MLECO-2458 and MLECO-2476 [Fix] VWW IFM quant step
* Changed image->cc conversion to be similar with preprocessing
of img_class and vww models: images are scaled maintaing the
aspect ration and then the centre crop of the correct size
is taken.
* VWW applies input quantization info to the int8 image
(prior converted to [0,1] float range).
* Changed adult_blur to a image without person.
* Fix menu print when selecting a specific ifm to run
(Select message was displayed after typing something)
Change-Id: Ie6cde7ab4835ea842667b87397458a5d32131df3
diff --git a/tests/use_case/ad/InferenceTestAD.cc b/tests/use_case/ad/InferenceTestAD.cc
index d5e21c2..ad785e8 100644
--- a/tests/use_case/ad/InferenceTestAD.cc
+++ b/tests/use_case/ad/InferenceTestAD.cc
@@ -64,7 +64,7 @@
template <typename T>
void TestInference(const T *input_goldenFV, const T *output_goldenFV, arm::app::Model& model)
{
- REQUIRE(RunInference(model, (int8_t*)input_goldenFV));
+ REQUIRE(RunInference(model, static_cast<const T*>(input_goldenFV)));
TfLiteTensor *outputTensor = model.GetOutputTensor(0);
@@ -75,7 +75,7 @@
for (size_t i = 0; i < outputTensor->bytes; i++)
{
- REQUIRE((int)tensorData[i] == (int)((T)output_goldenFV[i]));
+ REQUIRE(static_cast<int>(tensorData[i]) == static_cast<int>(((T)output_goldenFV[i])));
}
}