/* * SPDX-FileCopyrightText: Copyright 2021-2022 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. */ #include #include "VisualWakeWordModel.hpp" #include "hal.h" #include "ClassificationResult.hpp" #include "Labels.hpp" #include "UseCaseHandler.hpp" #include "Classifier.hpp" #include "UseCaseCommonUtils.hpp" #include "BufAttributes.hpp" namespace arm { namespace app { static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE; namespace vww { extern uint8_t* GetModelPointer(); extern size_t GetModelLen(); } /* namespace vww */ } /* namespace app */ } /* namespace arm */ TEST_CASE("Model info") { arm::app::VisualWakeWordModel model; /* model wrapper object */ /* Load the model */ REQUIRE(model.Init(arm::app::tensorArena, sizeof(arm::app::tensorArena), arm::app::vww::GetModelPointer(), arm::app::vww::GetModelLen())); /* Instantiate application context */ arm::app::ApplicationContext caseContext; caseContext.Set("model", model); REQUIRE(model.ShowModelInfoHandler()); } TEST_CASE("Inference by index") { hal_platform_init(); arm::app::VisualWakeWordModel model; /* model wrapper object */ /* Load the model */ REQUIRE(model.Init(arm::app::tensorArena, sizeof(arm::app::tensorArena), arm::app::vww::GetModelPointer(), arm::app::vww::GetModelLen())); /* Instantiate application context */ arm::app::ApplicationContext caseContext; arm::app::Profiler profiler{"pd"}; caseContext.Set("profiler", profiler); caseContext.Set("model", model); caseContext.Set("imgIndex", 0); arm::app::Classifier classifier; /* classifier wrapper object */ caseContext.Set("classifier", classifier); std::vector labels; GetLabelsVector(labels); caseContext.Set&>("labels", labels); REQUIRE(arm::app::ClassifyImageHandler(caseContext, 0, false)); auto results = caseContext.Get>("results"); REQUIRE(results[0].m_labelIdx == 1); } TEST_CASE("Inference run all images") { /* Initialise the HAL and platform */ hal_platform_init(); arm::app::VisualWakeWordModel model; /* model wrapper object */ /* Load the model */ REQUIRE(model.Init(arm::app::tensorArena, sizeof(arm::app::tensorArena), arm::app::vww::GetModelPointer(), arm::app::vww::GetModelLen())); /* Instantiate application context */ arm::app::ApplicationContext caseContext; arm::app::Profiler profiler{"pd"}; caseContext.Set("profiler", profiler); caseContext.Set("model", model); caseContext.Set("imgIndex", 0); arm::app::Classifier classifier; /* classifier wrapper object */ caseContext.Set("classifier", classifier); std::vector labels; GetLabelsVector(labels); caseContext.Set&>("labels", labels); REQUIRE(arm::app::ClassifyImageHandler(caseContext, 0, true)); } TEST_CASE("List all images") { /* Initialise the HAL and platform */ hal_platform_init(); arm::app::VisualWakeWordModel model; /* model wrapper object */ /* Load the model */ REQUIRE(model.Init(arm::app::tensorArena, sizeof(arm::app::tensorArena), arm::app::vww::GetModelPointer(), arm::app::vww::GetModelLen())); /* Instantiate application context */ arm::app::ApplicationContext caseContext; caseContext.Set("model", model); REQUIRE(arm::app::ListFilesHandler(caseContext)); }