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author | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
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committer | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
commit | c577f2c6a3b4ddb6ba87a882723c53a248afbeba (patch) | |
tree | bd7d4c148df27f8be6649d313efb24f536b7cf34 /tests/CaffePreprocessor.hpp | |
parent | 4c7098bfeab1ffe1cdc77f6c15548d3e73274746 (diff) | |
download | armnn-c577f2c6a3b4ddb6ba87a882723c53a248afbeba.tar.gz |
Release 18.08
Diffstat (limited to 'tests/CaffePreprocessor.hpp')
-rw-r--r-- | tests/CaffePreprocessor.hpp | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/tests/CaffePreprocessor.hpp b/tests/CaffePreprocessor.hpp new file mode 100644 index 0000000000..90eebf97b7 --- /dev/null +++ b/tests/CaffePreprocessor.hpp @@ -0,0 +1,40 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// +#pragma once + +#include "ClassifierTestCaseData.hpp" + +#include <array> +#include <string> +#include <vector> +#include <memory> + +/// Caffe requires BGR images, not normalized, mean adjusted and resized using smooth resize of STB library + +using ImageSet = std::pair<const std::string, unsigned int>; + +class CaffePreprocessor +{ +public: + using DataType = float; + using TTestCaseData = ClassifierTestCaseData<DataType>; + + explicit CaffePreprocessor(const std::string& binaryFileDirectory, + unsigned int width = 227, + unsigned int height = 227, + const std::vector<ImageSet>& imageSet = std::vector<ImageSet>()); + std::unique_ptr<TTestCaseData> GetTestCaseData(unsigned int testCaseId); + +private: + unsigned int GetNumImageElements() const { return 3 * m_Width * m_Height; } + unsigned int GetNumImageBytes() const { return 4 * GetNumImageElements(); } + + std::string m_BinaryDirectory; + unsigned int m_Height; + unsigned int m_Width; + // Mean value of the database [B, G, R]. + const std::array<float, 3> m_MeanBgr = {{104.007965f, 116.669472f, 122.675102f}}; + const std::vector<ImageSet> m_ImageSet; +}; |