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Home/ Questions/Q 6996811
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Editorial Team
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Editorial Team
Asked: May 27, 20262026-05-27T20:12:18+00:00 2026-05-27T20:12:18+00:00

how to use the perspectiveTransform function? when run my code, Will produce the following

  • 0

how to use the perspectiveTransform function?

when run my code, Will produce the following exception:

OpenCV Error: Assertion failed (scn + 1 == m.cols && (depth == CV_32F
|| depth == CV_64F)) in perspectiveTransform, file
/Users/donbe/Documents/opencv/opencv/modules/core/src/matmul.cpp, line
1916

Who can help me?

My code below:

Point2f srcTri[4];
Point2f dstTri[4];

Mat warp_mat;
Mat src;

/// Load the image
src = imread( argv[1], 1 );

srcTri[0] = Point2f(0,0);
srcTri[1] = Point2f(src.cols,0);
srcTri[2] = Point2f(src.cols,src.rows);
srcTri[3] = Point2f(0,src.rows);

dstTri[0] = Point2f(0,0);
dstTri[1] = Point2f(src.cols/2,0);
dstTri[2] = Point2f(src.cols/2,src.rows);
dstTri[3] = Point2f(0,src.rows);


warp_mat =  getPerspectiveTransform(srcTri, dstTri);

Mat warp_dst(src.size(), src.type());    

//There will produce a exception.
perspectiveTransform(src, warp_dst, warp_mat);

namedWindow( "Warp", CV_WINDOW_AUTOSIZE );
imshow( "Warp", warp_dst );

waitKey(0);
return 0;
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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-27T20:12:19+00:00Added an answer on May 27, 2026 at 8:12 pm

    Have you checked your source image that it checks the requirements?

    void perspectiveTransform(InputArray src, OutputArray dst, InputArray mtx)
    
    Parameters: 
    
    src – Source two-channel or three-channel floating-point array. Each element is a 2D/3D vector to be transformed.
    dst – Destination array of the same size and type as src .
    mtx – 3x3 or 4x4 floating-point transformation matrix.
    

    Note:

    The function transforms a sparse set of 2D or 3D vectors. If you want to transform an image using perspective transformation, use warpPerspective() .

    Check the documentation for more details: http://opencv.itseez.com/modules/core/doc/operations_on_arrays.html?highlight=perspectivetransform#cv2.perspectiveTransform

    Hope this helps.

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