Opensource ML embedded evaluation kit
Change-Id: I12e807f19f5cacad7cef82572b6dd48252fd61fd
diff --git a/source/use_case/kws_asr/include/AsrClassifier.hpp b/source/use_case/kws_asr/include/AsrClassifier.hpp
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+/*
+ * 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.
+ * @return true if successful, false otherwise.
+ **/
+ bool GetClassificationResults(
+ TfLiteTensor* outputTensor,
+ std::vector<ClassificationResult>& vecResults,
+ const std::vector <std::string>& labels, uint32_t topNCount) 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 */
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