MLECO-3096: Removing data_acq and data_psn
Further to the HAL refactoring done in previous commits,
this CR simpifies HAL by removing data_acq and data_psn
"modules". The associated function pointers have been
removed.
Change-Id: I04c194c08dfe0aff98ce4e0f0f056bac254c137d
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
diff --git a/source/use_case/ad/src/MainLoop.cc b/source/use_case/ad/src/MainLoop.cc
index 5a289bf..e858320 100644
--- a/source/use_case/ad/src/MainLoop.cc
+++ b/source/use_case/ad/src/MainLoop.cc
@@ -78,7 +78,7 @@
int menuOption = MENU_OPT_RUN_INF_NEXT;
if (bUseMenu) {
DisplayMenu();
- menuOption = arm::app::ReadUserInputAsInt(platform);
+ menuOption = arm::app::ReadUserInputAsInt();
printf("\n");
}
switch (menuOption) {
@@ -93,7 +93,7 @@
NUMBER_OF_FILES-1);
fflush(stdout);
auto audioIndex = static_cast<uint32_t>(
- arm::app::ReadUserInputAsInt(platform));
+ arm::app::ReadUserInputAsInt());
executionSuccessful = ClassifyVibrationHandler(caseContext,
audioIndex,
false);
diff --git a/source/use_case/ad/src/UseCaseHandler.cc b/source/use_case/ad/src/UseCaseHandler.cc
index 853ab08..5585f36 100644
--- a/source/use_case/ad/src/UseCaseHandler.cc
+++ b/source/use_case/ad/src/UseCaseHandler.cc
@@ -33,12 +33,11 @@
/**
* @brief Presents inference results using the data presentation
* object.
- * @param[in] platform reference to the hal platform object
* @param[in] result average sum of classification results
* @param[in] threshold if larger than this value we have an anomaly
* @return true if successful, false otherwise
**/
- static bool PresentInferenceResult(hal_platform& platform, float result, float threshold);
+ static bool PresentInferenceResult(float result, float threshold);
/**
* @brief Returns a function to perform feature calculation and populates input tensor data with
@@ -64,7 +63,6 @@
/* Vibration classification handler */
bool ClassifyVibrationHandler(ApplicationContext& ctx, uint32_t clipIndex, bool runAll)
{
- auto& platform = ctx.Get<hal_platform&>("platform");
auto& profiler = ctx.Get<Profiler&>("profiler");
constexpr uint32_t dataPsnTxtInfStartX = 20;
@@ -114,7 +112,7 @@
auto audioDataStride = nMelSpecVectorsInAudioStride * frameStride;
do {
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
auto currentIndex = ctx.Get<uint32_t>("clipIndex");
@@ -153,7 +151,7 @@
/* Display message on the LCD - inference running. */
std::string str_inf{"Running inference... "};
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
info("Running inference on audio clip %" PRIu32 " => %s\n", currentIndex, get_filename(currentIndex));
@@ -202,12 +200,12 @@
/* Erase. */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
ctx.Set<float>("result", result);
- if (!PresentInferenceResult(platform, result, scoreThreshold)) {
+ if (!PresentInferenceResult(result, scoreThreshold)) {
return false;
}
@@ -221,13 +219,13 @@
}
- static bool PresentInferenceResult(hal_platform& platform, float result, float threshold)
+ static bool PresentInferenceResult(float result, float threshold)
{
constexpr uint32_t dataPsnTxtStartX1 = 20;
constexpr uint32_t dataPsnTxtStartY1 = 30;
constexpr uint32_t dataPsnTxtYIncr = 16; /* Row index increment */
- platform.data_psn->set_text_color(COLOR_GREEN);
+ hal_lcd_set_text_color(COLOR_GREEN);
/* Display each result */
uint32_t rowIdx1 = dataPsnTxtStartY1 + 2 * dataPsnTxtYIncr;
@@ -242,7 +240,7 @@
anomalyResult += std::string("Everything fine, no anomaly detected!");
}
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
anomalyScore.c_str(), anomalyScore.size(),
dataPsnTxtStartX1, rowIdx1, false);
diff --git a/source/use_case/asr/src/MainLoop.cc b/source/use_case/asr/src/MainLoop.cc
index 40624f3..058211a 100644
--- a/source/use_case/asr/src/MainLoop.cc
+++ b/source/use_case/asr/src/MainLoop.cc
@@ -121,7 +121,7 @@
int menuOption = MENU_OPT_RUN_INF_NEXT;
if (bUseMenu) {
DisplayMenu();
- menuOption = arm::app::ReadUserInputAsInt(platform);
+ menuOption = arm::app::ReadUserInputAsInt();
printf("\n");
}
switch (menuOption) {
@@ -136,7 +136,7 @@
NUMBER_OF_FILES-1);
fflush(stdout);
auto clipIndex = static_cast<uint32_t>(
- arm::app::ReadUserInputAsInt(platform));
+ arm::app::ReadUserInputAsInt());
executionSuccessful = ClassifyAudioHandler(caseContext,
clipIndex,
false);
diff --git a/source/use_case/asr/src/UseCaseHandler.cc b/source/use_case/asr/src/UseCaseHandler.cc
index 7bce2c6..420f725 100644
--- a/source/use_case/asr/src/UseCaseHandler.cc
+++ b/source/use_case/asr/src/UseCaseHandler.cc
@@ -36,13 +36,10 @@
/**
* @brief Presents inference results using the data presentation
* object.
- * @param[in] platform Reference to the hal platform object.
* @param[in] results Vector of classification results to be displayed.
* @return true if successful, false otherwise.
**/
- static bool PresentInferenceResult(
- hal_platform& platform,
- const std::vector<arm::app::asr::AsrResult>& results);
+ static bool PresentInferenceResult(const std::vector<arm::app::asr::AsrResult>& results);
/* Audio inference classification handler. */
bool ClassifyAudioHandler(ApplicationContext& ctx, uint32_t clipIndex, bool runAll)
@@ -50,8 +47,7 @@
constexpr uint32_t dataPsnTxtInfStartX = 20;
constexpr uint32_t dataPsnTxtInfStartY = 40;
- auto& platform = ctx.Get<hal_platform&>("platform");
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
auto& profiler = ctx.Get<Profiler&>("profiler");
@@ -103,7 +99,7 @@
/* Loop to process audio clips. */
do {
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
/* Get current audio clip index. */
auto currentIndex = ctx.Get<uint32_t>("clipIndex");
@@ -136,7 +132,7 @@
/* Display message on the LCD - inference running. */
std::string str_inf{"Running inference... "};
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
@@ -192,13 +188,13 @@
/* Erase. */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
ctx.Set<std::vector<arm::app::asr::AsrResult>>("results", results);
- if (!PresentInferenceResult(platform, results)) {
+ if (!PresentInferenceResult(results)) {
return false;
}
@@ -212,14 +208,13 @@
}
- static bool PresentInferenceResult(hal_platform& platform,
- const std::vector<arm::app::asr::AsrResult>& results)
+ static bool PresentInferenceResult(const std::vector<arm::app::asr::AsrResult>& results)
{
constexpr uint32_t dataPsnTxtStartX1 = 20;
constexpr uint32_t dataPsnTxtStartY1 = 60;
constexpr bool allow_multiple_lines = true;
- platform.data_psn->set_text_color(COLOR_GREEN);
+ hal_lcd_set_text_color(COLOR_GREEN);
info("Final results:\n");
info("Total number of inferences: %zu\n", results.size());
@@ -243,7 +238,7 @@
/* Get the decoded result for the combined result. */
std::string finalResultStr = audio::asr::DecodeOutput(combinedResults);
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
finalResultStr.c_str(), finalResultStr.size(),
dataPsnTxtStartX1, dataPsnTxtStartY1,
allow_multiple_lines);
diff --git a/source/use_case/img_class/src/MainLoop.cc b/source/use_case/img_class/src/MainLoop.cc
index 05322d1..7b67a19 100644
--- a/source/use_case/img_class/src/MainLoop.cc
+++ b/source/use_case/img_class/src/MainLoop.cc
@@ -60,7 +60,7 @@
int menuOption = common::MENU_OPT_RUN_INF_NEXT;
if (bUseMenu) {
DisplayCommonMenu();
- menuOption = arm::app::ReadUserInputAsInt(platform);
+ menuOption = arm::app::ReadUserInputAsInt();
printf("\n");
}
switch (menuOption) {
@@ -70,7 +70,7 @@
case common::MENU_OPT_RUN_INF_CHOSEN: {
printf(" Enter the image index [0, %d]: ", NUMBER_OF_FILES-1);
fflush(stdout);
- auto imgIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt(platform));
+ auto imgIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt());
executionSuccessful = ClassifyImageHandler(caseContext, imgIndex, false);
break;
}
diff --git a/source/use_case/img_class/src/UseCaseHandler.cc b/source/use_case/img_class/src/UseCaseHandler.cc
index 1f1d78b..9061282 100644
--- a/source/use_case/img_class/src/UseCaseHandler.cc
+++ b/source/use_case/img_class/src/UseCaseHandler.cc
@@ -44,7 +44,6 @@
/* Image inference classification handler. */
bool ClassifyImageHandler(ApplicationContext& ctx, uint32_t imgIndex, bool runAll)
{
- auto& platform = ctx.Get<hal_platform&>("platform");
auto& profiler = ctx.Get<Profiler&>("profiler");
constexpr uint32_t dataPsnImgDownscaleFactor = 2;
@@ -89,7 +88,7 @@
std::vector<ClassificationResult> results;
do {
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
/* Strings for presentation/logging. */
std::string str_inf{"Running inference... "};
@@ -98,7 +97,7 @@
LoadImageIntoTensor(ctx.Get<uint32_t>("imgIndex"), inputTensor);
/* Display this image on the LCD. */
- platform.data_psn->present_data_image(
+ hal_lcd_display_image(
static_cast<uint8_t *>(inputTensor->data.data),
nCols, nRows, nChannels,
dataPsnImgStartX, dataPsnImgStartY, dataPsnImgDownscaleFactor);
@@ -109,7 +108,7 @@
}
/* Display message on the LCD - inference running. */
- platform.data_psn->present_data_text(str_inf.c_str(), str_inf.size(),
+ hal_lcd_display_text(str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
/* Run inference over this image. */
@@ -122,7 +121,7 @@
/* Erase. */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(str_inf.c_str(), str_inf.size(),
+ hal_lcd_display_text(str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
auto& classifier = ctx.Get<ImgClassClassifier&>("classifier");
@@ -137,7 +136,7 @@
arm::app::DumpTensor(outputTensor);
#endif /* VERIFY_TEST_OUTPUT */
- if (!PresentInferenceResult(platform, results)) {
+ if (!PresentInferenceResult(results)) {
return false;
}
diff --git a/source/use_case/inference_runner/src/UseCaseHandler.cc b/source/use_case/inference_runner/src/UseCaseHandler.cc
index 1125830..2f4b7c8 100644
--- a/source/use_case/inference_runner/src/UseCaseHandler.cc
+++ b/source/use_case/inference_runner/src/UseCaseHandler.cc
@@ -116,7 +116,6 @@
bool RunInferenceHandler(ApplicationContext& ctx)
{
- auto& platform = ctx.Get<hal_platform&>("platform");
auto& profiler = ctx.Get<Profiler&>("profiler");
auto& model = ctx.Get<Model&>("model");
@@ -143,9 +142,8 @@
std::string str_inf{"Running inference... "};
/* Display message on the LCD - inference running. */
- platform.data_psn->present_data_text(
- str_inf.c_str(), str_inf.size(),
- dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
+ hal_lcd_display_text(str_inf.c_str(), str_inf.size(),
+ dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
if (!RunInference(model, profiler)) {
return false;
@@ -153,7 +151,7 @@
/* Erase. */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
diff --git a/source/use_case/kws/src/MainLoop.cc b/source/use_case/kws/src/MainLoop.cc
index 044c957..76dff8c 100644
--- a/source/use_case/kws/src/MainLoop.cc
+++ b/source/use_case/kws/src/MainLoop.cc
@@ -87,7 +87,7 @@
int menuOption = MENU_OPT_RUN_INF_NEXT;
if (bUseMenu) {
DisplayMenu();
- menuOption = arm::app::ReadUserInputAsInt(platform);
+ menuOption = arm::app::ReadUserInputAsInt();
printf("\n");
}
switch (menuOption) {
@@ -97,7 +97,7 @@
case MENU_OPT_RUN_INF_CHOSEN: {
printf(" Enter the audio clip index [0, %d]: ", NUMBER_OF_FILES-1);
fflush(stdout);
- auto clipIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt(platform));
+ auto clipIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt());
executionSuccessful = ClassifyAudioHandler(caseContext, clipIndex, false);
break;
}
diff --git a/source/use_case/kws/src/UseCaseHandler.cc b/source/use_case/kws/src/UseCaseHandler.cc
index 8dd7724..e04cefc 100644
--- a/source/use_case/kws/src/UseCaseHandler.cc
+++ b/source/use_case/kws/src/UseCaseHandler.cc
@@ -35,16 +35,14 @@
namespace arm {
namespace app {
-
+
/**
* @brief Presents inference results using the data presentation
* object.
- * @param[in] platform Reference to the hal platform object.
* @param[in] results Vector of classification results to be displayed.
* @return true if successful, false otherwise.
**/
- static bool PresentInferenceResult(hal_platform& platform,
- const std::vector<arm::app::kws::KwsResult>& results);
+ static bool PresentInferenceResult(const std::vector<arm::app::kws::KwsResult>& results);
/**
* @brief Returns a function to perform feature calculation and populates input tensor data with
@@ -68,7 +66,6 @@
/* Audio inference handler. */
bool ClassifyAudioHandler(ApplicationContext& ctx, uint32_t clipIndex, bool runAll)
{
- auto& platform = ctx.Get<hal_platform&>("platform");
auto& profiler = ctx.Get<Profiler&>("profiler");
constexpr uint32_t dataPsnTxtInfStartX = 20;
@@ -137,7 +134,7 @@
const float secondsPerSample = 1.0/audio::MicroNetKwsMFCC::ms_defaultSamplingFreq;
do {
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
auto currentIndex = ctx.Get<uint32_t>("clipIndex");
@@ -171,7 +168,7 @@
/* Display message on the LCD - inference running. */
std::string str_inf{"Running inference... "};
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
info("Running inference on audio clip %" PRIu32 " => %s\n", currentIndex,
@@ -223,13 +220,13 @@
/* Erase. */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
ctx.Set<std::vector<arm::app::kws::KwsResult>>("results", results);
- if (!PresentInferenceResult(platform, results)) {
+ if (!PresentInferenceResult(results)) {
return false;
}
@@ -242,61 +239,6 @@
return true;
}
- static bool PresentInferenceResult(hal_platform& platform,
- const std::vector<arm::app::kws::KwsResult>& results)
- {
- constexpr uint32_t dataPsnTxtStartX1 = 20;
- constexpr uint32_t dataPsnTxtStartY1 = 30;
- constexpr uint32_t dataPsnTxtYIncr = 16; /* Row index increment. */
-
- platform.data_psn->set_text_color(COLOR_GREEN);
- info("Final results:\n");
- info("Total number of inferences: %zu\n", results.size());
-
- /* Display each result */
- uint32_t rowIdx1 = dataPsnTxtStartY1 + 2 * dataPsnTxtYIncr;
-
- for (uint32_t i = 0; i < results.size(); ++i) {
-
- std::string topKeyword{"<none>"};
- float score = 0.f;
- if (!results[i].m_resultVec.empty()) {
- topKeyword = results[i].m_resultVec[0].m_label;
- score = results[i].m_resultVec[0].m_normalisedVal;
- }
-
- std::string resultStr =
- std::string{"@"} + std::to_string(results[i].m_timeStamp) +
- std::string{"s: "} + topKeyword + std::string{" ("} +
- std::to_string(static_cast<int>(score * 100)) + std::string{"%)"};
-
- platform.data_psn->present_data_text(
- resultStr.c_str(), resultStr.size(),
- dataPsnTxtStartX1, rowIdx1, false);
- rowIdx1 += dataPsnTxtYIncr;
-
- if (results[i].m_resultVec.empty()) {
- info("For timestamp: %f (inference #: %" PRIu32
- "); label: %s; threshold: %f\n",
- results[i].m_timeStamp, results[i].m_inferenceNumber,
- topKeyword.c_str(),
- results[i].m_threshold);
- } else {
- for (uint32_t j = 0; j < results[i].m_resultVec.size(); ++j) {
- info("For timestamp: %f (inference #: %" PRIu32
- "); label: %s, score: %f; threshold: %f\n",
- results[i].m_timeStamp,
- results[i].m_inferenceNumber,
- results[i].m_resultVec[j].m_label.c_str(),
- results[i].m_resultVec[j].m_normalisedVal,
- results[i].m_threshold);
- }
- }
- }
-
- return true;
- }
-
/**
* @brief Generic feature calculator factory.
*
@@ -344,6 +286,60 @@
};
}
+ static bool PresentInferenceResult(const std::vector<arm::app::kws::KwsResult>& results)
+ {
+ constexpr uint32_t dataPsnTxtStartX1 = 20;
+ constexpr uint32_t dataPsnTxtStartY1 = 30;
+ constexpr uint32_t dataPsnTxtYIncr = 16; /* Row index increment. */
+
+ hal_lcd_set_text_color(COLOR_GREEN);
+ info("Final results:\n");
+ info("Total number of inferences: %zu\n", results.size());
+
+ /* Display each result */
+ uint32_t rowIdx1 = dataPsnTxtStartY1 + 2 * dataPsnTxtYIncr;
+
+ for (uint32_t i = 0; i < results.size(); ++i) {
+
+ std::string topKeyword{"<none>"};
+ float score = 0.f;
+ if (!results[i].m_resultVec.empty()) {
+ topKeyword = results[i].m_resultVec[0].m_label;
+ score = results[i].m_resultVec[0].m_normalisedVal;
+ }
+
+ std::string resultStr =
+ std::string{"@"} + std::to_string(results[i].m_timeStamp) +
+ std::string{"s: "} + topKeyword + std::string{" ("} +
+ std::to_string(static_cast<int>(score * 100)) + std::string{"%)"};
+
+ hal_lcd_display_text(
+ resultStr.c_str(), resultStr.size(),
+ dataPsnTxtStartX1, rowIdx1, false);
+ rowIdx1 += dataPsnTxtYIncr;
+
+ if (results[i].m_resultVec.empty()) {
+ info("For timestamp: %f (inference #: %" PRIu32
+ "); label: %s; threshold: %f\n",
+ results[i].m_timeStamp, results[i].m_inferenceNumber,
+ topKeyword.c_str(),
+ results[i].m_threshold);
+ } else {
+ for (uint32_t j = 0; j < results[i].m_resultVec.size(); ++j) {
+ info("For timestamp: %f (inference #: %" PRIu32
+ "); label: %s, score: %f; threshold: %f\n",
+ results[i].m_timeStamp,
+ results[i].m_inferenceNumber,
+ results[i].m_resultVec[j].m_label.c_str(),
+ results[i].m_resultVec[j].m_normalisedVal,
+ results[i].m_threshold);
+ }
+ }
+ }
+
+ return true;
+ }
+
template std::function<void (std::vector<int16_t>&, size_t , bool, size_t)>
FeatureCalc<int8_t>(TfLiteTensor* inputTensor,
size_t cacheSize,
diff --git a/source/use_case/kws_asr/src/MainLoop.cc b/source/use_case/kws_asr/src/MainLoop.cc
index a2beab3..096c966 100644
--- a/source/use_case/kws_asr/src/MainLoop.cc
+++ b/source/use_case/kws_asr/src/MainLoop.cc
@@ -156,7 +156,7 @@
int menuOption = MENU_OPT_RUN_INF_NEXT;
if (bUseMenu) {
DisplayMenu();
- menuOption = arm::app::ReadUserInputAsInt(platform);
+ menuOption = arm::app::ReadUserInputAsInt();
printf("\n");
}
switch (menuOption) {
@@ -171,7 +171,7 @@
NUMBER_OF_FILES-1);
fflush(stdout);
auto clipIndex = static_cast<uint32_t>(
- arm::app::ReadUserInputAsInt(platform));
+ arm::app::ReadUserInputAsInt());
executionSuccessful = ClassifyAudioHandler(caseContext,
clipIndex,
false);
diff --git a/source/use_case/kws_asr/src/UseCaseHandler.cc b/source/use_case/kws_asr/src/UseCaseHandler.cc
index d598de6..1e1a400 100644
--- a/source/use_case/kws_asr/src/UseCaseHandler.cc
+++ b/source/use_case/kws_asr/src/UseCaseHandler.cc
@@ -53,11 +53,10 @@
/**
* @brief Presents kws inference results using the data presentation
* object.
- * @param[in] platform reference to the hal platform object
* @param[in] results vector of classification results to be displayed
* @return true if successful, false otherwise
**/
- static bool PresentInferenceResult(hal_platform& platform, std::vector<arm::app::kws::KwsResult>& results);
+ static bool PresentInferenceResult(std::vector<arm::app::kws::KwsResult>& results);
/**
* @brief Presents asr inference results using the data presentation
@@ -66,7 +65,7 @@
* @param[in] results vector of classification results to be displayed
* @return true if successful, false otherwise
**/
- static bool PresentInferenceResult(hal_platform& platform, std::vector<arm::app::asr::AsrResult>& results);
+ static bool PresentInferenceResult(std::vector<arm::app::asr::AsrResult>& results);
/**
* @brief Returns a function to perform feature calculation and populates input tensor data with
@@ -186,9 +185,8 @@
std::vector<arm::app::kws::KwsResult> kwsResults;
/* Display message on the LCD - inference running. */
- auto& platform = ctx.Get<hal_platform&>("platform");
std::string str_inf{"Running KWS inference... "};
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
@@ -258,11 +256,11 @@
/* Erase. */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
- if (!PresentInferenceResult(platform, kwsResults)) {
+ if (!PresentInferenceResult(kwsResults)) {
return output;
}
@@ -285,8 +283,7 @@
constexpr uint32_t dataPsnTxtInfStartY = 40;
auto& profiler = ctx.Get<Profiler&>("profiler");
- auto& platform = ctx.Get<hal_platform&>("platform");
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
/* Get model reference. */
auto& asrModel = ctx.Get<Model&>("asrmodel");
@@ -356,7 +353,7 @@
/* Display message on the LCD - inference running. */
std::string str_inf{"Running ASR inference... "};
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
@@ -407,11 +404,11 @@
/* Erase */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
}
- if (!PresentInferenceResult(platform, asrResults)) {
+ if (!PresentInferenceResult(asrResults)) {
return false;
}
@@ -423,8 +420,7 @@
/* Audio inference classification handler. */
bool ClassifyAudioHandler(ApplicationContext& ctx, uint32_t clipIndex, bool runAll)
{
- auto& platform = ctx.Get<hal_platform&>("platform");
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
/* If the request has a valid size, set the audio index. */
if (clipIndex < NUMBER_OF_FILES) {
@@ -457,14 +453,13 @@
}
- static bool PresentInferenceResult(hal_platform& platform,
- std::vector<arm::app::kws::KwsResult>& results)
+ static bool PresentInferenceResult(std::vector<arm::app::kws::KwsResult>& results)
{
constexpr uint32_t dataPsnTxtStartX1 = 20;
constexpr uint32_t dataPsnTxtStartY1 = 30;
constexpr uint32_t dataPsnTxtYIncr = 16; /* Row index increment. */
- platform.data_psn->set_text_color(COLOR_GREEN);
+ hal_lcd_set_text_color(COLOR_GREEN);
/* Display each result. */
uint32_t rowIdx1 = dataPsnTxtStartY1 + 2 * dataPsnTxtYIncr;
@@ -484,7 +479,7 @@
std::string{"s: "} + topKeyword + std::string{" ("} +
std::to_string(static_cast<int>(score * 100)) + std::string{"%)"};
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
resultStr.c_str(), resultStr.size(),
dataPsnTxtStartX1, rowIdx1, 0);
rowIdx1 += dataPsnTxtYIncr;
@@ -502,13 +497,13 @@
return true;
}
- static bool PresentInferenceResult(hal_platform& platform, std::vector<arm::app::asr::AsrResult>& results)
+ static bool PresentInferenceResult(std::vector<arm::app::asr::AsrResult>& results)
{
constexpr uint32_t dataPsnTxtStartX1 = 20;
constexpr uint32_t dataPsnTxtStartY1 = 80;
constexpr bool allow_multiple_lines = true;
- platform.data_psn->set_text_color(COLOR_GREEN);
+ hal_lcd_set_text_color(COLOR_GREEN);
/* Results from multiple inferences should be combined before processing. */
std::vector<arm::app::ClassificationResult> combinedResults;
@@ -528,7 +523,7 @@
std::string finalResultStr = audio::asr::DecodeOutput(combinedResults);
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
finalResultStr.c_str(), finalResultStr.size(),
dataPsnTxtStartX1, dataPsnTxtStartY1, allow_multiple_lines);
diff --git a/source/use_case/noise_reduction/src/MainLoop.cc b/source/use_case/noise_reduction/src/MainLoop.cc
index c6214e3..bcaff6d 100644
--- a/source/use_case/noise_reduction/src/MainLoop.cc
+++ b/source/use_case/noise_reduction/src/MainLoop.cc
@@ -98,7 +98,7 @@
if (bUseMenu) {
DisplayMenu();
- menuOption = arm::app::ReadUserInputAsInt(platform);
+ menuOption = arm::app::ReadUserInputAsInt();
printf("\n");
}
switch (menuOption) {
@@ -108,7 +108,7 @@
case MENU_OPT_RUN_INF_CHOSEN: {
printf(" Enter the audio clip IFM index [0, %d]: ", NUMBER_OF_FILES-1);
fflush(stdout);
- auto clipIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt(platform));
+ auto clipIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt());
SetAppCtxClipIdx(caseContext, clipIndex);
executionSuccessful = NoiseReductionHandler(caseContext, false);
break;
diff --git a/source/use_case/noise_reduction/src/UseCaseHandler.cc b/source/use_case/noise_reduction/src/UseCaseHandler.cc
index 792b460..acb8ba7 100644
--- a/source/use_case/noise_reduction/src/UseCaseHandler.cc
+++ b/source/use_case/noise_reduction/src/UseCaseHandler.cc
@@ -64,8 +64,6 @@
pMemDumpBytesWritten = ctx.Get<size_t*>("MEM_DUMP_BYTE_WRITTEN");
}
std::reference_wrapper<size_t> memDumpBytesWritten = std::ref(*pMemDumpBytesWritten);
-
- auto& platform = ctx.Get<hal_platform&>("platform");
auto& profiler = ctx.Get<Profiler&>("profiler");
/* Get model reference. */
@@ -106,7 +104,7 @@
audioFileAccessorFunc = ctx.Get<std::function<const char*(const uint32_t)>>("featureFileNames");
}
do{
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
auto startDumpAddress = memDumpBaseAddr + memDumpBytesWritten;
auto currentIndex = ctx.Get<uint32_t>("clipIndex");
@@ -158,7 +156,7 @@
std::string str_inf{"Running inference... "};
/* Display message on the LCD - inference running. */
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
@@ -191,7 +189,7 @@
/* Erase. */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
@@ -218,14 +216,14 @@
IncrementAppCtxClipIdx(ctx);
std::string clearString{' '};
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
clearString.c_str(), clearString.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
std::string completeMsg{"Inference complete!"};
/* Display message on the LCD - inference complete. */
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
completeMsg.c_str(), completeMsg.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
diff --git a/source/use_case/object_detection/src/MainLoop.cc b/source/use_case/object_detection/src/MainLoop.cc
index 4bec357..0f98c8a 100644
--- a/source/use_case/object_detection/src/MainLoop.cc
+++ b/source/use_case/object_detection/src/MainLoop.cc
@@ -67,7 +67,7 @@
int menuOption = common::MENU_OPT_RUN_INF_NEXT;
if (bUseMenu) {
DisplayDetectionMenu();
- menuOption = arm::app::ReadUserInputAsInt(platform);
+ menuOption = arm::app::ReadUserInputAsInt();
printf("\n");
}
switch (menuOption) {
@@ -77,7 +77,7 @@
case common::MENU_OPT_RUN_INF_CHOSEN: {
printf(" Enter the image index [0, %d]: ", NUMBER_OF_FILES-1);
fflush(stdout);
- auto imgIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt(platform));
+ auto imgIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt());
executionSuccessful = ObjectDetectionHandler(caseContext, imgIndex, false);
break;
}
diff --git a/source/use_case/object_detection/src/UseCaseHandler.cc b/source/use_case/object_detection/src/UseCaseHandler.cc
index 27d767d..f3b317e 100644
--- a/source/use_case/object_detection/src/UseCaseHandler.cc
+++ b/source/use_case/object_detection/src/UseCaseHandler.cc
@@ -30,31 +30,27 @@
/**
* @brief Presents inference results along using the data presentation
* object.
- * @param[in] platform Reference to the hal platform object.
* @param[in] results Vector of detection results to be displayed.
* @return true if successful, false otherwise.
**/
- static bool PresentInferenceResult(hal_platform& platform,
- const std::vector<arm::app::object_detection::DetectionResult>& results);
+ static bool PresentInferenceResult(const std::vector<arm::app::object_detection::DetectionResult>& results);
/**
* @brief Draw boxes directly on the LCD for all detected objects.
- * @param[in] platform Reference to the hal platform object.
* @param[in] results Vector of detection results to be displayed.
* @param[in] imageStartX X coordinate where the image starts on the LCD.
* @param[in] imageStartY Y coordinate where the image starts on the LCD.
* @param[in] imgDownscaleFactor How much image has been downscaled on LCD.
**/
- static void DrawDetectionBoxes(hal_platform& platform,
- const std::vector<arm::app::object_detection::DetectionResult>& results,
- uint32_t imgStartX,
- uint32_t imgStartY,
- uint32_t imgDownscaleFactor);
+ static void DrawDetectionBoxes(
+ const std::vector<arm::app::object_detection::DetectionResult>& results,
+ uint32_t imgStartX,
+ uint32_t imgStartY,
+ uint32_t imgDownscaleFactor);
/* Object detection classification handler. */
bool ObjectDetectionHandler(ApplicationContext& ctx, uint32_t imgIndex, bool runAll)
{
- auto& platform = ctx.Get<hal_platform&>("platform");
auto& profiler = ctx.Get<Profiler&>("profiler");
constexpr uint32_t dataPsnImgDownscaleFactor = 1;
@@ -64,7 +60,7 @@
constexpr uint32_t dataPsnTxtInfStartX = 150;
constexpr uint32_t dataPsnTxtInfStartY = 40;
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
auto& model = ctx.Get<Model&>("model");
@@ -114,7 +110,7 @@
image::RgbToGrayscale(curr_image, dstPtr, copySz);
/* Display image on the LCD. */
- platform.data_psn->present_data_image(
+ hal_lcd_display_image(
(channelsImageDisplayed == 3) ? curr_image : dstPtr,
nCols, nRows, channelsImageDisplayed,
dataPsnImgStartX, dataPsnImgStartY, dataPsnImgDownscaleFactor);
@@ -125,7 +121,7 @@
}
/* Display message on the LCD - inference running. */
- platform.data_psn->present_data_text(str_inf.c_str(), str_inf.size(),
+ hal_lcd_display_text(str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
/* Run inference over this image. */
@@ -138,7 +134,7 @@
/* Erase. */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(str_inf.c_str(), str_inf.size(),
+ hal_lcd_display_text(str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, false);
/* Detector post-processing*/
@@ -153,14 +149,14 @@
results);
/* Draw boxes. */
- DrawDetectionBoxes(platform, results, dataPsnImgStartX, dataPsnImgStartY, dataPsnImgDownscaleFactor);
+ DrawDetectionBoxes(results, dataPsnImgStartX, dataPsnImgStartY, dataPsnImgDownscaleFactor);
#if VERIFY_TEST_OUTPUT
arm::app::DumpTensor(modelOutput0);
arm::app::DumpTensor(modelOutput1);
#endif /* VERIFY_TEST_OUTPUT */
- if (!PresentInferenceResult(platform, results)) {
+ if (!PresentInferenceResult(results)) {
return false;
}
@@ -173,11 +169,9 @@
return true;
}
-
- static bool PresentInferenceResult(hal_platform& platform,
- const std::vector<arm::app::object_detection::DetectionResult>& results)
+ static bool PresentInferenceResult(const std::vector<arm::app::object_detection::DetectionResult>& results)
{
- platform.data_psn->set_text_color(COLOR_GREEN);
+ hal_lcd_set_text_color(COLOR_GREEN);
/* If profiling is enabled, and the time is valid. */
info("Final results:\n");
@@ -192,8 +186,7 @@
return true;
}
- static void DrawDetectionBoxes(hal_platform& platform,
- const std::vector<arm::app::object_detection::DetectionResult>& results,
+ static void DrawDetectionBoxes(const std::vector<arm::app::object_detection::DetectionResult>& results,
uint32_t imgStartX,
uint32_t imgStartY,
uint32_t imgDownscaleFactor)
@@ -202,20 +195,20 @@
for (const auto& result: results) {
/* Top line. */
- platform.data_psn->present_box(imgStartX + result.m_x0/imgDownscaleFactor,
+ hal_lcd_display_box(imgStartX + result.m_x0/imgDownscaleFactor,
imgStartY + result.m_y0/imgDownscaleFactor,
result.m_w/imgDownscaleFactor, lineThickness, COLOR_GREEN);
/* Bot line. */
- platform.data_psn->present_box(imgStartX + result.m_x0/imgDownscaleFactor,
+ hal_lcd_display_box(imgStartX + result.m_x0/imgDownscaleFactor,
imgStartY + (result.m_y0 + result.m_h)/imgDownscaleFactor - lineThickness,
result.m_w/imgDownscaleFactor, lineThickness, COLOR_GREEN);
/* Left line. */
- platform.data_psn->present_box(imgStartX + result.m_x0/imgDownscaleFactor,
+ hal_lcd_display_box(imgStartX + result.m_x0/imgDownscaleFactor,
imgStartY + result.m_y0/imgDownscaleFactor,
lineThickness, result.m_h/imgDownscaleFactor, COLOR_GREEN);
/* Right line. */
- platform.data_psn->present_box(imgStartX + (result.m_x0 + result.m_w)/imgDownscaleFactor - lineThickness,
+ hal_lcd_display_box(imgStartX + (result.m_x0 + result.m_w)/imgDownscaleFactor - lineThickness,
imgStartY + result.m_y0/imgDownscaleFactor,
lineThickness, result.m_h/imgDownscaleFactor, COLOR_GREEN);
}
diff --git a/source/use_case/vww/src/MainLoop.cc b/source/use_case/vww/src/MainLoop.cc
index 30e85bf..03d6196 100644
--- a/source/use_case/vww/src/MainLoop.cc
+++ b/source/use_case/vww/src/MainLoop.cc
@@ -58,7 +58,7 @@
int menuOption = common::MENU_OPT_RUN_INF_NEXT;
if (bUseMenu) {
DisplayCommonMenu();
- menuOption = arm::app::ReadUserInputAsInt(platform);
+ menuOption = arm::app::ReadUserInputAsInt();
printf("\n");
}
@@ -69,7 +69,7 @@
case common::MENU_OPT_RUN_INF_CHOSEN: {
printf(" Enter the image index [0, %d]: ", NUMBER_OF_FILES-1);
fflush(stdout);
- auto imgIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt(platform));
+ auto imgIndex = static_cast<uint32_t>(arm::app::ReadUserInputAsInt());
executionSuccessful = ClassifyImageHandler(caseContext, imgIndex, false);
break;
}
diff --git a/source/use_case/vww/src/UseCaseHandler.cc b/source/use_case/vww/src/UseCaseHandler.cc
index a47f191..56ba2b5 100644
--- a/source/use_case/vww/src/UseCaseHandler.cc
+++ b/source/use_case/vww/src/UseCaseHandler.cc
@@ -42,7 +42,6 @@
/* Image inference classification handler. */
bool ClassifyImageHandler(ApplicationContext &ctx, uint32_t imgIndex, bool runAll)
{
- auto& platform = ctx.Get<hal_platform &>("platform");
auto& profiler = ctx.Get<Profiler&>("profiler");
constexpr uint32_t dataPsnImgDownscaleFactor = 1;
@@ -89,7 +88,7 @@
std::vector<ClassificationResult> results;
do {
- platform.data_psn->clear(COLOR_BLACK);
+ hal_lcd_clear(COLOR_BLACK);
/* Strings for presentation/logging. */
std::string str_inf{"Running inference... "};
@@ -98,7 +97,7 @@
LoadImageIntoTensor(ctx.Get<uint32_t>("imgIndex"), inputTensor);
/* Display this image on the LCD. */
- platform.data_psn->present_data_image(
+ hal_lcd_display_image(
static_cast<uint8_t *>(inputTensor->data.data),
nCols, nRows, nChannels,
dataPsnImgStartX, dataPsnImgStartY, dataPsnImgDownscaleFactor);
@@ -115,7 +114,7 @@
}
/* Display message on the LCD - inference running. */
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
@@ -129,7 +128,7 @@
/* Erase. */
str_inf = std::string(str_inf.size(), ' ');
- platform.data_psn->present_data_text(
+ hal_lcd_display_text(
str_inf.c_str(), str_inf.size(),
dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0);
@@ -145,7 +144,7 @@
arm::app::DumpTensor(outputTensor);
#endif /* VERIFY_TEST_OUTPUT */
- if (!PresentInferenceResult(platform, results)) {
+ if (!PresentInferenceResult(results)) {
return false;
}