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Check if Inference Engine networks are fully supported by backend

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This commit is contained in:
Dmitry Kurtaev
2019-04-19 14:54:08 +03:00
parent 0431ecb9e2
commit 4f6be11c0e
6 changed files with 66 additions and 9 deletions
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modules/dnn/test/test_tf_importer.cpp
+6
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@@ -335,6 +335,7 @@ TEST_P(Test_TensorFlow_nets, MobileNet_SSD)
double scoreDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.0043 : default_l1;
double iouDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.037 : default_lInf;
normAssertDetections(ref, out, "", 0.2, scoreDiff, iouDiff);
expectNoFallbacksFromIE(net);
}
TEST_P(Test_TensorFlow_nets, Inception_v2_SSD)
@@ -372,6 +373,7 @@ TEST_P(Test_TensorFlow_nets, Inception_v2_SSD)
double scoreDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.0097 : default_l1;
double iouDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.09 : default_lInf;
normAssertDetections(ref, out, "", 0.5, scoreDiff, iouDiff);
expectNoFallbacksFromIE(net);
}
TEST_P(Test_TensorFlow_nets, MobileNet_v1_SSD)
@@ -402,6 +404,7 @@ TEST_P(Test_TensorFlow_nets, MobileNet_v1_SSD)
float scoreDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 7e-3 : 1.5e-5;
float iouDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.012 : 1e-3;
normAssertDetections(ref, out, "", 0.3, scoreDiff, iouDiff);
expectNoFallbacksFromIE(net);
}
TEST_P(Test_TensorFlow_nets, Faster_RCNN)
@@ -460,6 +463,7 @@ TEST_P(Test_TensorFlow_nets, MobileNet_v1_SSD_PPN)
double scoreDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.048 : 1.1e-5;
double iouDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.058 : default_lInf;
normAssertDetections(ref, out, "", 0.45, scoreDiff, iouDiff);
expectNoFallbacksFromIE(net);
}
TEST_P(Test_TensorFlow_nets, opencv_face_detector_uint8)
@@ -489,6 +493,7 @@ TEST_P(Test_TensorFlow_nets, opencv_face_detector_uint8)
double scoreDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 4e-3 : 3.4e-3;
double iouDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.024 : 1e-2;
normAssertDetections(ref, out, "", 0.9, scoreDiff, iouDiff);
expectNoFallbacksFromIE(net);
}
// inp = cv.imread('opencv_extra/testdata/cv/ximgproc/sources/08.png')
@@ -553,6 +558,7 @@ TEST_P(Test_TensorFlow_nets, EAST_text_detection)
}
normAssert(scores, blobFromNPY(refScoresPath), "scores", l1_scores, lInf_scores);
normAssert(geometry, blobFromNPY(refGeometryPath), "geometry", l1_geometry, lInf_geometry);
expectNoFallbacksFromIE(net);
}
INSTANTIATE_TEST_CASE_P(/**/, Test_TensorFlow_nets, dnnBackendsAndTargets());