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

1 files changed, 2 insertions, 2 deletions

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 @@ bool RunInferenceRandom(arm::app::Model& model)
 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 @@ void TestInference(const T *input_goldenFV, const T *output_goldenFV, arm::app::
 
     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])));
     }
 }