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, 108 insertions, 0 deletions

diff --git a/source/application/api/use_case/img_class/src/ImgClassProcessing.cc b/source/application/api/use_case/img_class/src/ImgClassProcessing.cc
new file mode 100644
index 0000000..491e751
--- /dev/null
+++ b/source/application/api/use_case/img_class/src/ImgClassProcessing.cc
@@ -0,0 +1,66 @@
+/*
+ * 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 "ImgClassProcessing.hpp"
+
+#include "ImageUtils.hpp"
+#include "log_macros.h"
+
+namespace arm {
+namespace app {
+
+    ImgClassPreProcess::ImgClassPreProcess(TfLiteTensor* inputTensor, bool convertToInt8)
+    :m_inputTensor{inputTensor},
+     m_convertToInt8{convertToInt8}
+    {}
+
+    bool ImgClassPreProcess::DoPreProcess(const void* data, size_t inputSize)
+    {
+        if (data == nullptr) {
+            printf_err("Data pointer is null");
+            return false;
+        }
+
+        auto input = static_cast<const uint8_t*>(data);
+
+        std::memcpy(this->m_inputTensor->data.data, input, inputSize);
+        debug("Input tensor populated \n");
+
+        if (this->m_convertToInt8) {
+            image::ConvertImgToInt8(this->m_inputTensor->data.data, this->m_inputTensor->bytes);
+        }
+
+        return true;
+    }
+
+    ImgClassPostProcess::ImgClassPostProcess(TfLiteTensor* outputTensor, Classifier& classifier,
+                                             const std::vector<std::string>& labels,
+                                             std::vector<ClassificationResult>& results)
+            :m_outputTensor{outputTensor},
+             m_imgClassifier{classifier},
+             m_labels{labels},
+             m_results{results}
+    {}
+
+    bool ImgClassPostProcess::DoPostProcess()
+    {
+        return this->m_imgClassifier.GetClassificationResults(
+                this->m_outputTensor, this->m_results,
+                this->m_labels, 5, false);
+    }
+
+} /* namespace app */
+} /* namespace arm */
\ No newline at end of file
diff --git a/source/application/api/use_case/img_class/src/MobileNetModel.cc b/source/application/api/use_case/img_class/src/MobileNetModel.cc
new file mode 100644
index 0000000..b700d70
--- /dev/null
+++ b/source/application/api/use_case/img_class/src/MobileNetModel.cc
@@ -0,0 +1,42 @@
+/*
+ * 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 "MobileNetModel.hpp"
+#include "log_macros.h"
+
+const tflite::MicroOpResolver& arm::app::MobileNetModel::GetOpResolver()
+{
+    return this->m_opResolver;
+}
+
+bool arm::app::MobileNetModel::EnlistOperations()
+{
+    this->m_opResolver.AddDepthwiseConv2D();
+    this->m_opResolver.AddConv2D();
+    this->m_opResolver.AddAveragePool2D();
+    this->m_opResolver.AddAdd();
+    this->m_opResolver.AddReshape();
+    this->m_opResolver.AddSoftmax();
+
+    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;
+    }
+    return true;
+}