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Fix silent loss of high-channel ndarray dimensions

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Detect three-dimensional NumPy arrays as multichannel inputs before applying the channel limit so OpenCV reports an explicit conversion error instead of treating the channel axis as a matrix dimension. Add regression coverage for a 129-channel remap input.

Assisted-by: OpenAI Codex
This commit is contained in:
NIKHIL
2026-08-09 19:52:07 +05:30
parent b13dff7b2c
commit 6f71f201ee
2 changed files with 14 additions and 1 deletions
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modules/python/src2/cv2_convert.cpp
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@@ -165,7 +165,7 @@ bool pyopencv_to(PyObject* o, Mat& m, const ArgInfo& info)
CV_LOG_DEBUG(NULL, "Incoming ndarray '" << info.name << "': ndims=" << ndims << " _sizes=" << pycv_dumpArray(_sizes, ndims) << " _strides=" << pycv_dumpArray(_strides, ndims));
bool ismultichannel = ndims == 3 && _sizes[2] <= CV_CN_MAX && !info.nd_mat;
bool ismultichannel = ndims == 3 && !info.nd_mat;
if (pyopencv_Mat_TypePtr && PyObject_TypeCheck(o, pyopencv_Mat_TypePtr))
{
bool wrapChannels = false;