| /* |
| * Copyright (c) 2022 Arm Limited. All rights reserved. |
| * 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 "DetectionUseCaseUtils.hpp" |
| #include "UseCaseCommonUtils.hpp" |
| #include "InputFiles.hpp" |
| #include <inttypes.h> |
| |
| |
| 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); |
| } |
| |
| |
| bool image::PresentInferenceResult(hal_platform& platform, |
| const std::vector<arm::app::DetectionResult>& results) |
| { |
| return PresentInferenceResult(platform, results, false); |
| } |
| |
| bool image::PresentInferenceResult(hal_platform &platform, |
| const std::vector<arm::app::DetectionResult> &results, |
| const time_t infTimeMs) |
| { |
| return PresentInferenceResult(platform, results, true, infTimeMs); |
| } |
| |
| |
| bool image::PresentInferenceResult(hal_platform &platform, |
| const std::vector<arm::app::DetectionResult> &results, |
| bool profilingEnabled, |
| const time_t infTimeMs) |
| { |
| constexpr uint32_t dataPsnTxtStartX1 = 150; |
| constexpr uint32_t dataPsnTxtStartY1 = 30; |
| |
| |
| if(profilingEnabled) |
| { |
| platform.data_psn->set_text_color(COLOR_YELLOW); |
| |
| /* If profiling is enabled, and the time is valid. */ |
| info("Final results:\n"); |
| info("Total number of inferences: 1\n"); |
| if (infTimeMs) |
| { |
| std::string strInf = |
| std::string{"Inference: "} + |
| std::to_string(infTimeMs) + |
| std::string{"ms"}; |
| platform.data_psn->present_data_text( |
| strInf.c_str(), strInf.size(), |
| dataPsnTxtStartX1, dataPsnTxtStartY1, 0); |
| } |
| } |
| platform.data_psn->set_text_color(COLOR_GREEN); |
| |
| if(!profilingEnabled) { |
| info("Final results:\n"); |
| info("Total number of inferences: 1\n"); |
| } |
| |
| for (uint32_t i = 0; i < results.size(); ++i) { |
| |
| if(profilingEnabled) { |
| info("%" PRIu32 ") (%f) -> %s {x=%d,y=%d,w=%d,h=%d}\n", i, |
| results[i].m_normalisedVal, "Detection box:", |
| results[i].m_x0, results[i].m_y0, results[i].m_w, results[i].m_h ); |
| } |
| else |
| { |
| info("%" PRIu32 ") (%f) -> %s {x=%d,y=%d,w=%d,h=%d}\n", i, |
| results[i].m_normalisedVal, "Detection box:", |
| results[i].m_x0, results[i].m_y0, results[i].m_w, results[i].m_h ); |
| } |
| } |
| |
| return true; |
| } |
| |
| |
| |