MLECO-3164: Additional refactoring of KWS API
Part 1
* Add KwsClassifier
* KwsPostProcess can now be told to average results
* Averaging is handlded by KwsClassifier
* Current sliding window index is now an argument of DoPreProcess
Change-Id: I07626da595ad1cbd982e8366f0d1bb56d1040459
diff --git a/source/application/api/common/include/Classifier.hpp b/source/application/api/common/include/Classifier.hpp
index d641c22..e4eab01 100644
--- a/source/application/api/common/include/Classifier.hpp
+++ b/source/application/api/common/include/Classifier.hpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021 Arm Limited. All rights reserved.
+ * 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");
@@ -34,6 +34,8 @@
/** @brief Constructor. */
Classifier() = default;
+ virtual ~Classifier() = default;
+
/**
* @brief Gets the top N classification results from the
* output vector.
@@ -41,8 +43,8 @@
* @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. Default is 1.
- * @param[in] useSoftmax Whether Softmax normalisation should be applied to output. Default is false.
+ * @param[in] topNCount Number of top classifications to pick.
+ * @param[in] useSoftmax Whether Softmax normalisation should be applied to output.
* @return true if successful, false otherwise.
**/
@@ -65,7 +67,7 @@
std::vector<ClassificationResult>& vecResults,
const std::vector <std::string>& labels);
- private:
+ protected:
/**
* @brief Utility function that gets the top N classification results from the
* output vector.