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>

1 files changed, 0 insertions, 66 deletions

diff --git a/source/use_case/kws_asr/include/AsrClassifier.hpp b/source/use_case/kws_asr/include/AsrClassifier.hpp
deleted file mode 100644
index 6ab9685..0000000
--- a/source/use_case/kws_asr/include/AsrClassifier.hpp
+++ /dev/null
@@ -1,66 +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.
- */
-#ifndef ASR_CLASSIFIER_HPP
-#define ASR_CLASSIFIER_HPP
-
-#include "Classifier.hpp"
-
-namespace arm {
-namespace app {
-
-    class AsrClassifier : public Classifier {
-    public:
-        /**
-         * @brief       Gets the top N classification results from the
-         *              output vector.
-         * @param[in]   outputTensor   Inference output tensor from an NN model.
-         * @param[out]  vecResults     A vector of classification results
-         *                             populated by this function.
-         * @param[in]   labels         Labels vector to match classified classes
-         * @param[in]   topNCount      Number of top classifications to pick.
-         * @param[in]   use_softmax    Whether softmax scaling should be applied to model output.
-         * @return      true if successful, false otherwise.
-         **/
-        bool GetClassificationResults(
-                TfLiteTensor* outputTensor,
-                std::vector<ClassificationResult>& vecResults,
-                const std::vector <std::string>& labels, uint32_t topNCount,
-                bool use_softmax = false) override;
-
-    private:
-
-        /**
-         * @brief       Utility function that gets the top 1 classification results from the
-         *              output tensor (vector of vector).
-         * @param[in]   tensor       Inference output tensor from an NN model.
-         * @param[out]  vecResults   A vector of classification results
-         *                           populated by this function.
-         * @param[in]   labels       Labels vector to match classified classes.
-         * @param[in]   scale        Quantization scale.
-         * @param[in]   zeroPoint    Quantization zero point.
-         * @return      true if successful, false otherwise.
-         **/
-        template<typename T>
-        bool GetTopResults(TfLiteTensor* tensor,
-                           std::vector<ClassificationResult>& vecResults,
-                           const std::vector <std::string>& labels, double scale, double zeroPoint);
-    };
-
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* ASR_CLASSIFIER_HPP */
\ No newline at end of file