From eff0f9d3f8ef2474fd8401d6727441388b63ad51 Mon Sep 17 00:00:00 2001
From: Maksim Shabunin <maksim.shabunin@gmail.com>
Date: Tue, 14 Aug 2018 15:39:32 +0300
Subject: [PATCH] Fixed windows build with InferenceEngine

---
 modules/dnn/src/layers/normalize_bbox_layer.cpp | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/dnn/src/layers/normalize_bbox_layer.cpp b/modules/dnn/src/layers/normalize_bbox_layer.cpp
index 70d9b7385a..fbb29292c2 100644
--- a/modules/dnn/src/layers/normalize_bbox_layer.cpp
+++ b/modules/dnn/src/layers/normalize_bbox_layer.cpp
@@ -276,7 +276,7 @@ public:
             {
                 auto weights = InferenceEngine::make_shared_blob<float>(InferenceEngine::Precision::FP32,
                                                                         InferenceEngine::Layout::C,
-                                                                        {numChannels});
+                                                                        {(size_t)numChannels});
                 weights->allocate();
                 std::vector<float> ones(numChannels, 1);
                 weights->set(ones);
@@ -286,7 +286,7 @@ public:
             else
             {
                 CV_Assert(numChannels == blobs[0].total());
-                ieLayer->blobs["weights"] = wrapToInfEngineBlob(blobs[0], {numChannels}, InferenceEngine::Layout::C);
+                ieLayer->blobs["weights"] = wrapToInfEngineBlob(blobs[0], {(size_t)numChannels}, InferenceEngine::Layout::C);
                 ieLayer->params["channel_shared"] = blobs[0].total() == 1 ? "1" : "0";
             }
             ieLayer->params["eps"] = format("%f", epsilon);
-- 
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