BmpPP/Test/Read.cpp
2022-03-06 12:08:26 +01:00

132 lines
3.9 KiB
C++

#include <Bmp.h>
#include "Catch2.h"
#include <tuple>
#include <Eule/Math.h>
using namespace Leonetienne::BmpPP;
using namespace Eule;
#define IMSIZE Vector2i(800, 600)
namespace {
inline std::tuple<std::uint8_t, std::uint8_t, std::uint8_t, std::uint8_t>
ColorGradient(const Vector2i& pos)
{
std::uint8_t r, g, b, a;
// This assumes IMSIZE.x >= IMSIZE.y
r = ((float)pos.x / (float)IMSIZE.x) * 255.0f;
g = (1.0f - (float)pos.x / (float)IMSIZE.x) * 255.0f;
b = (1.0f - (float)pos.y / (float)IMSIZE.x) * 255.0f;
a = Math::Clamp(((float)pos.y / (float)IMSIZE.x) * 2 * 255.0f, 0.0, 255.0);
return std::make_tuple(r, g, b, a);
}
}
// Tests that reading an image works at all, without throwing an exception or crashing the program
TEST_CASE(__FILE__"/ReadingDoesntCrash", "[Read]")
{
SECTION("RGB image with BITMAPV5HEADER") {
// Read RGB gradient image
BMP bmp("base_gradient.bmp");
}
SECTION("RGBA image with BITMAPV5HEADER") {
// Read RGBA gradient image
BMP bmp("basea_gradient.bmp");
}
return;
}
// Tests that an image is initialized after being read
TEST_CASE(__FILE__"/InitializedAfterReading", "[Read]")
{
// Read RGB gradient image
BMP bmp("base_gradient.bmp");
REQUIRE(bmp.IsInitialized());
return;
}
// Tests that images read the correct metadata (bit depth and resolution)
TEST_CASE(__FILE__"/MetadataIsCorrect", "[Read]")
{
// Read RGB gradient image
SECTION("RGB image with BITMAPV5HEADER") {
// Read RGB gradient image
BMP bmp("base_gradient.bmp");
REQUIRE(bmp.GetDimensions() == IMSIZE);
REQUIRE(bmp.GetColormode() == Colormode::RGB);
}
SECTION("RGBA image with BITMAPV5HEADER") {
// Read RGBA gradient image
BMP bmp("basea_gradient.bmp");
REQUIRE(bmp.GetDimensions() == IMSIZE);
REQUIRE(bmp.GetColormode() == Colormode::RGBA);
}
return;
}
// Tests that reading an image works, by comparing the resulting pixel
// values with the algorithm that created them
TEST_CASE(__FILE__"/CompareRGB", "[Read]")
{
// Read RGB gradient image
BMP bmp("base_gradient.bmp");
// Compare each pixel to the algorithm that has once created it
for (std::size_t x = 0; x < bmp.GetDimensions().x; x++)
for (std::size_t y = 0; y < bmp.GetDimensions().y; y++) {
const auto expected_pixel_values = ColorGradient(Vector2i(x, y));
const uint8_t* pxBase = bmp.GetPixel(Vector2i(x, y));
const auto actual_pixel_values =
std::make_tuple(
*(pxBase + 0),
*(pxBase + 1),
*(pxBase + 2),
std::get<3>(expected_pixel_values) // Since our image doesn't contain an ALPHA channel, let's copy it from the expected value
);
REQUIRE(actual_pixel_values == expected_pixel_values);
}
return;
}
// Tests that reading an image works, by comparing the resulting pixel
// values with the algorithm that created them
TEST_CASE(__FILE__"/CompareRGBA", "[Read]")
{
// Read RGBA gradient image
BMP bmp("basea_gradient.bmp");
// Compare each pixel to the algorithm that has once created it
for (std::size_t x = 0; x < bmp.GetDimensions().x; x++)
for (std::size_t y = 0; y < bmp.GetDimensions().y; y++) {
const auto expected_pixel_values = ColorGradient(Vector2i(x, y));
const uint8_t* pxBase = bmp.GetPixel(Vector2i(x, y));
const auto actual_pixel_values =
std::make_tuple(
*(pxBase + 0),
*(pxBase + 1),
*(pxBase + 2),
*(pxBase + 3)
);
REQUIRE(actual_pixel_values == expected_pixel_values);
}
return;
}
#undef IMSIZE