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",
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);
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);
}