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dnn: more debug info

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This commit is contained in:
Alexander Alekhin 2017-12-11 20:00:12 +00:00 committed by Alexander Alekhin
parent e49febb70f
commit eff42f6387
1 changed files with 16 additions and 1 deletions
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17
modules/dnn/src/layers/max_unpooling_layer.cpp
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@ -14,6 +14,8 @@ Implementation of Batch Normalization layer.
#include "op_halide.hpp" #include "op_halide.hpp"
#include <opencv2/dnn/shape_utils.hpp> #include <opencv2/dnn/shape_utils.hpp>
#include <iostream>
namespace cv namespace cv
{ {
namespace dnn namespace dnn
@ -94,7 +96,20 @@ public:
for(int i_wh = 0; i_wh < wh_area; i_wh++) for(int i_wh = 0; i_wh < wh_area; i_wh++)
{ {
int index = idxptr[i_wh]; int index = idxptr[i_wh];
CV_Assert(0 <= index && index < outPlaneTotal); if (!(0 <= index && index < outPlaneTotal))
{
std::cerr
<< "i_n=" << i_n << std::endl
<< "i_c=" << i_c << std::endl
<< "i_wh=" << i_wh << std::endl
<< "index=" << index << std::endl
<< "outPlaneTotal=" << outPlaneTotal << std::endl
<< "input.size=" << input.size << std::endl
<< "indices.size=" << indices.size << std::endl
<< "outBlob=" << outBlob.size << std::endl
;
CV_Assert(0 <= index && index < outPlaneTotal);
}
outptr[index] = inptr[i_wh]; outptr[index] = inptr[i_wh];
} }
} }