/* * SPDX-FileCopyrightText: Copyright 2022, 2024 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. */ #include "hal.h" /* Brings in platform definitions. */ #include "InputFiles.hpp" /* For input images. */ #include "YoloFastestModel.hpp" /* Model class for running inference. */ #include "UseCaseHandler.hpp" /* Handlers for different user options. */ #include "UseCaseCommonUtils.hpp" /* Utils functions. */ #include "log_macros.h" /* Logging functions */ #include "BufAttributes.hpp" /* Buffer attributes to be applied */ namespace arm { namespace app { static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE; namespace object_detection { extern uint8_t* GetModelPointer(); extern size_t GetModelLen(); } /* namespace object_detection */ } /* namespace app */ } /* namespace arm */ static void DisplayDetectionMenu() { printf("\n\n"); printf("User input required\n"); printf("Enter option number from:\n\n"); printf(" %u. Run detection on next ifm\n", common::MENU_OPT_RUN_INF_NEXT); printf(" %u. Run detection ifm at chosen index\n", common::MENU_OPT_RUN_INF_CHOSEN); printf(" %u. Run detection on all ifm\n", common::MENU_OPT_RUN_INF_ALL); printf(" %u. Show NN model info\n", common::MENU_OPT_SHOW_MODEL_INFO); printf(" %u. List ifm\n", common::MENU_OPT_LIST_IFM); #if VSI_ENABLED fflush(stdout); printf(" %u. Run detection using VSI as input\n", common::MENU_OPT_RUN_INF_VSI); #endif printf("\n"); printf(" Choice: "); fflush(stdout); } void main_loop() { arm::app::YoloFastestModel model; /* Model wrapper object. */ /* Load the model. */ if (!model.Init(arm::app::tensorArena, sizeof(arm::app::tensorArena), arm::app::object_detection::GetModelPointer(), arm::app::object_detection::GetModelLen())) { printf_err("Failed to initialise model\n"); return; } /* Instantiate application context. */ arm::app::ApplicationContext caseContext; arm::app::Profiler profiler{"object_detection"}; caseContext.Set("profiler", profiler); caseContext.Set("model", model); caseContext.Set("imgIndex", 0); /* Loop. */ bool executionSuccessful = true; constexpr bool bUseMenu = NUMBER_OF_FILES > 1 ? true : false; /* Loop. */ do { int menuOption = common::MENU_OPT_RUN_INF_NEXT; if (bUseMenu) { DisplayDetectionMenu(); menuOption = arm::app::ReadUserInputAsInt(); printf("\n"); } switch (menuOption) { case common::MENU_OPT_RUN_INF_NEXT: executionSuccessful = ObjectDetectionHandler(caseContext, caseContext.Get("imgIndex"), false); break; case common::MENU_OPT_RUN_INF_CHOSEN: { printf(" Enter the image index [0, %d]: ", NUMBER_OF_FILES-1); fflush(stdout); auto imgIndex = static_cast(arm::app::ReadUserInputAsInt()); executionSuccessful = ObjectDetectionHandler(caseContext, imgIndex, false); break; } case common::MENU_OPT_RUN_INF_ALL: executionSuccessful = ObjectDetectionHandler(caseContext, caseContext.Get("imgIndex"), true); break; case common::MENU_OPT_SHOW_MODEL_INFO: executionSuccessful = model.ShowModelInfoHandler(); break; case common::MENU_OPT_LIST_IFM: executionSuccessful = ListFilesHandler(caseContext); break; #if VSI_ENABLED case common::MENU_OPT_RUN_INF_VSI: executionSuccessful = ObjectDetectionHandlerVsi(caseContext); break; #endif default: printf("Incorrect choice, try again."); break; } } while (executionSuccessful && bUseMenu); info("Main loop terminated.\n"); }