Merge pull request #11649 from rockzhan:dnn_dw_prelu

dnn: Fix output mismatch when forward dnn model contain [depthwise conv(group=1) + bn + prelu]  (#11649)

* this can make sure [depthwise conv(group=1) + bn + prelu] output not shift

* add TEST to show the output mismatch in [DWconv+Prelu]

* fix typo

* change loading image to init cvMat directly

* build runtime model, without loading external model

* remove whitespace

* change way to create a cvmat

* add bias_term, add target output

* fix [dwconv + prelu] value mismatch when no optimizations

* fix Test error when change output channels

* add parametric test

* change num_output to group value

* change conv code and change test back

modules/dnn/src/layers/convolution_layer.cpp

@@ -737,8 +737,9 @@ public:
 
                             if( relu )
                             {
-                                r0 = relu[i];
-                                r1 = relu[i+1];
+                                r0 = relu[i]; r1 = relu[i+1];
+                                if( i+1 >= outCn )
+                                    r1 = r0;
                             }
 
                             int j = 0;