commit 31ae9f09bb3535975595e999fbc7baca889e46e8
author alexander <alexander.efremov@arm.com> Thu Feb 10 16:15:54 2022 +0000
committer alexander <alexander.efremov@arm.com> Thu Feb 10 18:04:42 2022 +0000
tree 71f0cadc2620b9d18e474e5d40eda7b3d30a8ce4
parent 3107aa2152de9be8317e62da1d0327bcad6552e2

MLECO-2682: CMake and source refactoring.

MLECO-2930: logging macros were extracted from hal.h and used separately around the code.

MLECO-2931: arm_math lib introduced, cmsis-dsp removed from top level linkage.

MLECO-2915: platform related post-build steps.

Change-Id: Id718884e22f262a5c070ded3f3f5d4b048820147
Signed-off-by: alexander <alexander.efremov@arm.com>

source/use_case/img_class/src/UseCaseHandler.cc

diff --git a/source/use_case/img_class/src/UseCaseHandler.cc b/source/use_case/img_class/src/UseCaseHandler.cc
index 3812d81..fafc6b9 100644
--- a/source/use_case/img_class/src/UseCaseHandler.cc
+++ b/source/use_case/img_class/src/UseCaseHandler.cc
@@ -21,8 +21,9 @@
 #include "MobileNetModel.hpp"
 #include "UseCaseCommonUtils.hpp"
 #include "hal.h"
+#include "log_macros.h"
 
-#include <inttypes.h>
+#include <cinttypes>
 
 using ImgClassClassifier = arm::app::Classifier;
 
@@ -108,7 +109,7 @@
 
             /* Display message on the LCD - inference running. */
             platform.data_psn->present_data_text(str_inf.c_str(), str_inf.size(),
-                                    dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
+                                    dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
 
             /* Run inference over this image. */
             info("Running inference on image %" PRIu32 " => %s\n", ctx.Get<uint32_t>("imgIndex"),
@@ -121,12 +122,12 @@
             /* Erase. */
             str_inf = std::string(str_inf.size(), ' ');
             platform.data_psn->present_data_text(str_inf.c_str(), str_inf.size(),
-                                    dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
+                                    dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
 
             auto& classifier = ctx.Get<ImgClassClassifier&>("classifier");
             classifier.GetClassificationResults(outputTensor, results,
                                                 ctx.Get<std::vector <std::string>&>("labels"),
-                                                5);
+                                                5, false);
 
             /* Add results to context for access outside handler. */
             ctx.Set<std::vector<ClassificationResult>>("results", results);