| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "../InferenceTest.hpp" |
| #include "../ImagePreprocessor.hpp" |
| #include "armnnTfParser/ITfParser.hpp" |
| |
| int main(int argc, char* argv[]) |
| { |
| int retVal = EXIT_FAILURE; |
| try |
| { |
| // Coverity fix: The following code may throw an exception of type std::length_error. |
| std::vector<ImageSet> imageSet = |
| { |
| { "Dog.jpg", 208 }, |
| // Top five predictions in tensorflow: |
| // ----------------------------------- |
| // 208:golden retriever 0.57466376 |
| // 209:Labrador retriever 0.30202731 |
| // 853:tennis ball 0.0060001756 |
| // 223:kuvasz 0.0053707925 |
| // 160:Rhodesian ridgeback 0.0018179063 |
| |
| { "Cat.jpg", 283 }, |
| // Top five predictions in tensorflow: |
| // ----------------------------------- |
| // 283:tiger cat 0.4667799 |
| // 282:tabby, tabby cat 0.32511184 |
| // 286:Egyptian cat 0.1038616 |
| // 288:lynx, catamount 0.0017019814 |
| // 284:Persian cat 0.0011340436 |
| |
| { "shark.jpg", 3 }, |
| // Top five predictions in tensorflow: |
| // ----------------------------------- |
| // 3:great white shark, white shark, ... 0.98808634 |
| // 148:grey whale, gray whale, ... 0.00070245547 |
| // 234:Bouvier des Flandres, ... 0.00024639888 |
| // 149:killer whale, killer, ... 0.00014115588 |
| // 95:hummingbird 0.00011129203 |
| }; |
| |
| armnn::TensorShape inputTensorShape({ 1, 299, 299, 3 }); |
| |
| using DataType = float; |
| using DatabaseType = ImagePreprocessor<float>; |
| using ParserType = armnnTfParser::ITfParser; |
| using ModelType = InferenceModel<ParserType, DataType>; |
| |
| // Coverity fix: InferenceTestMain() may throw uncaught exceptions. |
| retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>( |
| argc, argv, "inception_v3_2016_08_28_frozen.pb", true, |
| "input", "InceptionV3/Predictions/Reshape_1", { 0, 1, 2, }, |
| [&imageSet](const char* dataDir, const ModelType&) { |
| return DatabaseType(dataDir, 299, 299, imageSet); |
| }, |
| &inputTensorShape); |
| } |
| catch (const std::exception& e) |
| { |
| // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an |
| // exception of type std::length_error. |
| // Using stderr instead in this context as there is no point in nesting try-catch blocks here. |
| std::cerr << "WARNING: TfInceptionV3-Armnn: An error has occurred when running " |
| "the classifier inference tests: " << e.what() << std::endl; |
| } |
| return retVal; |
| } |