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, 80 deletions

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