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Merge pull request #24569 from Abdurrahheem:ash/padding_value_fix
Add support for custom padding in DNN preprocessing #24569 This PR add functionality for specifying value in padding. It is required in many preprocessing pipelines in DNNs such as Yolox object detection model ### 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 - [ ] 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
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@@ -1212,7 +1212,7 @@ CV__DNN_INLINE_NS_BEGIN
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CV_WRAP Image2BlobParams();
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CV_WRAP Image2BlobParams(const Scalar& scalefactor, const Size& size = Size(), const Scalar& mean = Scalar(),
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bool swapRB = false, int ddepth = CV_32F, DataLayout datalayout = DNN_LAYOUT_NCHW,
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ImagePaddingMode mode = DNN_PMODE_NULL);
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ImagePaddingMode mode = DNN_PMODE_NULL, Scalar borderValue = 0.0);
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CV_PROP_RW Scalar scalefactor; //!< scalefactor multiplier for input image values.
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CV_PROP_RW Size size; //!< Spatial size for output image.
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@@ -1221,6 +1221,7 @@ CV__DNN_INLINE_NS_BEGIN
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CV_PROP_RW int ddepth; //!< Depth of output blob. Choose CV_32F or CV_8U.
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CV_PROP_RW DataLayout datalayout; //!< Order of output dimensions. Choose DNN_LAYOUT_NCHW or DNN_LAYOUT_NHWC.
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CV_PROP_RW ImagePaddingMode paddingmode; //!< Image padding mode. @see ImagePaddingMode.
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CV_PROP_RW Scalar borderValue; //!< Value used in padding mode for padding.
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};
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/** @brief Creates 4-dimensional blob from image with given params.
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