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Merge pull request #29077 from vrabaud:throw

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Homogeneize some calib/3d behavior #29077

- use CV_Check to validate input sizes (thus throwing for invalid inputs)
- return bool to validate a function result

This fixes #22746

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
This commit is contained in:
Vincent Rabaud
2026-06-02 07:25:44 +02:00
committed by GitHub
parent 89e0ca8749
commit 1d4d81103e
6 changed files with 71 additions and 38 deletions
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modules/objdetect/include/opencv2/objdetect.hpp
+20 -13
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@@ -354,14 +354,16 @@ No image processing is done to improve to find the checkerboard. This has the ef
execution of the function but could lead to not recognizing the checkerboard if the image
is not previously binarized in the appropriate manner.
@return True if all of the corners are found and placed in a certain order (row by row,
left to right in every row). Otherwise, if the function fails to find all the corners or reorder them,
it returns false.
The function attempts to determine whether the input image is a view of the chessboard pattern and
locate the internal chessboard corners. The function returns a non-zero value if all of the corners
are found and they are placed in a certain order (row by row, left to right in every row).
Otherwise, if the function fails to find all the corners or reorder them, it returns 0. For example,
a regular chessboard has 8 x 8 squares and 7 x 7 internal corners, that is, points where the black
squares touch each other. The detected coordinates are approximate, and to determine their positions
more accurately, the function calls #cornerSubPix. You also may use the function #cornerSubPix with
different parameters if returned coordinates are not accurate enough.
locate the internal chessboard corners. For example, a regular chessboard has 8 x 8 squares and
7 x 7 internal corners, that is, points where the black squares touch each other. The detected
coordinates are approximate, and to determine their positions more accurately, the function
calls #cornerSubPix. You also may use the function #cornerSubPix with different parameters if
returned coordinates are not accurate enough.
Sample usage of detecting and drawing chessboard corners: :
@code
@@ -392,9 +394,12 @@ to create the desired checkerboard pattern.
CV_EXPORTS_W bool findChessboardCorners( InputArray image, Size patternSize, OutputArray corners,
int flags = CALIB_CB_ADAPTIVE_THRESH + CALIB_CB_NORMALIZE_IMAGE );
/*
Checks whether the image contains chessboard of the specific size or not.
If yes, nonzero value is returned.
/** @brief Checks whether the image contains chessboard of the specific size or not.
@param img Source chessboard view.
@param size Size of the chessboard.
@return Whether a chessboard was found.
*/
CV_EXPORTS_W bool checkChessboard(InputArray img, Size size);
@@ -552,10 +557,12 @@ perspective distortions but much more sensitive to background clutter.
If `blobDetector` is NULL then `image` represents Point2f array of candidates.
@param parameters struct for finding circles in a grid pattern.
return True if all of the centers have been found and they have been placed in a certain order
(row by row, left to right in every row). Otherwise, if the function fails to find all the corners
or reorder them, it returns false.
The function attempts to determine whether the input image contains a grid of circles. If it is, the
function locates centers of the circles. The function returns a non-zero value if all of the centers
have been found and they have been placed in a certain order (row by row, left to right in every
row). Otherwise, if the function fails to find all the corners or reorder them, it returns 0.
function locates centers of the circles.
Sample usage of detecting and drawing the centers of circles: :
@code