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/*
* 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.
*/
#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\n", common::MENU_OPT_LIST_IFM);
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<arm::app::Profiler&>("profiler", profiler);
caseContext.Set<arm::app::Model&>("model", model);
caseContext.Set<uint32_t>("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<uint32_t>("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<uint32_t>(arm::app::ReadUserInputAsInt());
executionSuccessful = ObjectDetectionHandler(caseContext, imgIndex, false);
break;
}
case common::MENU_OPT_RUN_INF_ALL:
executionSuccessful = ObjectDetectionHandler(caseContext, caseContext.Get<uint32_t>("imgIndex"), true);
break;
case common::MENU_OPT_SHOW_MODEL_INFO:
executionSuccessful = model.ShowModelInfoHandler();
break;
case common::MENU_OPT_LIST_IFM:
executionSuccessful = ListFilesHandler(caseContext);
break;
default:
printf("Incorrect choice, try again.");
break;
}
} while (executionSuccessful && bUseMenu);
info("Main loop terminated.\n");
}
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