MLECO-3186: Each use case should same namespace convention as KWS and ASR
Certain UCs required additional work due to case context variables which also
became part of a namespace in generated files.
Solution was to declare these extra variables as part of the UC namespace in the respective model.hpp files.
Additional changes to standardise use of namespaces may be required - proposing new task.
Minor typo and rewording of customizing.md in relevant sections included.
Signed-off-by: Liam Barry <liam.barry@arm.com>
Change-Id: Ie78f82a30be252cb841136ea5115f21fc8d762cb
diff --git a/source/application/api/use_case/ad/include/AdModel.hpp b/source/application/api/use_case/ad/include/AdModel.hpp
index 0436a89..d9f8a08 100644
--- a/source/application/api/use_case/ad/include/AdModel.hpp
+++ b/source/application/api/use_case/ad/include/AdModel.hpp
@@ -19,13 +19,14 @@
#include "Model.hpp"
-extern const int g_FrameLength;
-extern const int g_FrameStride;
-extern const float g_ScoreThreshold;
-extern const float g_TrainingMean;
-
namespace arm {
namespace app {
+ namespace ad {
+ extern const int g_FrameLength;
+ extern const int g_FrameStride;
+ extern const float g_ScoreThreshold;
+ extern const float g_TrainingMean;
+ } /* namespace ad */
class AdModel : public Model {
diff --git a/source/application/api/use_case/kws/include/MicroNetKwsModel.hpp b/source/application/api/use_case/kws/include/MicroNetKwsModel.hpp
index 3d2f3de..e68cd6d 100644
--- a/source/application/api/use_case/kws/include/MicroNetKwsModel.hpp
+++ b/source/application/api/use_case/kws/include/MicroNetKwsModel.hpp
@@ -28,11 +28,6 @@
extern const uint32_t g_NumMfcc;
extern const uint32_t g_NumAudioWins;
} /* namespace kws */
-} /* namespace app */
-} /* namespace arm */
-
-namespace arm {
-namespace app {
class MicroNetKwsModel : public Model {
public:
diff --git a/source/application/api/use_case/noise_reduction/include/RNNoiseModel.hpp b/source/application/api/use_case/noise_reduction/include/RNNoiseModel.hpp
index 3d2f23c..0cc0809 100644
--- a/source/application/api/use_case/noise_reduction/include/RNNoiseModel.hpp
+++ b/source/application/api/use_case/noise_reduction/include/RNNoiseModel.hpp
@@ -19,12 +19,13 @@
#include "Model.hpp"
-extern const uint32_t g_NumInputFeatures;
-extern const uint32_t g_FrameLength;
-extern const uint32_t g_FrameStride;
-
namespace arm {
namespace app {
+ namespace rnn {
+ extern const uint32_t g_NumInputFeatures;
+ extern const uint32_t g_FrameLength;
+ extern const uint32_t g_FrameStride;
+ } /* namespace rnn */
class RNNoiseModel : public Model {
public:
diff --git a/source/application/api/use_case/object_detection/include/DetectorPostProcessing.hpp b/source/application/api/use_case/object_detection/include/DetectorPostProcessing.hpp
index 30bc123..6a53688 100644
--- a/source/application/api/use_case/object_detection/include/DetectorPostProcessing.hpp
+++ b/source/application/api/use_case/object_detection/include/DetectorPostProcessing.hpp
@@ -26,7 +26,6 @@
namespace arm {
namespace app {
-
namespace object_detection {
struct Branch {
diff --git a/source/application/api/use_case/object_detection/include/YoloFastestModel.hpp b/source/application/api/use_case/object_detection/include/YoloFastestModel.hpp
index 4c64433..16d0715 100644
--- a/source/application/api/use_case/object_detection/include/YoloFastestModel.hpp
+++ b/source/application/api/use_case/object_detection/include/YoloFastestModel.hpp
@@ -19,13 +19,16 @@
#include "Model.hpp"
-extern const int originalImageSize;
-extern const int channelsImageDisplayed;
-extern const float anchor1[];
-extern const float anchor2[];
-
namespace arm {
namespace app {
+ namespace object_detection {
+ extern const int originalImageSize;
+ extern const int channelsImageDisplayed;
+ /* NOTE: anchors are different for any given input model size, estimated during training
+ * phase */
+ extern const float anchor1[];
+ extern const float anchor2[];
+ } /* namespace object_detection */
class YoloFastestModel : public Model {
diff --git a/source/application/api/use_case/object_detection/src/DetectorPostProcessing.cc b/source/application/api/use_case/object_detection/src/DetectorPostProcessing.cc
index fb1606a..7610c4f 100644
--- a/source/application/api/use_case/object_detection/src/DetectorPostProcessing.cc
+++ b/source/application/api/use_case/object_detection/src/DetectorPostProcessing.cc
@@ -43,45 +43,42 @@
m_topN(topN)
{
/* Init PostProcessing */
- this->m_net =
- object_detection::Network {
- .inputWidth = inputImgCols,
+ this->m_net = object_detection::Network{
+ .inputWidth = inputImgCols,
.inputHeight = inputImgRows,
- .numClasses = numClasses,
- .branches = {
- object_detection::Branch {
- .resolution = inputImgCols/32,
- .numBox = 3,
- .anchor = anchor1,
- .modelOutput = this->m_outputTensor0->data.int8,
- .scale = (static_cast<TfLiteAffineQuantization*>(
- this->m_outputTensor0->quantization.params))->scale->data[0],
- .zeroPoint = (static_cast<TfLiteAffineQuantization*>(
- this->m_outputTensor0->quantization.params))->zero_point->data[0],
- .size = this->m_outputTensor0->bytes
- },
- object_detection::Branch {
- .resolution = inputImgCols/16,
- .numBox = 3,
- .anchor = anchor2,
- .modelOutput = this->m_outputTensor1->data.int8,
- .scale = (static_cast<TfLiteAffineQuantization*>(
- this->m_outputTensor1->quantization.params))->scale->data[0],
- .zeroPoint = (static_cast<TfLiteAffineQuantization*>(
- this->m_outputTensor1->quantization.params))->zero_point->data[0],
- .size = this->m_outputTensor1->bytes
- }
- },
- .topN = m_topN
- };
+ .numClasses = numClasses,
+ .branches =
+ {object_detection::Branch{.resolution = inputImgCols / 32,
+ .numBox = 3,
+ .anchor = arm::app::object_detection::anchor1,
+ .modelOutput = this->m_outputTensor0->data.int8,
+ .scale = (static_cast<TfLiteAffineQuantization*>(
+ this->m_outputTensor0->quantization.params))
+ ->scale->data[0],
+ .zeroPoint = (static_cast<TfLiteAffineQuantization*>(
+ this->m_outputTensor0->quantization.params))
+ ->zero_point->data[0],
+ .size = this->m_outputTensor0->bytes},
+ object_detection::Branch{.resolution = inputImgCols / 16,
+ .numBox = 3,
+ .anchor = arm::app::object_detection::anchor2,
+ .modelOutput = this->m_outputTensor1->data.int8,
+ .scale = (static_cast<TfLiteAffineQuantization*>(
+ this->m_outputTensor1->quantization.params))
+ ->scale->data[0],
+ .zeroPoint = (static_cast<TfLiteAffineQuantization*>(
+ this->m_outputTensor1->quantization.params))
+ ->zero_point->data[0],
+ .size = this->m_outputTensor1->bytes}},
+ .topN = m_topN};
/* End init */
}
bool DetectorPostProcess::DoPostProcess()
{
/* Start postprocessing */
- int originalImageWidth = originalImageSize;
- int originalImageHeight = originalImageSize;
+ int originalImageWidth = arm::app::object_detection::originalImageSize;
+ int originalImageHeight = arm::app::object_detection::originalImageSize;
std::forward_list<image::Detection> detections;
GetNetworkBoxes(this->m_net, originalImageWidth, originalImageHeight, m_threshold, detections);
diff --git a/source/hal/source/platform/mps3/CMakeLists.txt b/source/hal/source/platform/mps3/CMakeLists.txt
index 46da2fa..332837c 100644
--- a/source/hal/source/platform/mps3/CMakeLists.txt
+++ b/source/hal/source/platform/mps3/CMakeLists.txt
@@ -25,7 +25,7 @@
DESCRIPTION "Platform drivers library for MPS3 FPGA/FVP targets"
LANGUAGES C CXX ASM)
-# 1. We should be cross-compiling (MPS3 taregt only runs Cortex-M targets)
+# 1. We should be cross-compiling (MPS3 target only runs Cortex-M targets)
if (NOT ${CMAKE_CROSSCOMPILING})
message(FATAL_ERROR "No ${PLATFORM_DRIVERS_TARGET} support for this target.")
endif()
diff --git a/source/use_case/ad/src/MainLoop.cc b/source/use_case/ad/src/MainLoop.cc
index c9d763c..4e5edc1 100644
--- a/source/use_case/ad/src/MainLoop.cc
+++ b/source/use_case/ad/src/MainLoop.cc
@@ -22,14 +22,15 @@
#include "BufAttributes.hpp" /* Buffer attributes to be applied */
namespace arm {
- namespace app {
- static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
- } /* namespace app */
+namespace app {
+ namespace ad {
+ extern uint8_t* GetModelPointer();
+ extern size_t GetModelLen();
+ } /* namespace ad */
+ static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+} /* namespace app */
} /* namespace arm */
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
enum opcodes
{
MENU_OPT_RUN_INF_NEXT = 1, /* Run on next vector */
@@ -53,7 +54,6 @@
fflush(stdout);
}
-
void main_loop()
{
arm::app::AdModel model; /* Model wrapper object. */
@@ -61,9 +61,8 @@
/* Load the model. */
if (!model.Init(arm::app::tensorArena,
sizeof(arm::app::tensorArena),
- GetModelPointer(),
- GetModelLen()))
- {
+ arm::app::ad::GetModelPointer(),
+ arm::app::ad::GetModelLen())) {
printf_err("failed to initialise model\n");
return;
}
@@ -75,10 +74,10 @@
caseContext.Set<arm::app::Profiler&>("profiler", profiler);
caseContext.Set<arm::app::Model&>("model", model);
caseContext.Set<uint32_t>("clipIndex", 0);
- caseContext.Set<uint32_t>("frameLength", g_FrameLength);
- caseContext.Set<uint32_t>("frameStride", g_FrameStride);
- caseContext.Set<float>("scoreThreshold", g_ScoreThreshold);
- caseContext.Set<float>("trainingMean", g_TrainingMean);
+ caseContext.Set<uint32_t>("frameLength", arm::app::ad::g_FrameLength);
+ caseContext.Set<uint32_t>("frameStride", arm::app::ad::g_FrameStride);
+ caseContext.Set<float>("scoreThreshold", arm::app::ad::g_ScoreThreshold);
+ caseContext.Set<float>("trainingMean", arm::app::ad::g_TrainingMean);
/* Main program loop. */
bool executionSuccessful = true;
diff --git a/source/use_case/ad/usecase.cmake b/source/use_case/ad/usecase.cmake
index 06d7681..d19820d 100644
--- a/source/use_case/ad/usecase.cmake
+++ b/source/use_case/ad/usecase.cmake
@@ -86,4 +86,4 @@
MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
DESTINATION ${SRC_GEN_DIR}
EXPRESSIONS ${EXTRA_MODEL_CODE}
-)
+ NAMESPACE "arm" "app" "ad")
diff --git a/source/use_case/asr/src/MainLoop.cc b/source/use_case/asr/src/MainLoop.cc
index 354d1f7..290c41c 100644
--- a/source/use_case/asr/src/MainLoop.cc
+++ b/source/use_case/asr/src/MainLoop.cc
@@ -25,11 +25,11 @@
namespace arm {
namespace app {
-namespace asr {
static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
- extern uint8_t* GetModelPointer();
- extern size_t GetModelLen();
-} /* namespace asr */
+ namespace asr {
+ extern uint8_t* GetModelPointer();
+ extern size_t GetModelLen();
+ } /* namespace asr */
} /* namespace app */
} /* namespace arm */
@@ -64,8 +64,8 @@
arm::app::Wav2LetterModel model; /* Model wrapper object. */
/* Load the model. */
- if (!model.Init(arm::app::asr::tensorArena,
- sizeof(arm::app::asr::tensorArena),
+ if (!model.Init(arm::app::tensorArena,
+ sizeof(arm::app::tensorArena),
arm::app::asr::GetModelPointer(),
arm::app::asr::GetModelLen())) {
printf_err("Failed to initialise model\n");
diff --git a/source/use_case/img_class/src/MainLoop.cc b/source/use_case/img_class/src/MainLoop.cc
index 86ea2ea..a44a401 100644
--- a/source/use_case/img_class/src/MainLoop.cc
+++ b/source/use_case/img_class/src/MainLoop.cc
@@ -24,14 +24,15 @@
#include "BufAttributes.hpp" /* Buffer attributes to be applied */
namespace arm {
- namespace app {
- static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
- } /* namespace app */
+namespace app {
+ static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+ namespace img_class {
+ extern uint8_t* GetModelPointer();
+ extern size_t GetModelLen();
+ } /* namespace img_class */
+} /* namespace app */
} /* namespace arm */
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
using ImgClassClassifier = arm::app::Classifier;
void main_loop()
@@ -41,8 +42,8 @@
/* Load the model. */
if (!model.Init(arm::app::tensorArena,
sizeof(arm::app::tensorArena),
- GetModelPointer(),
- GetModelLen())) {
+ arm::app::img_class::GetModelPointer(),
+ arm::app::img_class::GetModelLen())) {
printf_err("Failed to initialise model\n");
return;
}
diff --git a/source/use_case/img_class/usecase.cmake b/source/use_case/img_class/usecase.cmake
index 2a8be09..e0b6bc8 100644
--- a/source/use_case/img_class/usecase.cmake
+++ b/source/use_case/img_class/usecase.cmake
@@ -63,4 +63,4 @@
generate_tflite_code(
MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
DESTINATION ${SRC_GEN_DIR}
- )
+ NAMESPACE "arm" "app" "img_class")
diff --git a/source/use_case/inference_runner/src/MainLoop.cc b/source/use_case/inference_runner/src/MainLoop.cc
index 28b5c0a..59afa63 100644
--- a/source/use_case/inference_runner/src/MainLoop.cc
+++ b/source/use_case/inference_runner/src/MainLoop.cc
@@ -22,17 +22,15 @@
#include "BufAttributes.hpp" /* Buffer attributes to be applied */
namespace arm {
- namespace app {
- static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
- } /* namespace app */
-} /* namespace arm */
-
+namespace app {
+ static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+ namespace inference_runner {
#if defined(DYNAMIC_MODEL_BASE) && defined(DYNAMIC_MODEL_SIZE)
static uint8_t* GetModelPointer()
{
info("Model pointer: 0x%08x\n", DYNAMIC_MODEL_BASE);
- return reinterpret_cast<uint8_t *>(DYNAMIC_MODEL_BASE);
+ return reinterpret_cast<uint8_t*>(DYNAMIC_MODEL_BASE);
}
static size_t GetModelLen()
@@ -49,6 +47,9 @@
extern size_t GetModelLen();
#endif /* defined(DYNAMIC_MODEL_BASE) && defined(DYNAMIC_MODEL_SIZE) */
+ } /* namespace inference_runner */
+} /* namespace app */
+} /* namespace arm */
enum opcodes
{
@@ -63,8 +64,8 @@
/* Load the model. */
if (!model.Init(arm::app::tensorArena,
sizeof(arm::app::tensorArena),
- GetModelPointer(),
- GetModelLen())) {
+ arm::app::inference_runner::GetModelPointer(),
+ arm::app::inference_runner::GetModelLen())) {
printf_err("Failed to initialise model\n");
return;
}
diff --git a/source/use_case/inference_runner/usecase.cmake b/source/use_case/inference_runner/usecase.cmake
index c70be71..5a86aa6 100644
--- a/source/use_case/inference_runner/usecase.cmake
+++ b/source/use_case/inference_runner/usecase.cmake
@@ -72,5 +72,5 @@
generate_tflite_code(
MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
DESTINATION ${SRC_GEN_DIR}
- )
+ NAMESPACE "arm" "app" "inference_runner")
endif()
diff --git a/source/use_case/kws/src/MainLoop.cc b/source/use_case/kws/src/MainLoop.cc
index 550e7a1..e0518f2 100644
--- a/source/use_case/kws/src/MainLoop.cc
+++ b/source/use_case/kws/src/MainLoop.cc
@@ -26,11 +26,11 @@
namespace arm {
namespace app {
-namespace kws {
static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
- extern uint8_t *GetModelPointer();
- extern size_t GetModelLen();
-} /* namespace kws */
+ namespace kws {
+ extern uint8_t* GetModelPointer();
+ extern size_t GetModelLen();
+ } /* namespace kws */
} /* namespace app */
} /* namespace arm */
@@ -64,8 +64,8 @@
arm::app::MicroNetKwsModel model; /* Model wrapper object. */
/* Load the model. */
- if (!model.Init(arm::app::kws::tensorArena,
- sizeof(arm::app::kws::tensorArena),
+ if (!model.Init(arm::app::tensorArena,
+ sizeof(arm::app::tensorArena),
arm::app::kws::GetModelPointer(),
arm::app::kws::GetModelLen())) {
printf_err("Failed to initialise model\n");
diff --git a/source/use_case/kws_asr/src/MainLoop.cc b/source/use_case/kws_asr/src/MainLoop.cc
index bba4480..0638ecd 100644
--- a/source/use_case/kws_asr/src/MainLoop.cc
+++ b/source/use_case/kws_asr/src/MainLoop.cc
@@ -28,17 +28,17 @@
namespace arm {
namespace app {
- static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
namespace asr {
extern uint8_t* GetModelPointer();
extern size_t GetModelLen();
- }
+ } /* namespace asr */
namespace kws {
extern uint8_t* GetModelPointer();
extern size_t GetModelLen();
- }
+ } /* namespace kws */
+ static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
} /* namespace app */
} /* namespace arm */
diff --git a/source/use_case/noise_reduction/src/MainLoop.cc b/source/use_case/noise_reduction/src/MainLoop.cc
index 257f5cf..bc277da 100644
--- a/source/use_case/noise_reduction/src/MainLoop.cc
+++ b/source/use_case/noise_reduction/src/MainLoop.cc
@@ -22,14 +22,15 @@
#include "BufAttributes.hpp" /* Buffer attributes to be applied */
namespace arm {
- namespace app {
- static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
- } /* namespace app */
+namespace app {
+ static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+ namespace rnn {
+ extern uint8_t* GetModelPointer();
+ extern size_t GetModelLen();
+ } /* namespace rnn */
+} /* namespace app */
} /* namespace arm */
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
enum opcodes
{
MENU_OPT_RUN_INF_NEXT = 1, /* Run on next vector. */
@@ -74,8 +75,8 @@
/* Load the model. */
if (!model.Init(arm::app::tensorArena,
sizeof(arm::app::tensorArena),
- GetModelPointer(),
- GetModelLen())) {
+ arm::app::rnn::GetModelPointer(),
+ arm::app::rnn::GetModelLen())) {
printf_err("Failed to initialise model\n");
return;
}
@@ -85,9 +86,9 @@
arm::app::Profiler profiler{"noise_reduction"};
caseContext.Set<arm::app::Profiler&>("profiler", profiler);
- caseContext.Set<uint32_t>("numInputFeatures", g_NumInputFeatures);
- caseContext.Set<uint32_t>("frameLength", g_FrameLength);
- caseContext.Set<uint32_t>("frameStride", g_FrameStride);
+ caseContext.Set<uint32_t>("numInputFeatures", arm::app::rnn::g_NumInputFeatures);
+ caseContext.Set<uint32_t>("frameLength", arm::app::rnn::g_FrameLength);
+ caseContext.Set<uint32_t>("frameStride", arm::app::rnn::g_FrameStride);
caseContext.Set<arm::app::RNNoiseModel&>("model", model);
SetAppCtxClipIdx(caseContext, 0);
diff --git a/source/use_case/noise_reduction/usecase.cmake b/source/use_case/noise_reduction/usecase.cmake
index 0cd0761..199f8e1 100644
--- a/source/use_case/noise_reduction/usecase.cmake
+++ b/source/use_case/noise_reduction/usecase.cmake
@@ -81,7 +81,7 @@
MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
DESTINATION ${SRC_GEN_DIR}
EXPRESSIONS ${EXTRA_MODEL_CODE}
-)
+ NAMESPACE "arm" "app" "rnn")
# For MPS3, allow dumping of output data to memory, based on these parameters:
diff --git a/source/use_case/object_detection/src/MainLoop.cc b/source/use_case/object_detection/src/MainLoop.cc
index 4d70d2d..dc9b693 100644
--- a/source/use_case/object_detection/src/MainLoop.cc
+++ b/source/use_case/object_detection/src/MainLoop.cc
@@ -23,14 +23,15 @@
#include "BufAttributes.hpp" /* Buffer attributes to be applied */
namespace arm {
- namespace app {
- static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
- } /* namespace app */
+namespace app {
+ static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+ namespace object_detection {
+ extern uint8_t* GetModelPointer();
+ extern size_t GetModelLen();
+ } /* namespace object_detection */
+} /* namespace app */
} /* namespace arm */
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
static void DisplayDetectionMenu()
{
printf("\n\n");
@@ -52,8 +53,8 @@
/* Load the model. */
if (!model.Init(arm::app::tensorArena,
sizeof(arm::app::tensorArena),
- GetModelPointer(),
- GetModelLen())) {
+ arm::app::object_detection::GetModelPointer(),
+ arm::app::object_detection::GetModelLen())) {
printf_err("Failed to initialise model\n");
return;
}
diff --git a/source/use_case/object_detection/src/UseCaseHandler.cc b/source/use_case/object_detection/src/UseCaseHandler.cc
index 4d0877a..e9bcd4a 100644
--- a/source/use_case/object_detection/src/UseCaseHandler.cc
+++ b/source/use_case/object_detection/src/UseCaseHandler.cc
@@ -27,6 +27,9 @@
namespace arm {
namespace app {
+ namespace object_detection {
+ extern const int channelsImageDisplayed;
+ } /* namespace object_detection */
/**
* @brief Presents inference results along using the data presentation
@@ -122,9 +125,13 @@
/* Display image on the LCD. */
hal_lcd_display_image(
- (channelsImageDisplayed == 3) ? currImage : dstPtr,
- inputImgCols, inputImgRows, channelsImageDisplayed,
- dataPsnImgStartX, dataPsnImgStartY, dataPsnImgDownscaleFactor);
+ (arm::app::object_detection::channelsImageDisplayed == 3) ? currImage : dstPtr,
+ inputImgCols,
+ inputImgRows,
+ arm::app::object_detection::channelsImageDisplayed,
+ dataPsnImgStartX,
+ dataPsnImgStartY,
+ dataPsnImgDownscaleFactor);
/* Display message on the LCD - inference running. */
hal_lcd_display_text(str_inf.c_str(), str_inf.size(),
diff --git a/source/use_case/object_detection/usecase.cmake b/source/use_case/object_detection/usecase.cmake
index 850e7fc..b0a07d5 100644
--- a/source/use_case/object_detection/usecase.cmake
+++ b/source/use_case/object_detection/usecase.cmake
@@ -76,4 +76,4 @@
MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
DESTINATION ${SRC_GEN_DIR}
EXPRESSIONS ${EXTRA_MODEL_CODE}
- )
+ NAMESPACE "arm" "app" "object_detection")
diff --git a/source/use_case/vww/src/MainLoop.cc b/source/use_case/vww/src/MainLoop.cc
index fae7530..4fb5df7 100644
--- a/source/use_case/vww/src/MainLoop.cc
+++ b/source/use_case/vww/src/MainLoop.cc
@@ -25,14 +25,15 @@
#include "BufAttributes.hpp" /* Buffer attributes to be applied */
namespace arm {
- namespace app {
- static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
- } /* namespace app */
+namespace app {
+ static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+ namespace vww {
+ extern uint8_t* GetModelPointer();
+ extern size_t GetModelLen();
+ } /* namespace vww */
+} /* namespace app */
} /* namespace arm */
-extern uint8_t* GetModelPointer();
-extern size_t GetModelLen();
-
using ViusalWakeWordClassifier = arm::app::Classifier;
void main_loop()
@@ -42,8 +43,8 @@
/* Load the model. */
if (!model.Init(arm::app::tensorArena,
sizeof(arm::app::tensorArena),
- GetModelPointer(),
- GetModelLen())) {
+ arm::app::vww::GetModelPointer(),
+ arm::app::vww::GetModelLen())) {
printf_err("Failed to initialise model\n");
return;
}
diff --git a/source/use_case/vww/usecase.cmake b/source/use_case/vww/usecase.cmake
index f6a3efe..7ef4596 100644
--- a/source/use_case/vww/usecase.cmake
+++ b/source/use_case/vww/usecase.cmake
@@ -48,7 +48,7 @@
generate_tflite_code(
MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
DESTINATION ${SRC_GEN_DIR}
-)
+ NAMESPACE "arm" "app" "vww")
# Generate labels file
set(${use_case}_LABELS_CPP_FILE Labels)