Merge pull request #14489 from dkurt:fix_14464

modules/dnn/src/layers/convolution_layer.cpp

@@ -125,7 +125,7 @@ public:
             inpShape.push_back(inputs[0].size[i]);
             outShape.push_back(outputs[0].size[i]);
         }
-        getConvPoolPaddings(inpShape, outShape, kernel_size, strides, padMode, dilations, pads_begin, pads_end);
+        getConvPoolPaddings(inpShape, kernel_size, strides, padMode, pads_begin, pads_end);
         if (pads_begin.size() == 2) {
             for (int i = 0; i < pads_begin.size(); i++) {
                 if (pads_begin[i] != pads_end[i])
@@ -1257,7 +1257,7 @@ public:
             inpShape.push_back(inputs[0].size[i]);
             outShape.push_back(outputs[0].size[i]);
         }
-        getConvPoolPaddings(outShape, inpShape, kernel_size, strides, padMode, dilations, pads_begin, pads_end);
+        getConvPoolPaddings(outShape, kernel_size, strides, padMode, pads_begin, pads_end);
         if (pads_begin.size() == 2) {
             for (int i = 0; i < pads_begin.size(); i++) {
                 if (pads_begin[i] != pads_end[i])

modules/dnn/src/layers/layers_common.cpp

@@ -214,25 +214,25 @@ void getConvPoolOutParams(const std::vector<int>& inp, const std::vector<size_t>
     }
 }
 
-void getConvPoolPaddings(const std::vector<int>& inp, const std::vector<int>& out,
+void getConvPoolPaddings(const std::vector<int>& inp, const std::vector<size_t>& kernel,
-                         const std::vector<size_t>& kernel, const std::vector<size_t>& strides,
+                         const std::vector<size_t>& strides, const String &padMode,
-                         const String &padMode, const std::vector<size_t>& dilation,
                          std::vector<size_t>& pads_begin, std::vector<size_t>& pads_end)
 {
-    if (padMode == "VALID")
+    if (padMode == "SAME" || padMode == "VALID")
     {
         pads_begin.assign(kernel.size(), 0);
         pads_end.assign(kernel.size(), 0);
     }
-    else if (padMode == "SAME")
+    if (padMode == "SAME")
     {
-        CV_Assert_N(kernel.size() == dilation.size(), kernel.size() == strides.size(),
+        CV_Assert_N(kernel.size() == strides.size(), kernel.size() == inp.size());
-                    kernel.size() == inp.size(), kernel.size() == out.size());
-        pads_begin.resize(kernel.size());
-        pads_end.resize(kernel.size());
         for (int i = 0; i < pads_begin.size(); i++) {
-            int pad = ((out[i] - 1) * strides[i] + dilation[i] * (kernel[i] - 1) + 1 - inp[i]) / 2;
+            // There are test cases with stride > kernel.
-            pads_begin[i] = pads_end[i] = std::max(0, pad);
+            if (strides[i] <= kernel[i])
+            {
+                int pad = (kernel[i] - 1 - (inp[i] - 1 + strides[i]) % strides[i]) / 2;
+                pads_begin[i] = pads_end[i] = pad;
+            }
         }
     }
 }

modules/dnn/src/layers/layers_common.hpp

@@ -69,9 +69,8 @@ void getConvPoolOutParams(const std::vector<int>& inp, const std::vector<size_t>
                           const std::vector<size_t>& stride, const String &padMode,
                           const std::vector<size_t>& dilation, std::vector<int>& out);
 
- void getConvPoolPaddings(const std::vector<int>& inp, const std::vector<int>& out,
+ void getConvPoolPaddings(const std::vector<int>& inp, const std::vector<size_t>& kernel,
-                          const std::vector<size_t>& kernel, const std::vector<size_t>& strides,
+                          const std::vector<size_t>& strides, const String &padMode,
-                          const String &padMode, const std::vector<size_t>& dilation,
                           std::vector<size_t>& pads_begin, std::vector<size_t>& pads_end);
 }
 }

modules/dnn/src/layers/pooling_layer.cpp

@@ -143,7 +143,7 @@ public:
             kernel_size = std::vector<size_t>(inp.begin(), inp.end());
         }
 
-        getConvPoolPaddings(inp, out, kernel_size, strides, padMode, std::vector<size_t>(kernel_size.size(), 1), pads_begin, pads_end);
+        getConvPoolPaddings(inp, kernel_size, strides, padMode, pads_begin, pads_end);
         if (pads_begin.size() == 2) {
             pad_t = pads_begin[0];
             pad_l = pads_begin[1];