ModelAccuracyCheckerTest.cpp File Reference

#include "ModelAccuracyChecker.hpp"
#include <boost/algorithm/string.hpp>
#include <boost/test/unit_test.hpp>
#include <boost/filesystem.hpp>
#include <boost/optional.hpp>
#include <boost/variant.hpp>
#include <iostream>
#include <string>

Go to the source code of this file.

Typedefs
using	TContainer = boost::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > >

Functions
	BOOST_FIXTURE_TEST_CASE (TestFloat32OutputTensorAccuracy, TestHelper)

Typedef Documentation

TContainer

using TContainer = boost::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char> >

Definition at line 59 of file ModelAccuracyCheckerTest.cpp.

Function Documentation

BOOST_FIXTURE_TEST_CASE()

BOOST_FIXTURE_TEST_CASE	(	TestFloat32OutputTensorAccuracy	,
		TestHelper
	)

Definition at line 61 of file ModelAccuracyCheckerTest.cpp.

References ModelAccuracyChecker::AddImageResult(), BOOST_AUTO_TEST_SUITE_END(), BOOST_CHECK(), and ModelAccuracyChecker::GetAccuracy().

{
    ModelAccuracyChecker checker(GetValidationLabelSet(), GetModelOutputLabels());

    // Add image 1 and check accuracy
    std::vector<float> inferenceOutputVector1 = {0.05f, 0.10f, 0.70f, 0.15f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f};
    TContainer inference1Container(inferenceOutputVector1);
    std::vector<TContainer> outputTensor1;
    outputTensor1.push_back(inference1Container);

    std::string imageName = "val_01.JPEG";
    checker.AddImageResult<TContainer>(imageName, outputTensor1);

    // Top 1 Accuracy
    float totalAccuracy = checker.GetAccuracy(1);
    BOOST_CHECK(totalAccuracy == 100.0f);

    // Add image 2 and check accuracy
    std::vector<float> inferenceOutputVector2 = {0.10f, 0.0f, 0.0f, 0.0f, 0.05f, 0.70f, 0.0f, 0.0f, 0.0f, 0.15f};
    TContainer inference2Container(inferenceOutputVector2);
    std::vector<TContainer> outputTensor2;
    outputTensor2.push_back(inference2Container);

    imageName = "val_02.JPEG";
    checker.AddImageResult<TContainer>(imageName, outputTensor2);

    // Top 1 Accuracy
    totalAccuracy = checker.GetAccuracy(1);
    BOOST_CHECK(totalAccuracy == 50.0f);

    // Top 2 Accuracy
    totalAccuracy = checker.GetAccuracy(2);
    BOOST_CHECK(totalAccuracy == 100.0f);

    // Add image 3 and check accuracy
    std::vector<float> inferenceOutputVector3 = {0.0f, 0.10f, 0.0f, 0.0f, 0.05f, 0.70f, 0.0f, 0.0f, 0.0f, 0.15f};
    TContainer inference3Container(inferenceOutputVector3);
    std::vector<TContainer> outputTensor3;
    outputTensor3.push_back(inference3Container);

    imageName = "val_03.JPEG";
    checker.AddImageResult<TContainer>(imageName, outputTensor3);

    // Top 1 Accuracy
    totalAccuracy = checker.GetAccuracy(1);
    BOOST_CHECK(totalAccuracy == 33.3333321f);

    // Top 2 Accuracy
    totalAccuracy = checker.GetAccuracy(2);
    BOOST_CHECK(totalAccuracy == 66.6666641f);

    // Top 3 Accuracy
    totalAccuracy = checker.GetAccuracy(3);
    BOOST_CHECK(totalAccuracy == 100.0f);
}