tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // See LICENSE file in the project root for full license information.
   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,
  43                              1.0,                             // scale
  44                              0,                               // offset
  45                              {{0.485f, 0.456f, 0.406f}},      // mean
  46                              {{0.229f, 0.224f, 0.225f}},      // stddev
  47                              DatabaseType::DataFormat::NCHW); // format
  48                      },
  49                      &inputTensorShape);
  50     }
  51     catch (const std::exception& e)
  52     {
  53         // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an
  54         // exception of type std::length_error.
  55         // Using stderr instead in this context as there is no point in nesting try-catch blocks here.
  56         std::cerr << "WARNING: OnnxMobileNet-Armnn: An error has occurred when running "
  57                      "the classifier inference tests: " << e.what() << std::endl;
  58     }
  59     return retVal;
  60 }