert a OCV iplImage to a Delphi bitmap}
procedure IplImage2Bitmap(iplImg: PIplImage; var bitmap: TBitmap);
{Delphi procedure to convert a Delphi bitmap to a OCV iplImage}
procedure Bitmap2IplImage(iplImg: PIplImage; bitmap: TBitmap);
{Delphi procedure to convert a OCV 32 bit iplImage to a 8 bit image}
procedure IplImage32FTo8Bit(Img32, Img8: PIplImage);
{functions/procedures not in DLL, written in this unit}
function cvScalar_(val0:double; val1:double; val2:double; val3:double):CvScalar;
function cvScalarAll(val0123:double):CvScalar;
function cvFloor(value: double): longint;
function cvRound(value:double):longint;
function cvPoint_( x, y: longint ): CvPoint;
function cvPointFrom32f_( point: CvPoint2D32f ): CvPoint;
function cvPointTo32f_(point: CvPoint ): CvPoint2D32f;
function cvTermCriteria_( type_: longint; max_iter: longint; epsilon: double ): CvTermCriteria;
function CV_RGB(r,g,b : longint) : CvScalar;
procedure cvEllipseBox(img:PCvArr; box:CvBox2D; color:CvScalar; thickness:longint;
line_type:longint; shift:longint);
function cvRect_( x, y, width, height: longint ): CvRect;
procedure CV_SWAP(var a, b, t: pointer);
function cvGetSize(arr: PIplImage):CvSize;
function cvSlice_(start, end_: longint ): CvSlice;
function cvContourPerimeter( contour: PCvSeq ): double;
procedure cvCalcBackProject(image:P2PIplImage; dst:PCvArr; hist:PCvHistogram);
procedure cvCalcHist(image:P2PIplImage; hist:PCvHistogram; accumulate:longint; mask:PCvArr);
function cvQueryHistValue2D(hist:CvHistogram; idx0:longint; idx1:longint):double;
{-----------------------------------------------}
{ Creates IPL image (header and data) }
function cvCreateImage(size:CvSize; depth:longint; channels:longint):PIplImage;
cdecl;
{ Copies source array to destination array }
procedure cvCopy(src:PCvArr; dst:PCvArr; mask:PCvArr); cdecl;
{ dst(idx) = ~src(idx) }
procedure cvNot( src, dst:PCvArr); cdecl;
{ dst(idx) = lower <= src(idx) < upper }
procedure cvInRangeS(src:PCvArr; lower:CvScalar; upper:CvScalar; dst:PCvArr);
cdecl;
{ Creates new histogram }
function cvCreateHist(dims:longint; sizes:Plongint; _type:longint; ranges:P2Pfloat;
uniform:longint): PCvHistogram; cdecl;
{ Releases histogram }
procedure cvReleaseHist(hist: P2PCvHistogram); cdecl;
{ Calculates array histogram }
procedure cvCalcArrHist(arr:P2PCvArr; hist:PCvHistogram; accumulate:longint; mask:PCvArr);
cdecl;
{ Finds indices and values of minimum and maximum histogram bins }
procedure cvGetMinMaxHistValue(hist:PCvHistogram; min_value:PFloat;
max_value:PFloat; min_idx:Plongint; max_idx:Plongint); cdecl;
{ Calculates back project }
procedure cvCalcArrBackProject(image:P2PCvArr; dst:PCvArr; hist:PCvHistogram);
cdecl;
{ equalizes histogram of 8-bit single-channel image }
procedure cvEqualizeHist( src, dst:PCvArr ); cdecl;
{ Set array elements to value }
procedure cvSet( arr: PCvArr; value: CvScalar; const mask:PCvArr=nil ); cdecl;
{ Clears all the array elements (sets them to 0) }
procedure cvSetZero(arr:PCvArr); cdecl;
procedure cvZero(arr:PCvArr); cdecl;
{ Sets image ROI (region of interest) (COI is not changed) }
procedure cvSetImageROI(image:PIplImage; rect:CvRect); cdecl;
{ Sets a Channel Of Interest (only a few functions support COI) -
use cvCopy to extract the selected channel and/or put it back }
procedure cvSetImageCOI( image: PIplImage; coi: longint ); cdecl;
{ Resets image ROI and COI }
procedure cvResetImageROI(image:PIplImage); cdecl;
{ Performs linear transformation on every source array element:
dst(x,y,c) = scale*src(x,y,c)+shift.
Arbitrary combination of input and output array depths are allowed
(number of channels must be the same), thus the function can be used
for type conversion }
procedure cvConvertScale(src:PCvArr; dst:PCvArr; scale:double; shift:double);
cdecl;
{ Splits a multi-channel array into the set of single-channel arrays or
extracts particular [color] plane }
procedure cvSplit(src:PCvArr; dst0:PCvArr; dst1:PCvArr; dst2:PCvArr; dst3:PCvArr);
cdecl;
{ Merge until 3 single-channel arrays into a multi-channel array }
procedure cvMerge(src0:PCvArr; src1:PCvArr; src2:PCvArr; src3:PCvArr; dst:PCvArr);
cdecl;