From fda461824f18f0c7429abc899caea39937af88bc Mon Sep 17 00:00:00 2001
From: Giorgio Arena <giorgio.arena@arm.com>
Date: Fri, 16 Jun 2017 13:57:33 +0100
Subject: COMPMID-378 IntegralImage testing completed.

Change-Id: I848713c8aa4382b01111af714a207f92eefcdb44
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/77878
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Steven Niu <steven.niu@arm.com>
---
 tests/TensorLibrary.cpp | 37 ++++++++++++-------------------------
 tests/TensorLibrary.h   |  6 ++++++
 2 files changed, 18 insertions(+), 25 deletions(-)

diff --git a/tests/TensorLibrary.cpp b/tests/TensorLibrary.cpp
index 0c85136a38..21bb4ecd73 100644
--- a/tests/TensorLibrary.cpp
+++ b/tests/TensorLibrary.cpp
@@ -46,33 +46,14 @@ namespace test
 {
 namespace
 {
-void convert_rgb_to_u8(const RawTensor &src, RawTensor &dst)
+template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type = 0>
+void rgb_to_luminance(const RawTensor &src, RawTensor &dst)
 {
     const size_t min_size = std::min(src.size(), dst.size());
 
     for(size_t i = 0, j = 0; i < min_size; i += 3, ++j)
     {
-        dst.data()[j] = 0.2126f * src.data()[i + 0] + 0.7152f * src.data()[i + 1] + 0.0722f * src.data()[i + 2];
-    }
-}
-
-void convert_rgb_to_u16(const RawTensor &src, RawTensor &dst)
-{
-    const size_t min_size = std::min(src.size(), dst.size());
-
-    for(size_t i = 0, j = 0; i < min_size; i += 3, ++j)
-    {
-        reinterpret_cast<uint16_t *>(dst.data())[j] = 0.2126f * src.data()[i + 0] + 0.7152f * src.data()[i + 1] + 0.0722f * src.data()[i + 2];
-    }
-}
-
-void convert_rgb_to_s16(const RawTensor &src, RawTensor &dst)
-{
-    const size_t min_size = std::min(src.size(), dst.size());
-
-    for(size_t i = 0, j = 0; i < min_size; i += 3, ++j)
-    {
-        reinterpret_cast<int16_t *>(dst.data())[j] = 0.2126f * src.data()[i + 0] + 0.7152f * src.data()[i + 1] + 0.0722f * src.data()[i + 2];
+        reinterpret_cast<T *>(dst.data())[j] = 0.2126f * src.data()[i + 0] + 0.7152f * src.data()[i + 1] + 0.0722f * src.data()[i + 2];
     }
 }
 
@@ -261,9 +242,10 @@ const TensorLibrary::Converter &TensorLibrary::get_converter(Format src, Format
 {
     static std::map<std::pair<Format, Format>, Converter> converters =
     {
-        { std::make_pair(Format::RGB888, Format::U8), convert_rgb_to_u8 },
-        { std::make_pair(Format::RGB888, Format::U16), convert_rgb_to_u16 },
-        { std::make_pair(Format::RGB888, Format::S16), convert_rgb_to_s16 }
+        { std::make_pair(Format::RGB888, Format::U8), rgb_to_luminance<uint8_t> },
+        { std::make_pair(Format::RGB888, Format::U16), rgb_to_luminance<uint16_t> },
+        { std::make_pair(Format::RGB888, Format::S16), rgb_to_luminance<int16_t> },
+        { std::make_pair(Format::RGB888, Format::U32), rgb_to_luminance<uint32_t> }
     };
 
     const auto it = converters.find(std::make_pair(src, dst));
@@ -413,6 +395,11 @@ const RawTensor &TensorLibrary::find_or_create_raw_tensor(const std::string &nam
     return _cache.add(std::make_tuple(name, format, channel), std::move(dst));
 }
 
+TensorShape TensorLibrary::get_image_shape(const std::string &name)
+{
+    return load_image(name).shape();
+}
+
 RawTensor TensorLibrary::get(const TensorShape &shape, DataType data_type, int num_channels, int fixed_point_position)
 {
     return RawTensor(shape, data_type, num_channels, fixed_point_position);
diff --git a/tests/TensorLibrary.h b/tests/TensorLibrary.h
index b3974836ae..bdf91c6eda 100644
--- a/tests/TensorLibrary.h
+++ b/tests/TensorLibrary.h
@@ -73,6 +73,12 @@ public:
     /** Seed that is used to fill tensors with random values. */
     std::random_device::result_type seed() const;
 
+    /** Provides a tensor shape for the specified image.
+     *
+     * @param[in] name Image file used to look up the raw tensor.
+     */
+    TensorShape get_image_shape(const std::string &name);
+
     /** Creates an uninitialised raw tensor with the given @p shape, @p
      * data_type and @p num_channels.
      *
-- 
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