| // |
| // 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", 209}, |
| // Top five predictions in tensorflow: |
| // ----------------------------------- |
| // 209:Labrador retriever 0.46392533 |
| // 160:Rhodesian ridgeback 0.29911423 |
| // 208:golden retriever 0.108059585 |
| // 169:redbone 0.033753652 |
| // 274:dingo, warrigal, warragal, ... 0.01232666 |
| |
| {"Cat.jpg", 283}, |
| // Top five predictions in tensorflow: |
| // ----------------------------------- |
| // 283:tiger cat 0.6508582 |
| // 286:Egyptian cat 0.2604343 |
| // 282:tabby, tabby cat 0.028786005 |
| // 288:lynx, catamount 0.020673484 |
| // 40:common iguana, iguana, ... 0.0080499435 |
| |
| {"shark.jpg", 3}, |
| // Top five predictions in tensorflow: |
| // ----------------------------------- |
| // 3:great white shark, white shark, ... 0.96672016 |
| // 4:tiger shark, Galeocerdo cuvieri 0.028302953 |
| // 149:killer whale, killer, orca, ... 0.0020228163 |
| // 5:hammerhead, hammerhead shark 0.0017547971 |
| // 150:dugong, Dugong dugon 0.0003968083 |
| }; |
| |
| armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 }); |
| |
| using DataType = float; |
| using DatabaseType = ImagePreprocessor<float>; |
| using ParserType = armnnTfParser::ITfParser; |
| using ModelType = InferenceModel<ParserType, DataType>; |
| |
| // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions. |
| retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>( |
| argc, argv, |
| "mobilenet_v1_1.0_224_frozen.pb", // model name |
| true, // model is binary |
| "input", "MobilenetV1/Predictions/Reshape_1", // input and output tensor names |
| { 0, 1, 2 }, // test images to test with as above |
| [&imageSet](const char* dataDir, const ModelType&) { |
| // This creates a 224x224x3 NHWC float tensor to pass to Armnn |
| return DatabaseType( |
| dataDir, |
| 224, |
| 224, |
| 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: TfMobileNet-Armnn: An error has occurred when running " |
| "the classifier inference tests: " << e.what() << std::endl; |
| } |
| return retVal; |
| } |