Given following log snippets, their explanation, and nothing else, explain what failure, if any, occurred during build of this package.

  Snippets are in a format of [X] : [Y], where [X] is a log snippet, and [Y] is the explanation.

  Snippets are delimited with '================'.

  Drawing on information from all snippets, provide a concise explanation of the issue and recommend a solution.

  Explanation of the issue, and recommended solution, should take a handful of sentences.

  Snippets:

  [/home/abuild/rpmbuild/BUILD/opencv-qt6-4.11.0-build/opencv-4.11.0/modules/dnn/include/opencv2/dnn/dnn.inl.hpp:377:21,]: [This snippet suggests strong evidence that the build failure used in the openSUSE Build Service (OBS) for building RPM packages]
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[[  452s] /home/abuild/rpmbuild/BUILD/opencv-qt6-4.11.0-build/opencv-4.11.0/modules/core/include/opencv2/core/utility.hpp:1096:15: warning: argument 1 value ‘18446744073709551615’ exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
[  452s]  1096 |         ptr = new _Tp[_size];]: [This snippet, repeated multiple times but originating from this specific location (and similar ones in other DNN-related files), highlights the core issue. It shows a warning at a specific line (utility.hpp:1096) where a new allocation is being attempted with an extremely large size. The -Walloc-size-larger-than= flag clearly indicates the nature of the problem. This tells a developer to look at the code leading up to this allocation in opencv2/core/utility.hpp and the calling functions within the DNN module (like caffe_importer.cpp, onnx_importer.cpp, etc.) to understand why such a large size is being requested.]

Issue: we find that the build failure is due to the OpenCV DNN module attempting to allocate extremely large memory blocks, as indicated by the numerous -Walloc-size-larger-than= warnings. Although reported as warnings, these caused a critical error during the build process, leading to the make command exiting with an error code.
Resolution: To fix this, we would need to investigate the parts of the OpenCV DNN code where these large allocations are being attempted. The logic would need to be handled.
