| /** |
| * Copyright (C) 2020-2021 Savoir-faire Linux Inc. |
| * |
| * Author: Aline Gondim Santos <aline.gondimsantos@savoirfairelinux.com> |
| * |
| * This program is free software; you can redistribute it and/or modify |
| * it under the terms of the GNU General Public License as published by |
| * the Free Software Foundation; either version 3 of the License, or |
| * (at your option) any later version. |
| * |
| * This program is distributed in the hope that it will be useful, |
| * but WITHOUT ANY WARRANTY; without even the implied warranty of |
| * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
| * GNU General Public License for more details. |
| * |
| * You should have received a copy of the GNU General Public License |
| * along with this program; if not, write to the Free Software |
| * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 |
| * USA. |
| */ |
| |
| #pragma once |
| |
| #include "TFInference.h" |
| |
| // OpenCV headers |
| #include <opencv2/core.hpp> |
| // STL |
| #include <array> |
| #include <iostream> |
| #include <tuple> |
| #include <vector> |
| |
| namespace jami { |
| |
| class PluginInference : public TensorflowInference |
| { |
| public: |
| /** |
| * @brief PluginInference |
| * Is a type of supervised learning where we detect objects in images |
| * Draw a bounding boxes around them |
| * @param model |
| */ |
| PluginInference(TFModel model); |
| ~PluginInference(); |
| |
| #ifdef TFLITE |
| /** |
| * @brief getInput |
| * Returns the input where to fill the data |
| * Use this method if you know what you are doing, all the necessary checks |
| * on dimensions must be done on your part |
| * @return std::tuple<uint8_t *, std::vector<int>> |
| * The first element in the tuple is the pointer to the storage location |
| * The second element is a dimensions vector that will helps you make |
| * The necessary checks to make your data size match the input one |
| */ |
| std::pair<uint8_t*, std::vector<int>> getInput(); |
| |
| #else |
| void ReadTensorFromMat(const cv::Mat& image); |
| |
| #endif // TFLITE |
| |
| std::vector<float> masksPredictions() const; |
| |
| /** |
| * @brief setExpectedImageDimensions |
| * Sets imageWidth and imageHeight from the sources |
| */ |
| void setExpectedImageDimensions(); |
| |
| // Getters |
| int getImageWidth() const; |
| int getImageHeight() const; |
| int getImageNbChannels() const; |
| |
| private: |
| int imageWidth = 0; |
| int imageHeight = 0; |
| int imageNbChannels = 0; |
| }; |
| } // namespace jami |