PureBasic Interface to OpenCV

[Philippe-felixer76-3]

http://opencv.org/opencv-2-4-8.html is out..

[JHPJHP]

Thanks Philippe-felixer76-3.

---------------------------------------

Updated the binaries
- OpenCV v2.4.7.2 to v2.4.8
-- added vc12 files / folder (\binaries\x86\vc12\)
- added Microsoft Visual Studio 2013 C Runtime files
-- v12 files / folder (\binaries\x86\cRt\v12\)
- updated the haarcascade (face) classifiers
- updated manual.pdf, tutorials.pdf, cheatsheet.pdf, license.txt

Most of the examples have been tested and found working.

[JHPJHP]

Added 2 examples based on a question Philippe-felixer76-3 had about using a PureBasic image with OpenCV.
- cv_pbimage_1.pb: formats a PureBasic image to work with OpenCV
- cv_pbimage_2.pb: formats a PureBasic image to work with OpenCV (contributed by Philippe-felixer76-3)
-- using a faster formatting method then cv_pbimage_1.pb

-------------------------------

Repost
- for anyone interested - there's going to be a delay completing this example:

I'm in the process of writing an image comparison (SIFT - Scale Invariant Feature Transform) example

I'm having trouble working out the following Structure / Function:
- Structure / Function included with latest update

Code: Select all

*spilltree.CvFeatureTree = cvCreateKDTree(*descriptors)

NB*: If anyone is interested in working on this... I can post more information; let me know.

[Philippe-felixer76-3]

Added 2 examples based on a question Philippe-felixer76-3 had about using a PureBasic image with OpenCV.
- cv_pbimage_1.pb: formats a PureBasic image to work with OpenCV
- cv_pbimage_2.pb: formats a PureBasic image to work with OpenCV (contributed by Philippe-felixer76-3)
-- using a faster formatting method then cv_pbimage_1.pb

-------------------------------

Repost
- for anyone interested - there's going to be a delay completing this example:

I'm in the process of writing an image comparison (SIFT - Scale Invariant Feature Transform) example

I'm having trouble working out the following Structure / Function:
- Structure / Function included with latest update

Code: Select all

*spilltree.CvFeatureTree = cvCreateKDTree(*descriptors)

NB*: If anyone is interested in working on this... I can post more information; let me know.

Nice work, JHPJHP

Made some PB circle samples: https://www.dropbox.com/s/z85f7dxoyjkw43l/circle.zip

(Uses the cvHoughCircles http://opencvlover.blogspot.nl/2012/07/ ... avacv.html)

[JHPJHP]

Hi Philippe-felixer76-3,

Your example: cv_circle_1.pb is very close to the existing example: cv_hough_2.pb, so to minimize redundancy I won't be adding it to the package. Your example: cv_cam_circle.pb puts a nice spin on the existing example by executing the Hough transform algorithm on a movie file, and would be a good addition to the package...

----------------------------------------------

Update:
- added 1 example (jointly contributed by Philippe-felixer76-3)
-- cv_mov_hough.pb: finds circles in grayscale image frames using the Hough transform on a movie file
-- added 1 movie file: ball.mp4

[dige]

hi JHPJHP, thank you very much for sharing your hard work!
I particularly interested in the features for face recognition.
OpenCV makes as a good job, but how can I train the system
and expand the haarcascade.xml?

And how can I recognize and compare faces? Does OpenCV something
like that?

Regards, Dige

[JHPJHP]

Hi dige,

I appreciate the thanks, and you're welcome.

Yes - OpenCV can do exactly that... train "the system" to compare faces.

As you probably already know the current examples: cv_cam_face.pb & cv_face.pb are for "Face Detection" not "Face Recognition". I've been meaning to put together a face recognition example, and hopefully will find the time sooner then later.

In the mean time if you or anyone else would like to create your own examples, the following link should give you a good headstart:

http://www.shervinemami.info/faceRecognition.html

Cheers!

[AAT]

Hi, JHPJHP

For now I study an example "Number Plate Recognition" (written on C++) from https://github.com/MasteringOpenCV/code ... ecognition
and I can't initialize and to work with SVM in PB. Can you give me any advice or help, please?

Good luck!

[Philippe-felixer76-3]

Hi, JHPJHP

For now I study an example "Number Plate Recognition" (written on C++) from https://github.com/MasteringOpenCV/code ... ecognition
and I can't initialize and to work with SVM in PB. Can you give me any advice or help, please?

Good luck!

I find this interesting also.

[AAT]

There is no progress with SVM and OCR. You can test code without recognition. Test pictures (from internet) on http://rghost.ru/51414957

Code: Select all

IncludeFile "includes/cv_functions.pbi"

Global GetCV.b, *save.IplImage, ExitCV.b, lpPrevWndFunc

;--------------------------------------------------------------
#Pdebug = 0         ; =1 - to display all images ans debug info
;--------------------------------------------------------------

#CV_WINDOW_NAME = "Number plate recognition"
#CV_DESCRIPTION = "Number plate recognition"

#CV_SHAPE_RECT            = 0
#CV_SHAPE_CROSS           = 1
#CV_SHAPE_ELLIPSE         = 2
#CV_SHAPE_CUSTOM          = 100

#CV_MOP_ERODE             = 0
#CV_MOP_DILATE            = 1
#CV_MOP_OPEN              = 2
#CV_MOP_CLOSE             = 3
#CV_MOP_GRADIENT          = 4
#CV_MOP_TOPHAT            = 5
#CV_MOP_BLACKHAT          = 6


Structure IplConvKernel Align #PB_Structure_AlignC
  nCols.l
  nRows.l
  anchorX.l
  anchorY.l
  *values.LONG
  nShiftR.l              
EndStructure


ImportC "opencv_imgproc248.lib"
  cvGetRectSubPix(*src, *dst, centerx.f, centery.f)
EndImport


Procedure WindowCallback(hWnd, Msg, wParam, lParam)
  Select Msg
    Case #WM_COMMAND
      Select wParam
        Case 1
          GetCV = #True
          keybd_event_(#VK_ESCAPE, 0, 0, 0)
        Case 2
          FileName.s = SaveFile()

          If FileName
            params.SAVE_INFO

            Select LCase(GetExtensionPart(FileName))
              Case "jpeg", "jpg", "jpe"
                params\paramId = #CV_IMWRITE_JPEG_QUALITY
                params\paramValue = 95
              Case "png"
                params\paramId = #CV_IMWRITE_PNG_COMPRESSION
                params\paramValue = 3
              Case "ppm", "pgm", "pbm"
                params\paramId = #CV_IMWRITE_PXM_BINARY
                params\paramValue = 1
              Default
                Select SelectedFilePattern()
                  Case 0
                    FileName + ".jpg"
                    params\paramId = #CV_IMWRITE_JPEG_QUALITY
                    params\paramValue = 95
                  Case 1
                    FileName + ".png"
                    params\paramId = #CV_IMWRITE_PNG_COMPRESSION
                    params\paramValue = 3
                  Case 2
                    FileName + ".ppm"
                    params\paramId = #CV_IMWRITE_PXM_BINARY
                    params\paramValue = 1
                EndSelect
            EndSelect
            cvSaveImage(FileName, *save, @params)
          EndIf
        Case 10
          keybd_event_(#VK_ESCAPE, 0, 0, 0)
      EndSelect
    Case #WM_DESTROY
      ExitCV = #True
  EndSelect
  ProcedureReturn CallWindowProc_(lpPrevWndFunc, hWnd, Msg, wParam, lParam)
EndProcedure

ProcedureC CvMouseCallback(event, x, y, flags, *param.USER_INFO)
  Select event
    Case #CV_EVENT_RBUTTONDOWN
      *save.IplImage = *param\uPointer1
      DisplayPopupMenu(0, *param\uValue)
  EndSelect
EndProcedure

Procedure OpenCV(ImageFile.s)
  If FileSize(ImageFile) > 0
    
    brect.CvRect 
    
    cvNamedWindow(#CV_WINDOW_NAME, #CV_WINDOW_NORMAL)
    window_handle = cvGetWindowHandle(#CV_WINDOW_NAME)
    *window_name = cvGetWindowName(window_handle)
    lpPrevWndFunc = SetWindowLongPtr_(window_handle, #GWL_WNDPROC, @WindowCallback())

    If CreatePopupImageMenu(0, #PB_Menu_ModernLook)
      MenuItem(1, "Open")
      MenuBar()
      MenuItem(2, "Save")
      MenuBar()
      MenuItem(10, "Exit")
    EndIf
    hwnd = GetParent_(window_handle)
    ExtractIconEx_("shell32.dll", 1, #Null, @phiconSmall, 1)
    SendMessage_(hwnd, #WM_SETICON, 0, phiconSmall)
    wStyle = GetWindowLongPtr_(hwnd, #GWL_STYLE)
    SetWindowLongPtr_(hwnd, #GWL_STYLE, wStyle & ~(#WS_MAXIMIZEBOX | #WS_MINIMIZEBOX | #WS_SIZEBOX))
    *image.IplImage = cvLoadImage(ImageFile, #CV_LOAD_IMAGE_ANYDEPTH | #CV_LOAD_IMAGE_ANYCOLOR)
    
    iWidth = *image\width
    iHeight = *image\height
    cvResizeWindow(#CV_WINDOW_NAME, iWidth, iHeight)
  
    cvMoveWindow(#CV_WINDOW_NAME, 20, 20)
    ToolTip(window_handle, #CV_DESCRIPTION)
    
    If *image\nChannels = 1
      *gray.IplImage = cvCloneImage(*image)
    Else
      *gray.IplImage = cvCreateImage(*image\width, *image\height, #IPL_DEPTH_8U, 1)
      cvCvtColor(*image, *gray, #CV_BGR2GRAY, 1)
    EndIf
    If #Pdebug 
      cvShowImage("Gray", *gray)
    EndIf
    
    cvSmooth(*gray, *gray, #CV_BLUR, 5, 0, 0, 0)
    
    *img_sobel.IplImage = cvCreateImage(*image\width, *image\height, #IPL_DEPTH_8U, 1)
    cvSobel(*gray, *img_sobel, 1, 0, 3)
    If #Pdebug 
      cvShowImage("Sobel", *img_sobel)
    EndIf  
    
    *img_threshold.IplImage = cvCloneImage(*img_sobel)
    threshold.d = cvThreshold2(*img_sobel, *img_threshold, 0, 255, #CV_THRESH_BINARY + #CV_THRESH_OTSU)    
    If #Pdebug 
      cvShowImage("Tresh", *img_threshold)      
    EndIf  
    
    *ConvKernel.IplConvKernel = cvCreateStructuringElementEx(17, 5, 0, 0, #CV_SHAPE_RECT, 0)
    *temp.IplImage = cvCloneImage(*img_threshold)
    cvMorphologyEx(*img_threshold, *img_threshold, *temp, *ConvKernel, #CV_MOP_CLOSE, 1)
    If #Pdebug 
      cvShowImage("Morphology", *img_threshold) 
    EndIf
    
    *storage.CvMemStorage = cvCreateMemStorage(0)
    cvClearMemStorage(*storage)
    *contours.CvSeq    
    nContours = cvFindContours(*img_threshold, *storage, @*contours, SizeOf(CvContour), #CV_RETR_EXTERNAL, #CV_CHAIN_APPROX_NONE, 0, 0)     
    
    *contour.IplImage = cvCreateImage(*gray\width, *gray\height, #IPL_DEPTH_8U, 3)
    cvSet(*contour, 5, 5, 5, 0, #Null)
    
    box.CvBox2D
    Dim pt1.CvPoint2D32f(4)
    Dim boxes.CvBox2D(0)
    
    aspect.f = 45.0 /77.0
    error.f = 0.35
    minHeight.f = 28
    maxHeight.f = 55   
    minAspect.f = 0.18;
    maxAspect.f = aspect+aspect*error;    
    
    boxcntr.l=0    
    
    For rtnCount = 0 To nContours - 1
      area.d = cvContourArea(*contours, 0, #CV_WHOLE_SEQ_END_INDEX, 0)
      If area >= 1000 And area <= 7000 
        cvMinAreaRect2(@box, *contours, #Null)
          
        If Abs(box\angle) < 45 
          charAspect.d = Box\size\height / Box\size\width 
          bheight.d = Box\size\height
        Else
          charAspect.d = Box\size\width / Box\size\height
          bheight.d = Box\size\width 
        EndIf
        
        bbArea.d=Box\size\width * Box\size\height
        percPixels.d = area / bbArea
        
        If  charAspect > minAspect And charAspect < maxAspect And percPixels < 0.8 And bheight >= minHeight And bheight < maxHeight
          cvBoxPoints(box\center\x, box\center\y, box\size\width, box\size\height, box\angle, pt1())
          For pc = 0 To 3
           cvLine(*contour, pt1(pc)\x, pt1(pc)\y, pt1((pc+1)%4)\x, pt1((pc+1)%4)\y, 0, 255, 255, 0, 2, #CV_AA, 0)
          Next pc                     
          cvDrawContours(*contour, *contours, 255, 155, 0, 0, 155, 255, 0, 0, -1, 1, #CV_AA, 0, 0)
          boxcntr + 1
          boxes(boxcntr-1) = box
          ReDim boxes(boxcntr)          
        EndIf        
      EndIf    
      *contours = *contours\h_next
    Next
    
    If #Pdebug            
      cvShowImage("Contours", *contour)        
      Debug("BoxCntr="+Str(boxcntr))        
      Debug("NContours="+Str(nContours))     
    EndIf
  
    *result.IplImage = cvCloneImage(*image)
    *mask.IplImage = cvCreateImage(*image\width+2, *image\height+2, #IPL_DEPTH_8U, 1)
    cvSet(*mask, 0, 0, 0, 0, #Null)     
    
    For bx=0 To boxcntr-1
      cvCircle(*result, boxes(bx)\center\x, boxes(bx)\center\y, 2, 0, 255, 0, 0, 2, #CV_AA, 0)
      If boxes(bx)\size\width > boxes(bx)\size\height
        minSize.f = boxes(bx)\size\height
        maxSize.f = boxes(bx)\size\width
      Else
        minSize.f = boxes(bx)\size\width
        maxSize.f = boxes(bx)\size\height
      EndIf
      minSize = minSize - minSize*0.5
      maxSize = maxSize - maxSize*0.5
      loDiff.l = 30; 
      upDiff.l = 30;
      NumSeeds.l = 10;
      ccomp.CvRect
      
      cvSet(*mask, 0, 0, 0, 0, #Null)       
      connectivity.l = 4;
      newMaskVal.l = 255;      
      flags.l = connectivity + (newMaskVal << 8) + #CV_FLOODFILL_FIXED_RANGE  + #CV_FLOODFILL_MASK_ONLY  ;
      If #Pdebug
        Debug("minSize="+StrF(minSize))
      EndIf
    
      For j=1 To NumSeeds
        seed.cvPoint
        seed\x=boxes(bx)\center\x+Random(maxSize)-maxSize/2
        seed\y=boxes(bx)\center\y+Random(minSize)-minSize/2       
        cvCircle(*result, seed\x, seed\y, 1, 0, 255, 255, 0, 1, #CV_AA, 0)
        comp.CvConnectedComp
        iarea.l = cvFloodFill(*image, seed\x, seed\y, 255, 0, 0, 0, loDiff, loDiff, loDiff, 0, upDiff, upDiff, upDiff, 0, @comp, flags, *mask)
      Next j

      #CV_SEQ_ELTYPE_POINT = CV_MAKETYPE(#CV_32S, 2)   
      *seq.CvSeq = cvCreateSeq(#CV_SEQ_ELTYPE_POINT, SizeOf(CvSeq), SizeOf(CvPoint), *storage)
      pointsInterest.CvPoint
      k=0    
      For j = 0 To *mask\height-1         
        *pt = *mask\imageData + j*(*mask\widthstep)
        For i = 0 To *mask\width-1         
          *ptr = *pt + i
          If PeekC(*ptr)=255
            pointsInterest\x = i
            pointsInterest\y = j
            cvSeqPush(*seq, @pointsInterest)
            k + 1          
          EndIf              
        Next i      
      Next j      
      
      If #Pdebug      
        Debug("Points in mask: "+Str(k))
      EndIf
      
      minRect.CvBox2D
      cvMinAreaRect2(@minRect, *seq, #Null)
      If Abs(minRect\angle) < 45 
        charAspect.d = minRect\size\height / minRect\size\width 
        bheight.d = minRect\size\height
      Else
        charAspect.d = minRect\size\width / minRect\size\height
        bheight.d = minRect\size\width 
      EndIf
      
      bbArea.d=minRect\size\width * minRect\size\height
      percPixels.d = area / bbArea
      
      If #Pdebug
        Debug("charAspect="+StrD(charAspect)+";  %Pixels="+StrD(percPixels)+";  Angle="+StrF(Box\angle)+"  bHeight="+StrF(bheight))
      EndIf
          
      If  charAspect > minAspect And charAspect < maxAspect And bheight >= minHeight And bheight < maxHeight
        cvBoxPoints(minRect\center\x, minRect\center\y, minRect\size\width, minRect\size\height, minRect\angle, pt1())               
        For pc = 0 To 3
;          cvLine(*result, pt1(pc)\x, pt1(pc)\y, pt1((pc+1)%4)\x, pt1((pc+1)%4)\y, 0, 255, 255, 0, 1, #CV_AA, 0)
          cvLine(*image, pt1(pc)\x, pt1(pc)\y, pt1((pc+1)%4)\x, pt1((pc+1)%4)\y, 0, 255, 255, 0, 2, #CV_AA, 0)          
        Next pc 
        
        r.f = minRect\size\width / minRect\size\height
        rotangle.f = minRect\angle
        If r < 1
          rotangle=90+minRect\angle
        EndIf
        
        If #Pdebug
          Debug("Angle="+StrF(minRect\angle)+"   rotAngle="+StrF(rotangle))
        EndIf
                     
        *rotmat.CvMat = cvCreateMat(2, 3, CV_MAKETYPE(#CV_32F, 1))
        cv2DRotationMatrix(minRect\center\x, minRect\center\y, rotangle, 1, *rotmat)
      
        *img_rotated.IplImage = cvCloneImage(*image)
        cvWarpAffine(*image, *img_rotated, *rotmat, #CV_INTER_CUBIC, 0, 255, 0, 0)    
        
        rect_size.CvSize2D32f
        rect_size\width = minRect\size\width
        rect_size\height = minRect\size\height
        
        If r < 1
          buf.f = rect_size\width                   ;swap
          rect_size\width = rect_size\height
          rect_size\height = buf
        EndIf
        *img_crop.IplImage = cvCreateImage(rect_size\width, rect_size\height, #IPL_DEPTH_8U, *img_rotated\nChannels)
        cvGetRectSubPix(*img_rotated, *img_crop, minRect\center\x, minRect\center\y)
        
        If #Pdebug 
          cvShowImage("img_crop", *img_crop) 
        EndIf
      
        *resultResized.IplImage = cvCreateImage(144, 33, #IPL_DEPTH_8U, *img_crop\nChannels)
        cvResize(*img_crop, *resultResized, #CV_INTER_CUBIC)
        
        *grayResult.IplImage = cvCreateImage(*resultResized\width, *resultResized\height, #IPL_DEPTH_8U, 1)
        cvCvtColor(*resultResized, *grayResult, #CV_BGR2GRAY, 1)
        cvSmooth(*grayResult, *grayResult, #CV_BLUR, 3, 0, 0, 0)
        cvEqualizeHist(*grayResult, *grayResult)
        
;---> SVM here
        
        *img_threshold2.IplImage = cvCreateImage(*resultResized\width, *resultResized\height, #IPL_DEPTH_8U, 1)
        threshold2 = cvThreshold2(*grayResult, *img_threshold2, 60, 255, #CV_THRESH_BINARY_INV)    
        
        cvClearMemStorage(*storage)
        *contours2.CvSeq      
        nContours2 = cvFindContours(*img_threshold2, *storage, @*contours2, SizeOf(CvContour), #CV_RETR_EXTERNAL, #CV_CHAIN_APPROX_NONE, 0, 0)
        
        For rtnCount = 0 To nContours2 - 1
;            cvDrawContours(*resultResized, *contours2, 255, 155, 0, 0, 155, 255, 0, 0, -1, 1, #CV_AA, 0, 0)
          cvBoundingRect(@brect, *contours2, 1);
          cvRectangleR(*resultResized, brect\x-1, brect\y-1, brect\width+2, brect\height+2, 70, 70, 255, 0, 1, CV_AA, 0);           
          *contours2 = *contours2\h_next
        Next       
        If #Pdebug 
          cvShowImage("Eq_gray", *grayResult)          
          cvShowImage("Tresh2", *img_threshold2)           
          cvShowImage("img_resize", *resultResized)     
        EndIf
        
        cvSetImageROI(*image, boxes(bx)\center\x-50, boxes(bx)\center\y-65, 144, 33)
        cvAndS(*image, 0, 0, 0, 0, *image, #Null)
        cvAdd(*image, *resultResized, *image, #Null)
        cvResetImageROI(*image)              
        
      EndIf           
    Next bx        
  
    If #Pdebug 
      cvShowImage("img_rotated", *img_rotated) 
      cvShowImage("Mask", *mask)
      cvShowImage("Result", *result) 
    EndIf  
    
    *param.USER_INFO = AllocateMemory(SizeOf(USER_INFO))
    *param\uPointer1 = *image
    *param\uValue = window_handle
    cvSetMouseCallback(*window_name, @CvMouseCallback(), *param)

    Repeat
      If *image
        cvShowImage(#CV_WINDOW_NAME, *image)
        keyPressed = cvWaitKey(0)
      EndIf
    Until keyPressed = 27 Or ExitCV
    FreeMemory(*param)
    
    cvReleaseImage(@*image)
    cvReleaseImage(@*gray)
    cvReleaseImage(@*img_sobel)
    cvReleaseImage(@*img_threshold)
    cvReleaseImage(@*temp)
    cvReleaseImage(@*contour)
    cvReleaseImage(@*result)
    cvReleaseImage(@*mask)
    cvReleaseImage(@*img_rotated)
    cvReleaseImage(@*img_crop)
    cvReleaseImage(@*resultResized)
    cvReleaseImage(@*grayResult)
    cvReleaseImage(@*img_threshold2)
    
    cvDestroyWindow(#CV_WINDOW_NAME)
    If #Pdebug 
      cvDestroyWindow("Gray")       
      cvDestroyWindow("Sobel")     
      cvDestroyWindow("Tresh")      
      cvDestroyWindow("Morphology")      
      cvDestroyWindow("Contours")
      cvDestroyWindow("img_crop")
      cvDestroyWindow("Eq_gray")         
      cvDestroyWindow("Tresh2")          
      cvDestroyWindow("img_resize") 
      cvDestroyWindow("img_rotated")
      cvDestroyWindow("Mask")
      cvDestroyWindow("Result")
    EndIf  

    If GetCV
      GetCV = #False
      ExitCV = #False
      OpenCV(GetImage())
    EndIf
  EndIf
EndProcedure

ExamineDesktops()
OpenCV(GetImage())

Have fun!

[JHPJHP]

Hi AAT,

Fantastic work on capturing the license plates and individual digits.

I am looking forwarded to taking a better look, but for the next few weeks I'll be on vacation. I will only be using my laptop to check emails and browse the forum every now and then. When I return if your still having trouble working through this - I will give it a go.

Cheers!

[Kwai chang caine]

https://www.dropbox.com/s/ooah4q38hz1389e/OpenCV.zip not works

[JHPJHP]

Hi Kwaï chang caïne,

I just tested the link and it's working fine from my location, I'm wondering if Dropbox was down at the time you tried to access it, or if there is a problem at your end / location?

Can you confirm either way if you can now access the link.

[JHPJHP]

Updated:
- added Constants, Structures, Macros, Functions
- added 2 examples
-- cv_match_train.pb: creates a text file for later matching contours from two image files containing digits
-- cv_match_write.pb: tries to match contours learned from one image file containing numbers against another, then duplicate the image using text
- added 2 default images
- added 1 default trained file

cv_match_train.pb (a default "trained" text file has already been created):
- press the keyboard number that matches the image number with the red rectangle around it
- press any keyboard key that is not a number to skip the selection
- once all the filtered contours have been checked, a "trained" text file is auto-saved to: \binaries\trained
- with the current example I only matched the number once, skipping subsequent selections

cv_match_write.pb:
- this example should show an image with text numbers matching the included image
- double-Click the image to open the associated image file: num_write.png

Some new functions have been REM'd out - there in the documentation, but not included in the DLL?

---------------------------------------------------

Hi AAT,

I found some time to put together a couple examples that may help with what your trying to accomplish, but instead of using SVM and OCR I used cvMatchShapes. While this solution may not be as accurate, it might give you an idea on how to move forward.
- to improve upon the results ROI can be added as well as resizing the "Regions Of Interest" to a uniform solution

Something worth noting - I updated the cvSave function to accept attributes.
- cv_match_write.pb: using the context menu you can save the image to a file and also the complete set of contours associated to it to a separate xml file

[Kwai chang caine]

You have right ....
Since several days i try to download, and apparently the proxy of my enterprise not allow the download
Excuse me for disturbing you.

I don't know OpenCV exist, i have read on the web, when i search a way for my history of research similar picture, and apparently it's really a very great graphical lib, recognize by all the world

You have a very good idea to create this wrapper, give to PB and all his member the possibility to use it
So thanks a lot for your answer, and the sharing of this great job