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Merge pull request #17297 from dkurt:dnn_yolov3_ocl

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This commit is contained in:
Alexander Alekhin 2020-05-18 17:47:16 +00:00
commit 322960f795
2 changed files with 10 additions and 10 deletions
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7
modules/dnn/test/test_common.impl.hpp
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@ -106,6 +106,7 @@ void normAssertDetections(
int testClassId = testClassIds[i];
const cv::Rect2d& testBox = testBoxes[i];
bool matched = false;
double topIoU = 0;
for (int j = 0; j < refBoxes.size() && !matched; ++j)
{
if (!matchedRefBoxes[j] && testClassId == refClassIds[j] &&
@ -113,7 +114,8 @@ void normAssertDetections(
{
double interArea = (testBox & refBoxes[j]).area();
double iou = interArea / (testBox.area() + refBoxes[j].area() - interArea);
if (std::abs(iou - 1.0) < boxes_iou_diff)
topIoU = std::max(topIoU, iou);
if (1.0 - iou < boxes_iou_diff)
{
matched = true;
matchedRefBoxes[j] = true;
@ -121,8 +123,11 @@ void normAssertDetections(
}
}
if (!matched)
{
std::cout << cv::format("Unmatched prediction: class %d score %f box ",
testClassId, testScore) << testBox << std::endl;
std::cout << "Highest IoU: " << topIoU << std::endl;
}
EXPECT_TRUE(matched) << comment;
}

13
modules/dnn/test/test_darknet_importer.cpp
View File

@ -464,7 +464,7 @@ TEST_P(Test_Darknet_nets, YOLOv3)
1, 2, 0.997412f, 0.647584f, 0.459939f, 0.821038f, 0.663947f); // a car
double scoreDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.006 : 8e-5;
double iouDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.018 : 3e-4;
double iouDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? 0.042 : 3e-4;
std::string config_file = "yolov3.cfg";
std::string weights_file = "yolov3.weights";
@ -487,15 +487,10 @@ TEST_P(Test_Darknet_nets, YOLOv3)
#if defined(INF_ENGINE_RELEASE)
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
{
if (INF_ENGINE_VER_MAJOR_LE(2018050000) && target == DNN_TARGET_OPENCL)
if (target == DNN_TARGET_OPENCL)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
else if (INF_ENGINE_VER_MAJOR_EQ(2019020000))
{
if (target == DNN_TARGET_OPENCL)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
if (target == DNN_TARGET_OPENCL_FP16)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
}
else if (target == DNN_TARGET_OPENCL_FP16 && INF_ENGINE_VER_MAJOR_LE(202010000))
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
else if (target == DNN_TARGET_MYRIAD &&
getInferenceEngineVPUType() == CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X)
applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD_X);