telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4 | // |
| 5 | #include "../InferenceTest.hpp" |
| 6 | #include "../ImagePreprocessor.hpp" |
| 7 | #include "armnnOnnxParser/IOnnxParser.hpp" |
| 8 | |
| 9 | int main(int argc, char* argv[]) |
| 10 | { |
| 11 | int retVal = EXIT_FAILURE; |
| 12 | try |
| 13 | { |
| 14 | // Coverity fix: The following code may throw an exception of type std::length_error. |
| 15 | std::vector<ImageSet> imageSet = |
| 16 | { |
| 17 | {"Dog.jpg", 208}, |
| 18 | {"Cat.jpg", 281}, |
| 19 | {"shark.jpg", 2}, |
| 20 | }; |
| 21 | |
| 22 | armnn::TensorShape inputTensorShape({ 1, 3, 224, 224 }); |
| 23 | |
| 24 | using DataType = float; |
| 25 | using DatabaseType = ImagePreprocessor<float>; |
| 26 | using ParserType = armnnOnnxParser::IOnnxParser; |
| 27 | using ModelType = InferenceModel<ParserType, DataType>; |
| 28 | |
| 29 | // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions. |
| 30 | retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>( |
| 31 | argc, argv, |
| 32 | "mobilenetv2-1.0.onnx", // model name |
| 33 | true, // model is binary |
| 34 | "data", "mobilenetv20_output_flatten0_reshape0", // input and output tensor names |
| 35 | { 0, 1, 2 }, // test images to test with as above |
| 36 | [&imageSet](const char* dataDir, const ModelType&) { |
| 37 | // This creates create a 1, 3, 224, 224 normalized input with mean and stddev to pass to Armnn |
| 38 | return DatabaseType( |
| 39 | dataDir, |
| 40 | 224, |
| 41 | 224, |
| 42 | imageSet, |
FinnWilliamsArm | af8b72d | 2019-05-22 14:50:55 +0100 | [diff] [blame] | 43 | 255.0, // scale |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 44 | {{0.485f, 0.456f, 0.406f}}, // mean |
| 45 | {{0.229f, 0.224f, 0.225f}}, // stddev |
| 46 | DatabaseType::DataFormat::NCHW); // format |
| 47 | }, |
| 48 | &inputTensorShape); |
| 49 | } |
| 50 | catch (const std::exception& e) |
| 51 | { |
| 52 | // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an |
| 53 | // exception of type std::length_error. |
| 54 | // Using stderr instead in this context as there is no point in nesting try-catch blocks here. |
| 55 | std::cerr << "WARNING: OnnxMobileNet-Armnn: An error has occurred when running " |
| 56 | "the classifier inference tests: " << e.what() << std::endl; |
| 57 | } |
| 58 | return retVal; |
| 59 | } |