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Merge pull request #10854 from pengli:dnn

This commit is contained in:
Alexander Alekhin
2018-02-14 12:49:53 +00:00
6 changed files with 50 additions and 16 deletions
+1 -3
View File
@@ -174,9 +174,7 @@ TEST_P(DNNTestNetwork, MobileNet_SSD_Caffe)
TEST_P(DNNTestNetwork, MobileNet_SSD_TensorFlow)
{
if (backend == DNN_BACKEND_DEFAULT && target == DNN_TARGET_OPENCL ||
backend == DNN_BACKEND_HALIDE)
throw SkipTestException("");
if (backend == DNN_BACKEND_HALIDE) throw SkipTestException("");
Mat sample = imread(findDataFile("dnn/street.png", false));
Mat inp = blobFromImage(sample, 1.0f / 127.5, Size(300, 300), Scalar(127.5, 127.5, 127.5), false);
processNet("dnn/ssd_mobilenet_v1_coco.pb", "dnn/ssd_mobilenet_v1_coco.pbtxt",
+3 -3
View File
@@ -285,7 +285,7 @@ TEST(Test_TensorFlow, Inception_v2_SSD)
normAssert(detections, ref);
}
OCL_TEST(Test_TensorFlow, DISABLED_MobileNet_SSD)
OCL_TEST(Test_TensorFlow, MobileNet_SSD)
{
std::string netPath = findDataFile("dnn/ssd_mobilenet_v1_coco.pb", false);
std::string netConfig = findDataFile("dnn/ssd_mobilenet_v1_coco.pbtxt", false);
@@ -317,8 +317,8 @@ OCL_TEST(Test_TensorFlow, DISABLED_MobileNet_SSD)
std::vector<Mat> output;
net.forward(output, outNames);
normAssert(target[0].reshape(1, 1), output[0].reshape(1, 1));
normAssert(target[1].reshape(1, 1), output[1].reshape(1, 1), "", 1e-5, 2e-4);
normAssert(target[0].reshape(1, 1), output[0].reshape(1, 1), "", 1e-5, 1.5e-4);
normAssert(target[1].reshape(1, 1), output[1].reshape(1, 1), "", 1e-5, 3e-4);
normAssert(target[2].reshape(1, 1), output[2].reshape(1, 1), "", 4e-5, 1e-2);
}