message: add ocl accuracy test for tf mobilenet ssd
diff: @@ -11,6 +11,8 @@ Test for Tensorflow models loading
  #include "test_precomp.hpp"
  #include "npy_blob.hpp"
  +#include <opencv2/core/ocl.hpp>
  +#include <opencv2/ts/ocl_test.hpp>
  namespace cvtest
  {
  @@ -219,6 +221,43 @@ TEST(Test_TensorFlow, MobileNet_SSD)
  normAssert(target[2].reshape(1, 1), output[2].reshape(1, 1), "", 4e-5, 1e-2);
  }
  +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::string imgPath = findDataFile("dnn/street.png", false);
  +
  + Mat inp;
  + resize(imread(imgPath), inp, Size(300, 300));
  + inp = blobFromImage(inp, 1.0f / 127.5, Size(), Scalar(127.5, 127.5, 127.5), true);
  +
  + std::vector<String> outNames(3);
  + outNames[0] = "concat";
  + outNames[1] = "concat_1";
  + outNames[2] = "detection_out";
  +
  + std::vector<Mat> target(outNames.size());
  + for (int i = 0; i < outNames.size(); ++i)
  + {
  + std::string path = findDataFile("dnn/tensorflow/ssd_mobilenet_v1_coco." + outNames[i] + ".npy", false);
  + target[i] = blobFromNPY(path);
  + }
  +
  + Net net = readNetFromTensorflow(netPath, netConfig);
  +
  + net.setPreferableBackend(DNN_BACKEND_DEFAULT);
  + net.setPreferableTarget(DNN_TARGET_OPENCL);
  +
  + net.setInput(inp);
  +
  + 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[2].reshape(1, 1), output[2].reshape(1, 1), "", 4e-5, 1e-2);
  +}
  +
  TEST(Test_TensorFlow, lstm)
  {
  runTensorFlowNet("lstm", true);
  