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Added tests for ResNet-50 and SqueezeNet v1.1

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This commit is contained in:
Aleksandr Rybnikov
2017-07-03 16:29:30 +03:00
parent d5323ce848
commit d3c14ce3ea
2 changed files with 35 additions and 4 deletions
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modules/dnn/test/test_caffe_importer.cpp
+31
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@@ -157,4 +157,35 @@ TEST(Reproducibility_SSD, Accuracy)
Mat ref = blobFromNPY(_tf("ssd_out.npy"));
normAssert(ref, out);
}
TEST(Reproducibility_ResNet50, Accuracy)
{
Net net = readNetFromCaffe(findDataFile("dnn/ResNet-50-deploy.prototxt", false),
findDataFile("dnn/ResNet-50-model.caffemodel", false));
Mat input = blobFromImage(imread(_tf("googlenet_0.png")), 1, Size(224,224));
ASSERT_TRUE(!input.empty());
net.setInput(input);
Mat out = net.forward();
Mat ref = blobFromNPY(_tf("resnet50_prob.npy"));
normAssert(ref, out);
}
TEST(Reproducibility_SqueezeNet_v1_1, Accuracy)
{
Net net = readNetFromCaffe(findDataFile("dnn/squeezenet_v1.1.prototxt", false),
findDataFile("dnn/squeezenet_v1.1.caffemodel", false));
Mat input = blobFromImage(imread(_tf("googlenet_0.png")), 1, Size(227,227));
ASSERT_TRUE(!input.empty());
net.setInput(input);
Mat out = net.forward();
Mat ref = blobFromNPY(_tf("squeezenet_v1.1_prob.npy"));
normAssert(ref, out);
}
}