| /* |
| * Copyright (c) 2021 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 "Classifier.hpp" |
| |
| #include <catch.hpp> |
| |
| TEST_CASE("Common classifier") |
| { |
| SECTION("Test invalid classifier") |
| { |
| TfLiteTensor* outputTens = nullptr; |
| std::vector <arm::app::ClassificationResult> resultVec; |
| arm::app::Classifier classifier; |
| REQUIRE(!classifier.GetClassificationResults(outputTens, resultVec, {}, 5)); |
| } |
| |
| SECTION("Test valid classifier UINT8") |
| { |
| const int dimArray[] = {1, 1001}; |
| std::vector <std::string> labels(1001); |
| std::vector <uint8_t> outputVec(1001); |
| TfLiteIntArray* dims= tflite::testing::IntArrayFromInts(dimArray); |
| TfLiteTensor tfTensor = tflite::testing::CreateQuantizedTensor( |
| outputVec.data(), dims, 1, 0, "test"); |
| TfLiteTensor* outputTensor = &tfTensor; |
| std::vector <arm::app::ClassificationResult> resultVec; |
| arm::app::Classifier classifier; |
| REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 5)); |
| REQUIRE(5 == resultVec.size()); |
| } |
| |
| SECTION("Get classification results") |
| { |
| const int dimArray[] = {1, 1001}; |
| std::vector <std::string> labels(1001); |
| std::vector<uint8_t> outputVec(1001, static_cast<uint8_t>(5)); |
| TfLiteIntArray* dims= tflite::testing::IntArrayFromInts(dimArray); |
| TfLiteTensor tfTensor = tflite::testing::CreateQuantizedTensor( |
| outputVec.data(), dims, 1, 0, "test"); |
| TfLiteTensor* outputTensor = &tfTensor; |
| |
| std::vector <arm::app::ClassificationResult> resultVec; |
| |
| /* Set the top five results. */ |
| std::vector<std::pair<uint32_t, uint8_t>> selectedResults { |
| {0, 8}, {20, 7}, {10, 7}, {15, 9}, {1000, 10}}; |
| |
| for (size_t i = 0; i < selectedResults.size(); ++i) { |
| outputVec[selectedResults[i].first] = selectedResults[i].second; |
| } |
| |
| arm::app::Classifier classifier; |
| REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 5)); |
| REQUIRE(5 == resultVec.size()); |
| |
| REQUIRE(resultVec[0].m_labelIdx == 1000); |
| REQUIRE(resultVec[1].m_labelIdx == 15); |
| REQUIRE(resultVec[2].m_labelIdx == 0); |
| REQUIRE(resultVec[3].m_labelIdx == 20); |
| REQUIRE(resultVec[4].m_labelIdx == 10); |
| } |
| } |