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Fixed DetectionOutput output blob shape

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This commit is contained in:
Dmitry Kurtaev
2019-05-14 12:08:21 +03:00
parent b998c06d08
commit 6389dfe49c
4 changed files with 28 additions and 48 deletions
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modules/dnn/test/test_caffe_importer.cpp
+3 -1
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@@ -204,7 +204,7 @@ TEST(Reproducibility_SSD, Accuracy)
Mat out = net.forward("detection_out");
Mat ref = blobFromNPY(_tf("ssd_out.npy"));
normAssertDetections(ref, out);
normAssertDetections(ref, out, "", FLT_MIN);
}
typedef testing::TestWithParam<tuple<Backend, Target> > Reproducibility_MobileNet_SSD;
@@ -225,6 +225,8 @@ TEST_P(Reproducibility_MobileNet_SSD, Accuracy)
net.setInput(inp);
Mat out = net.forward().clone();
ASSERT_EQ(out.size[2], 100);
const float scores_diff = (targetId == DNN_TARGET_OPENCL_FP16 || targetId == DNN_TARGET_MYRIAD) ? 1.5e-2 : 1e-5;
const float boxes_iou_diff = (targetId == DNN_TARGET_OPENCL_FP16 || targetId == DNN_TARGET_MYRIAD) ? 6.3e-2 : 1e-4;
Mat ref = blobFromNPY(_tf("mobilenet_ssd_caffe_out.npy"));