| /* |
| * SPDX-FileCopyrightText: Copyright 2022 Arm Limited and/or its affiliates <open-source-office@arm.com> |
| * 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 DETECTOR_POST_PROCESSING_HPP |
| #define DETECTOR_POST_PROCESSING_HPP |
| |
| #include "ImageUtils.hpp" |
| #include "DetectionResult.hpp" |
| #include "YoloFastestModel.hpp" |
| #include "BaseProcessing.hpp" |
| |
| #include <forward_list> |
| |
| namespace arm { |
| namespace app { |
| namespace object_detection { |
| |
| struct PostProcessParams { |
| int inputImgRows{}; |
| int inputImgCols{}; |
| int originalImageSize{}; |
| const float* anchor1; |
| const float* anchor2; |
| float threshold = 0.5f; |
| float nms = 0.45f; |
| int numClasses = 1; |
| int topN = 0; |
| }; |
| |
| struct Branch { |
| int resolution; |
| int numBox; |
| const float* anchor; |
| int8_t* modelOutput; |
| float scale; |
| int zeroPoint; |
| size_t size; |
| }; |
| |
| struct Network { |
| int inputWidth; |
| int inputHeight; |
| int numClasses; |
| std::vector<Branch> branches; |
| int topN; |
| }; |
| |
| } /* namespace object_detection */ |
| |
| /** |
| * @brief Post-processing class for Object Detection use case. |
| * Implements methods declared by BasePostProcess and anything else needed |
| * to populate result vector. |
| */ |
| class DetectorPostProcess : public BasePostProcess { |
| public: |
| /** |
| * @brief Constructor. |
| * @param[in] outputTensor0 Pointer to the TFLite Micro output Tensor at index 0. |
| * @param[in] outputTensor1 Pointer to the TFLite Micro output Tensor at index 1. |
| * @param[out] results Vector of detected results. |
| * @param[in] postProcessParams Struct of various parameters used in post-processing. |
| **/ |
| explicit DetectorPostProcess(TfLiteTensor* outputTensor0, |
| TfLiteTensor* outputTensor1, |
| std::vector<object_detection::DetectionResult>& results, |
| const object_detection::PostProcessParams& postProcessParams); |
| |
| /** |
| * @brief Should perform YOLO post-processing of the result of inference then |
| * populate Detection result data for any later use. |
| * @return true if successful, false otherwise. |
| **/ |
| bool DoPostProcess() override; |
| |
| private: |
| TfLiteTensor* m_outputTensor0; /* Output tensor index 0 */ |
| TfLiteTensor* m_outputTensor1; /* Output tensor index 1 */ |
| std::vector<object_detection::DetectionResult>& m_results; /* Single inference results. */ |
| const object_detection::PostProcessParams& m_postProcessParams; /* Post processing param struct. */ |
| object_detection::Network m_net; /* YOLO network object. */ |
| |
| /** |
| * @brief Insert the given Detection in the list. |
| * @param[in] detections List of detections. |
| * @param[in] det Detection to be inserted. |
| **/ |
| void InsertTopNDetections(std::forward_list<image::Detection>& detections, image::Detection& det); |
| |
| /** |
| * @brief Given a Network calculate the detection boxes. |
| * @param[in] net Network. |
| * @param[in] imageWidth Original image width. |
| * @param[in] imageHeight Original image height. |
| * @param[in] threshold Detections threshold. |
| * @param[out] detections Detection boxes. |
| **/ |
| void GetNetworkBoxes(object_detection::Network& net, |
| int imageWidth, |
| int imageHeight, |
| float threshold, |
| std::forward_list<image::Detection>& detections); |
| }; |
| |
| } /* namespace app */ |
| } /* namespace arm */ |
| |
| #endif /* DETECTOR_POST_PROCESSING_HPP */ |