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Merge pull request #11766 from dkurt:dnn_darknet_avgpool_softmax

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This commit is contained in:
Alexander Alekhin 2018-06-14 13:18:30 +00:00
commit 30d4e0261a
2 changed files with 54 additions and 0 deletions
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49
modules/dnn/src/darknet/darknet_io.cpp
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@ -212,6 +212,44 @@ namespace cv {
fused_layer_names.push_back(last_layer);
}
void setAvgpool()
{
cv::dnn::LayerParams avgpool_param;
avgpool_param.set<cv::String>("pool", "ave");
avgpool_param.set<bool>("global_pooling", true);
avgpool_param.name = "Pooling-name";
avgpool_param.type = "Pooling";
darknet::LayerParameter lp;
std::string layer_name = cv::format("avgpool_%d", layer_id);
lp.layer_name = layer_name;
lp.layer_type = avgpool_param.type;
lp.layerParams = avgpool_param;
lp.bottom_indexes.push_back(last_layer);
last_layer = layer_name;
net->layers.push_back(lp);
layer_id++;
fused_layer_names.push_back(last_layer);
}
void setSoftmax()
{
cv::dnn::LayerParams softmax_param;
softmax_param.name = "Softmax-name";
softmax_param.type = "Softmax";
darknet::LayerParameter lp;
std::string layer_name = cv::format("softmax_%d", layer_id);
lp.layer_name = layer_name;
lp.layer_type = softmax_param.type;
lp.layerParams = softmax_param;
lp.bottom_indexes.push_back(last_layer);
last_layer = layer_name;
net->layers.push_back(lp);
layer_id++;
fused_layer_names.push_back(last_layer);
}
void setConcat(int number_of_inputs, int *input_indexes)
{
cv::dnn::LayerParams concat_param;
@ -541,6 +579,17 @@ namespace cv {
int pad = getParam<int>(layer_params, "pad", 0);
setParams.setMaxpool(kernel_size, pad, stride);
}
else if (layer_type == "avgpool")
{
setParams.setAvgpool();
}
else if (layer_type == "softmax")
{
int groups = getParam<int>(layer_params, "groups", 1);
if (groups != 1)
CV_Error(Error::StsNotImplemented, "Softmax from Darknet with groups != 1");
setParams.setSoftmax();
}
else if (layer_type == "route")
{
std::string bottom_layers = getParam<std::string>(layer_params, "layers", "");

5
modules/dnn/test/test_darknet_importer.cpp
View File

@ -228,4 +228,9 @@ TEST(Test_Darknet, upsample)
testDarknetLayer("upsample");
}
TEST(Test_Darknet, avgpool_softmax)
{
testDarknetLayer("avgpool_softmax");
}
}} // namespace