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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 VWW_PROCESSING_HPP
#define VWW_PROCESSING_HPP
#include "BaseProcessing.hpp"
#include "Model.hpp"
#include "Classifier.hpp"
namespace arm {
namespace app {
/**
* @brief Pre-processing class for Visual Wake Word use case.
* Implements methods declared by BasePreProcess and anything else needed
* to populate input tensors ready for inference.
*/
class VisualWakeWordPreProcess : public BasePreProcess {
public:
/**
* @brief Constructor
* @param[in] inputTensor Pointer to the TFLite Micro input Tensor.
* @param[in] rgb2Gray Convert image from 3 channel RGB to 1 channel grayscale.
**/
explicit VisualWakeWordPreProcess(TfLiteTensor* inputTensor, bool rgb2Gray=true);
/**
* @brief Should perform pre-processing of 'raw' input image 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.
**/
bool DoPreProcess(const void* input, size_t inputSize) override;
private:
TfLiteTensor* m_inputTensor;
bool m_rgb2Gray;
};
/**
* @brief Post-processing class for Visual Wake Word use case.
* Implements methods declared by BasePostProcess and anything else needed
* to populate result vector.
*/
class VisualWakeWordPostProcess : public BasePostProcess {
private:
TfLiteTensor* m_outputTensor;
Classifier& m_vwwClassifier;
const std::vector<std::string>& m_labels;
std::vector<ClassificationResult>& m_results;
public:
/**
* @brief Constructor
* @param[in] outputTensor Pointer to the TFLite Micro output Tensor.
* @param[in] classifier Classifier object used to get top N results from classification.
* @param[in] model Pointer to the VWW classification Model object.
* @param[in] labels Vector of string labels to identify each output of the model.
* @param[out] results Vector of classification results to store decoded outputs.
**/
VisualWakeWordPostProcess(TfLiteTensor* outputTensor, Classifier& classifier,
const std::vector<std::string>& labels,
std::vector<ClassificationResult>& results);
/**
* @brief Should perform post-processing of the result of inference then
* populate classification result data for any later use.
* @return true if successful, false otherwise.
**/
bool DoPostProcess() override;
};
} /* namespace app */
} /* namespace arm */
#endif /* VWW_PROCESSING_HPP */
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