/* * SPDX-FileCopyrightText: Copyright 2022 Arm Limited and/or its affiliates * 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 YOLO_FASTEST_MODEL_HPP #define YOLO_FASTEST_MODEL_HPP #include "Model.hpp" namespace arm { namespace app { namespace object_detection { extern const int originalImageSize; extern const int channelsImageDisplayed; /* NOTE: anchors are different for any given input model size, estimated during training * phase */ extern const float anchor1[]; extern const float anchor2[]; } /* namespace object_detection */ class YoloFastestModel : public Model { public: /* Indices for the expected model - based on input tensor shape */ static constexpr uint32_t ms_inputRowsIdx = 1; static constexpr uint32_t ms_inputColsIdx = 2; static constexpr uint32_t ms_inputChannelsIdx = 3; protected: /** @brief Gets the reference to op resolver interface class. */ const tflite::MicroOpResolver& GetOpResolver() override; /** @brief Adds operations to the op resolver instance. */ bool EnlistOperations() override; private: /* Maximum number of individual operations that can be enlisted. */ static constexpr int ms_maxOpCnt = 8; /* A mutable op resolver instance. */ tflite::MicroMutableOpResolver m_opResolver; }; } /* namespace app */ } /* namespace arm */ #endif /* YOLO_FASTEST_MODEL_HPP */