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authorKshitij Sisodia <kshitij.sisodia@arm.com>2022-05-06 09:13:03 +0100
committerKshitij Sisodia <kshitij.sisodia@arm.com>2022-05-06 17:11:41 +0100
commitaa4bcb14d0cbee910331545dd2fc086b58c37170 (patch)
treee67a43a43f61c6f8b6aad19018b0827baf7e31a6 /source/application/api/common/include/BaseProcessing.hpp
parentfcca863bafd5f33522bc14c23dde4540e264ec94 (diff)
downloadml-embedded-evaluation-kit-aa4bcb14d0cbee910331545dd2fc086b58c37170.tar.gz
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>
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+/*
+ * 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 BASE_PROCESSING_HPP
+#define BASE_PROCESSING_HPP
+
+#include <cstddef>
+
+namespace arm {
+namespace app {
+
+ /**
+ * @brief Base class exposing pre-processing API.
+ * Use cases should provide their own PreProcessing class that inherits from this one.
+ * All steps required to take raw input data and populate tensors ready for inference
+ * should be handled.
+ */
+ class BasePreProcess {
+
+ public:
+ virtual ~BasePreProcess() = default;
+
+ /**
+ * @brief Should perform pre-processing of 'raw' input 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.
+ **/
+ virtual bool DoPreProcess(const void* input, size_t inputSize) = 0;
+ };
+
+ /**
+ * @brief Base class exposing post-processing API.
+ * Use cases should provide their own PostProcessing class that inherits from this one.
+ * All steps required to take inference output and populate results vectors should be handled.
+ */
+ class BasePostProcess {
+
+ public:
+ virtual ~BasePostProcess() = default;
+
+ /**
+ * @brief Should perform post-processing of the result of inference then populate
+ * populate result data for any later use.
+ * @return true if successful, false otherwise.
+ **/
+ virtual bool DoPostProcess() = 0;
+ };
+
+} /* namespace app */
+} /* namespace arm */
+
+#endif /* BASE_PROCESSING_HPP */ \ No newline at end of file