MLECO-3183: Refactoring application sources

Platform agnostic application sources are moved into application
api module with their own independent CMake projects.

Changes for MLECO-3080 also included - they create CMake projects
individial API's (again, platform agnostic) that dependent on the
common logic. The API for KWS_API "joint" API has been removed and
now the use case relies on individual KWS, and ASR API libraries.

Change-Id: I1f7748dc767abb3904634a04e0991b74ac7b756d
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
diff --git a/source/use_case/vww/include/VisualWakeWordModel.hpp b/source/use_case/vww/include/VisualWakeWordModel.hpp
deleted file mode 100644
index 1ed9202..0000000
--- a/source/use_case/vww/include/VisualWakeWordModel.hpp
+++ /dev/null
@@ -1,54 +0,0 @@
-/*
- * Copyright (c) 2021 - 2022 Arm Limited. All rights reserved.
- * SPDX-License-Identifier: Apache-2.0
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#ifndef VISUAL_WAKE_WORD_MODEL_HPP
-#define VISUAL_WAKE_WORD_MODEL_HPP
-
-#include "Model.hpp"
-
-namespace arm {
-namespace app {
-
-    class VisualWakeWordModel : public Model {
-
-    public:
-        /* Indices for the expected model - based on input tensor shape */
-        static constexpr uint32_t ms_inputRowsIdx     = 1;
-        static constexpr uint32_t ms_inputColsIdx     = 2;
-        static constexpr uint32_t ms_inputChannelsIdx = 3;
-
-    protected:
-        /** @brief   Gets the reference to op resolver interface class. */
-        const tflite::MicroOpResolver& GetOpResolver() override;
-
-        /** @brief   Adds operations to the op resolver instance. */
-        bool EnlistOperations() override;
-
-        const uint8_t* ModelPointer() override;
-
-        size_t ModelSize() override;
-    private:
-        /* Maximum number of individual operations that can be enlisted. */
-        static constexpr int ms_maxOpCnt = 7;
-
-        /* A mutable op resolver instance. */
-        tflite::MicroMutableOpResolver<ms_maxOpCnt> m_opResolver;
-    };
-
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* VISUAL_WAKE_WORD_MODEL_HPP */
diff --git a/source/use_case/vww/include/VisualWakeWordProcessing.hpp b/source/use_case/vww/include/VisualWakeWordProcessing.hpp
deleted file mode 100644
index f9f9d72..0000000
--- a/source/use_case/vww/include/VisualWakeWordProcessing.hpp
+++ /dev/null
@@ -1,93 +0,0 @@
-/*
- * Copyright (c) 2022 Arm Limited. All rights reserved.
- * SPDX-License-Identifier: Apache-2.0
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#ifndef VWW_PROCESSING_HPP
-#define VWW_PROCESSING_HPP
-
-#include "BaseProcessing.hpp"
-#include "Model.hpp"
-#include "Classifier.hpp"
-
-namespace arm {
-namespace app {
-
-    /**
-     * @brief   Pre-processing class for Visual Wake Word use case.
-     *          Implements methods declared by BasePreProcess and anything else needed
-     *          to populate input tensors ready for inference.
-     */
-    class VisualWakeWordPreProcess : public BasePreProcess {
-
-    public:
-        /**
-         * @brief       Constructor
-         * @param[in]   inputTensor   Pointer to the TFLite Micro input Tensor.
-         * @param[in]   rgb2Gray      Convert image from 3 channel RGB to 1 channel grayscale.
-         **/
-        explicit VisualWakeWordPreProcess(TfLiteTensor* inputTensor, bool rgb2Gray=true);
-
-        /**
-         * @brief       Should perform pre-processing of 'raw' input image data and load it into
-         *              TFLite Micro input tensors ready for inference
-         * @param[in]   input      Pointer to the data that pre-processing will work on.
-         * @param[in]   inputSize  Size of the input data.
-         * @return      true if successful, false otherwise.
-         **/
-        bool DoPreProcess(const void* input, size_t inputSize) override;
-
-    private:
-        TfLiteTensor* m_inputTensor;
-        bool m_rgb2Gray;
-    };
-
-    /**
-     * @brief   Post-processing class for Visual Wake Word use case.
-     *          Implements methods declared by BasePostProcess and anything else needed
-     *          to populate result vector.
-     */
-    class VisualWakeWordPostProcess : public BasePostProcess {
-
-    private:
-        TfLiteTensor* m_outputTensor;
-        Classifier& m_vwwClassifier;
-        const std::vector<std::string>& m_labels;
-        std::vector<ClassificationResult>& m_results;
-
-    public:
-        /**
-         * @brief       Constructor
-         * @param[in]   outputTensor   Pointer to the TFLite Micro output Tensor.
-         * @param[in]   classifier     Classifier object used to get top N results from classification.
-         * @param[in]   model          Pointer to the VWW classification Model object.
-         * @param[in]   labels         Vector of string labels to identify each output of the model.
-         * @param[out]  results        Vector of classification results to store decoded outputs.
-         **/
-        VisualWakeWordPostProcess(TfLiteTensor* outputTensor, Classifier& classifier,
-                const std::vector<std::string>& labels,
-                std::vector<ClassificationResult>& results);
-
-        /**
-         * @brief    Should perform post-processing of the result of inference then
-         *           populate classification result data for any later use.
-         * @return   true if successful, false otherwise.
-         **/
-        bool DoPostProcess() override;
-    };
-
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* VWW_PROCESSING_HPP */
\ No newline at end of file
diff --git a/source/use_case/vww/src/MainLoop.cc b/source/use_case/vww/src/MainLoop.cc
index 041ea18..2161b0a 100644
--- a/source/use_case/vww/src/MainLoop.cc
+++ b/source/use_case/vww/src/MainLoop.cc
@@ -21,7 +21,17 @@
 #include "VisualWakeWordModel.hpp" /* Model class for running inference. */
 #include "UseCaseHandler.hpp"       /* Handlers for different user options. */
 #include "UseCaseCommonUtils.hpp"   /* Utils functions. */
-#include "log_macros.h"
+#include "log_macros.h"             /* Logging functions */
+#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 */
+
+extern uint8_t* GetModelPointer();
+extern size_t GetModelLen();
 
 using ViusalWakeWordClassifier = arm::app::Classifier;
 
@@ -30,11 +40,22 @@
     arm::app::VisualWakeWordModel model;  /* Model wrapper object. */
 
     /* Load the model. */
-    if (!model.Init()) {
+    if (!model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen())) {
         printf_err("Failed to initialise model\n");
         return;
     }
 
+#if !defined(ARM_NPU)
+    /* If it is not a NPU build check if the model contains a NPU operator */
+    if (model.ContainsEthosUOperator()) {
+        printf_err("No driver support for Ethos-U operator found in the model.\n");
+        return;
+    }
+#endif /* ARM_NPU */
+
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
 
@@ -55,7 +76,7 @@
     constexpr bool bUseMenu = NUMBER_OF_FILES > 1 ? true : false;
     do {
         int menuOption = common::MENU_OPT_RUN_INF_NEXT;
-        if (bUseMenu) { 
+        if (bUseMenu) {
             DisplayCommonMenu();
             menuOption = arm::app::ReadUserInputAsInt();
             printf("\n");
diff --git a/source/use_case/vww/src/VisualWakeWordModel.cc b/source/use_case/vww/src/VisualWakeWordModel.cc
deleted file mode 100644
index 59beccc..0000000
--- a/source/use_case/vww/src/VisualWakeWordModel.cc
+++ /dev/null
@@ -1,56 +0,0 @@
-/*
- * Copyright (c) 2021 Arm Limited. All rights reserved.
- * SPDX-License-Identifier: Apache-2.0
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#include "VisualWakeWordModel.hpp"
-#include "log_macros.h"
-
-const tflite::MicroOpResolver& arm::app::VisualWakeWordModel::GetOpResolver()
-{
-    return this->m_opResolver;
-}
-
-bool arm::app::VisualWakeWordModel::EnlistOperations()
-{
-    this->m_opResolver.AddDepthwiseConv2D();
-    this->m_opResolver.AddConv2D();
-    this->m_opResolver.AddAveragePool2D();
-    this->m_opResolver.AddReshape();
-    this->m_opResolver.AddPad();
-    this->m_opResolver.AddAdd();
-
-#if defined(ARM_NPU)
-    if (kTfLiteOk == this->m_opResolver.AddEthosU()) {
-        info("Added %s support to op resolver\n",
-            tflite::GetString_ETHOSU());
-    } else {
-        printf_err("Failed to add Arm NPU support to op resolver.");
-        return false;
-    }
-#endif /* ARM_NPU */
-    return true;
-}
-
-extern uint8_t* GetModelPointer();
-const uint8_t* arm::app::VisualWakeWordModel::ModelPointer()
-{
-    return GetModelPointer();
-}
-
-extern size_t GetModelLen();
-size_t arm::app::VisualWakeWordModel::ModelSize()
-{
-    return GetModelLen();
-}
\ No newline at end of file
diff --git a/source/use_case/vww/src/VisualWakeWordProcessing.cc b/source/use_case/vww/src/VisualWakeWordProcessing.cc
deleted file mode 100644
index 4ae8a54..0000000
--- a/source/use_case/vww/src/VisualWakeWordProcessing.cc
+++ /dev/null
@@ -1,80 +0,0 @@
-/*
- * Copyright (c) 2022 Arm Limited. All rights reserved.
- * SPDX-License-Identifier: Apache-2.0
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#include "VisualWakeWordProcessing.hpp"
-
-#include "ImageUtils.hpp"
-#include "VisualWakeWordModel.hpp"
-#include "log_macros.h"
-
-namespace arm {
-namespace app {
-
-    VisualWakeWordPreProcess::VisualWakeWordPreProcess(TfLiteTensor* inputTensor, bool rgb2Gray)
-    :m_inputTensor{inputTensor},
-     m_rgb2Gray{rgb2Gray}
-    {}
-
-    bool VisualWakeWordPreProcess::DoPreProcess(const void* data, size_t inputSize)
-    {
-        if (data == nullptr) {
-            printf_err("Data pointer is null");
-        }
-
-        auto input = static_cast<const uint8_t*>(data);
-
-        uint8_t* unsignedDstPtr = this->m_inputTensor->data.uint8;
-
-        if (this->m_rgb2Gray) {
-            image::RgbToGrayscale(input, unsignedDstPtr, inputSize);
-        } else {
-            std::memcpy(unsignedDstPtr, input, inputSize);
-        }
-
-        /* VWW model pre-processing is image conversion from uint8 to [0,1] float values,
-         * then quantize them with input quantization info. */
-        QuantParams inQuantParams = GetTensorQuantParams(this->m_inputTensor);
-
-        int8_t* signedDstPtr = this->m_inputTensor->data.int8;
-        for (size_t i = 0; i < this->m_inputTensor->bytes; i++) {
-            auto i_data_int8 = static_cast<int8_t>(
-                    ((static_cast<float>(unsignedDstPtr[i]) / 255.0f) / inQuantParams.scale) + inQuantParams.offset
-                    );
-            signedDstPtr[i] = std::min<int8_t>(INT8_MAX, std::max<int8_t>(i_data_int8, INT8_MIN));
-        }
-
-        debug("Input tensor populated \n");
-
-        return true;
-    }
-
-    VisualWakeWordPostProcess::VisualWakeWordPostProcess(TfLiteTensor* outputTensor, Classifier& classifier,
-            const std::vector<std::string>& labels, std::vector<ClassificationResult>& results)
-            :m_outputTensor{outputTensor},
-             m_vwwClassifier{classifier},
-             m_labels{labels},
-             m_results{results}
-    {}
-
-    bool VisualWakeWordPostProcess::DoPostProcess()
-    {
-        return this->m_vwwClassifier.GetClassificationResults(
-                this->m_outputTensor, this->m_results,
-                this->m_labels, 1, true);
-    }
-
-} /* namespace app */
-} /* namespace arm */
\ No newline at end of file
diff --git a/source/use_case/vww/usecase.cmake b/source/use_case/vww/usecase.cmake
index 8bf55fc..f6a3efe 100644
--- a/source/use_case/vww/usecase.cmake
+++ b/source/use_case/vww/usecase.cmake
@@ -1,3 +1,4 @@
+#----------------------------------------------------------------------------
 #  Copyright (c) 2021 Arm Limited. All rights reserved.
 #  SPDX-License-Identifier: Apache-2.0
 #
@@ -12,7 +13,10 @@
 #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
+#----------------------------------------------------------------------------
 
+# Append the API to use for this use case
+list(APPEND ${use_case}_API_LIST "vww")
 
 USER_OPTION(${use_case}_FILE_PATH "Directory with custom image files, or path to a single image file, to use in the evaluation application"
     ${CMAKE_CURRENT_SOURCE_DIR}/resources/${use_case}/samples/