void extractBinaryLayerParams(const caffe::LayerParameter& layer, LayerParams& layerParams)
{
const std::string &name = layer.name();
int li;
for (li = 0; li != netBinary.layer_size(); li++)
{
const caffe::LayerParameter& binLayer = netBinary.layer(li);
// Break if the layer name is the same and the blobs are not cleared
if (binLayer.name() == name && binLayer.blobs_size() != 0)
break;
}
if (li == netBinary.layer_size())
return;
caffe::LayerParameter* binLayer = netBinary.mutable_layer(li);
const int numBlobs = binLayer->blobs_size();
layerParams.blobs.resize(numBlobs);
for (int bi = 0; bi < numBlobs; bi++)
{
blobFromProto(binLayer->blobs(bi), layerParams.blobs[bi]);
}
binLayer->clear_blobs();
CV_Assert(numBlobs == binLayer->blobs().ClearedCount());
for (int bi = 0; bi < numBlobs; bi++)
{
delete binLayer->mutable_blobs()->ReleaseCleared();
}
}
void extractBinaryLayerParms(const caffe::LayerParameter& layer, LayerParams& layerParams)
{
const std::string &name = layer.name();
int li;
for (li = 0; li != netBinary.layer_size(); li++)
{
if (netBinary.layer(li).name() == name)
break;
}
if (li == netBinary.layer_size() || netBinary.layer(li).blobs_size() == 0)
return;
const caffe::LayerParameter &binLayer = netBinary.layer(li);
layerParams.blobs.resize(binLayer.blobs_size());
for (int bi = 0; bi < binLayer.blobs_size(); bi++)
{
blobFromProto(binLayer.blobs(bi), layerParams.blobs[bi]);
}
}