Merge pull request #28035 from asmorkalov:as/windows_ci_5.x

Switch to the new Github actions pipeline for Windows in 5.x too #28035

### 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
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

.github/workflows/PR-5.x.yaml

@@ -11,6 +11,11 @@ jobs:
     with:
       workflow_branch: 'main'
 
+  Windows:
+    uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-Windows.yaml@main
+    with:
+      workflow_branch: main
+
   Ubuntu2004-ARM64:
     uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-ARM64.yaml@main
 
@@ -24,15 +29,6 @@ jobs:
     if: "${{ contains(github.event.pull_request.labels.*.name, 'category: dnn') }} || ${{ contains(github.event.pull_request.labels.*.name, 'category: dnn (onnx)') }}"
     uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-U20-Cuda.yaml@main
 
-  Windows10-x64:
-    uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-W10.yaml@main
-
-  Windows10-x64-UWP:
-    uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-W10-UWP.yaml@main
-
-  Windows10-ARM64:
-    uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-W10-ARM64.yaml@main
-
 # Vulkan configuration disabled as Vulkan backend for DNN does not support int/int64 for now
 # Details: https://github.com/opencv/opencv/issues/25110
 #  Windows10-x64-Vulkan:

modules/dnn/perf/perf_utils.cpp

@@ -36,9 +36,15 @@ INSTANTIATE_TEST_CASE_P(/**/, Utils_blobFromImage,
 using Utils_blobFromImages = TestBaseWithParam<std::vector<int>>;
 PERF_TEST_P_(Utils_blobFromImages, HWC_TO_NCHW) {
     std::vector<int> input_shape = GetParam();
+
     int batch = input_shape.front();
     std::vector<int> input_shape_no_batch(input_shape.begin()+1, input_shape.end());
 
+    if (input_shape_no_batch[0]*input_shape_no_batch[1] >= 2048*2048)
+    {
+        applyTestTag( CV_TEST_TAG_MEMORY_2GB);
+    }
+
     std::vector<Mat> inputs;
     for (int i = 0; i < batch; i++) {
         Mat input(input_shape_no_batch, CV_32FC3);

modules/features/3rdparty/annoy/annoylib.h

@@ -1226,7 +1226,7 @@ public:
       annoylib_showUpdate("prefault is set to true, but MAP_POPULATE is not defined on this platform");
 #endif
     }
-    _nodes = (Node*)mmap(0, size, PROT_READ, flags, _fd, 0);
+    _nodes = (Node*)mmap(0, static_cast<size_t>(size), PROT_READ, flags, _fd, 0);
     _n_nodes = (S)(size / _s);
 
     // Find the roots by scanning the end of the file and taking the nodes with most descendants