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>

2 files changed, 0 insertions, 147 deletions

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