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Several type of formal refactoring:

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1. someMatrix.data -> someMatrix.prt()
2. someMatrix.data + someMatrix.step * lineIndex -> someMatrix.ptr( lineIndex )
3. (SomeType*) someMatrix.data -> someMatrix.ptr<SomeType>()
4. someMatrix.data -> !someMatrix.empty() ( or !someMatrix.data -> someMatrix.empty() ) in logical expressions
This commit is contained in:
Adil Ibragimov
2014-08-13 15:08:27 +04:00
parent 30111a786a
commit 8a4a1bb018
134 changed files with 988 additions and 986 deletions
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modules/ml/src/ann_mlp.cpp
+8 -8
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@@ -1150,19 +1150,19 @@ public:
size_t esz = weights[0].elemSize();
fs << "input_scale" << "[";
fs.writeRaw("d", weights[0].data, weights[0].total()*esz);
fs.writeRaw("d", weights[0].ptr(), weights[0].total()*esz);
fs << "]" << "output_scale" << "[";
fs.writeRaw("d", weights[l_count].data, weights[l_count].total()*esz);
fs.writeRaw("d", weights[l_count].ptr(), weights[l_count].total()*esz);
fs << "]" << "inv_output_scale" << "[";
fs.writeRaw("d", weights[l_count+1].data, weights[l_count+1].total()*esz);
fs.writeRaw("d", weights[l_count+1].ptr(), weights[l_count+1].total()*esz);
fs << "]" << "weights" << "[";
for( i = 1; i < l_count; i++ )
{
fs << "[";
fs.writeRaw("d", weights[i].data, weights[i].total()*esz);
fs.writeRaw("d", weights[i].ptr(), weights[i].total()*esz);
fs << "]";
}
fs << "]";
@@ -1250,18 +1250,18 @@ public:
size_t esz = weights[0].elemSize();
FileNode w = fn["input_scale"];
w.readRaw("d", weights[0].data, weights[0].total()*esz);
w.readRaw("d", weights[0].ptr(), weights[0].total()*esz);
w = fn["output_scale"];
w.readRaw("d", weights[l_count].data, weights[l_count].total()*esz);
w.readRaw("d", weights[l_count].ptr(), weights[l_count].total()*esz);
w = fn["inv_output_scale"];
w.readRaw("d", weights[l_count+1].data, weights[l_count+1].total()*esz);
w.readRaw("d", weights[l_count+1].ptr(), weights[l_count+1].total()*esz);
FileNodeIterator w_it = fn["weights"].begin();
for( i = 1; i < l_count; i++, ++w_it )
(*w_it).readRaw("d", weights[i].data, weights[i].total()*esz);
(*w_it).readRaw("d", weights[i].ptr(), weights[i].total()*esz);
trained = true;
}