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// Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include <gtest/gtest.h>
#include <fstream>
#include <vector>
static constexpr size_t kMaxVectorOutput = 128;
class ImageBuffer {
public:
static constexpr size_t Align = 4;
void Allocate(size_t width, size_t height, size_t bytes_per_pixel) {
width_ = width;
height_ = height;
bytes_per_pixel_ = bytes_per_pixel;
stride_ = AlignBytes(width * bytes_per_pixel);
data_.resize(stride_ * height);
}
uint8_t* operator()(size_t x, size_t y) {
assert(x < width_ && y < height_);
return &data_[y * Stride() + x * bytes_per_pixel_];
}
size_t Stride() const { return stride_; }
size_t BytesPerPixel() const { return bytes_per_pixel_; }
std::vector<uint8_t>& Data() { return data_; }
const std::vector<uint8_t>& Data() const { return data_; }
size_t DataSize() const { return data_.size(); }
private:
size_t AlignBytes(size_t bytes) const {
return (bytes + (Align - 1)) / Align * Align;
}
size_t width_ = 0;
size_t height_ = 0;
size_t stride_ = 0;
size_t bytes_per_pixel_ = 0;
std::vector<uint8_t> data_;
};
namespace std {
static void PrintTo(const vector<uint8_t>& vec, ostream* os) {
ios::fmtflags origFlags(os->flags());
*os << '{';
size_t count = 0;
for (vector<uint8_t>::const_iterator it = vec.begin(); it != vec.end();
++it, ++count) {
if (count > 0) {
*os << ", ";
}
if (count == kMaxVectorOutput) {
*os << "... ";
break;
}
if ((count % 16) == 0) {
*os << "\n";
}
if (*it == 0) {
*os << " ";
} else {
*os << "0x" << std::hex << std::uppercase << std::setw(2)
<< std::setfill('0') << int(*it) << std::dec;
}
}
*os << '}';
os->flags(origFlags);
}
} // namespace std
static std::string LoadFile(const std::string& path) {
std::ifstream is(path, std::ios::binary);
EXPECT_TRUE(is) << "Failed to load file " << path;
if (!is) {
return "";
}
std::ostringstream ss;
ss << is.rdbuf();
return ss.str();
}
static std::string LoadASTCFile(const std::string& basename) {
const std::string filename =
std::string("src/decoder/testdata/") + basename + ".astc";
std::string result = LoadFile(filename);
// Don't parse the header here, we already know what kind of astc encoding it
// is.
if (result.size() < 16) {
return "";
} else {
return result.substr(16);
}
}
void LoadGoldenBmp(const std::string& path, ImageBuffer* result) {
constexpr size_t kBmpHeaderSize = 54;
SCOPED_TRACE(testing::Message() << "LoadGoldenBmp " << path);
const std::string data = LoadFile(path);
ASSERT_FALSE(data.empty()) << "Failed to open golden image: " << path;
ASSERT_GE(data.size(), kBmpHeaderSize);
ASSERT_EQ('B', data[0]);
ASSERT_EQ('M', data[1]);
uint32_t dataPos = *reinterpret_cast<const uint32_t*>(&data[0x0A]);
uint32_t imageSize = *reinterpret_cast<const uint32_t*>(&data[0x22]);
const uint16_t bitsPerPixel = *reinterpret_cast<const uint16_t*>(&data[0x1C]);
int width = *reinterpret_cast<const int*>(&data[0x12]);
int height = *reinterpret_cast<const int*>(&data[0x16]);
SCOPED_TRACE(testing::Message()
<< "dataPos=" << dataPos << ", imageSize=" << imageSize
<< ", bitsPerPixel=" << bitsPerPixel << ", width=" << width
<< ", height=" << height);
if (height < 0) {
height = -height;
}
if (imageSize == 0) {
imageSize = width * height * 3;
}
if (dataPos < kBmpHeaderSize) {
dataPos = kBmpHeaderSize;
}
ASSERT_TRUE(bitsPerPixel == 24 || bitsPerPixel == 32)
<< "BMP bits per pixel mismatch, expected 24 or 32";
result->Allocate(width, height, bitsPerPixel == 24 ? 3 : 4);
ASSERT_LE(imageSize, result->DataSize());
std::vector<uint8_t>& resultData = result->Data();
const size_t stride = result->Stride();
// Copy the data row-by-row to make sure that stride is right.
for (size_t row = 0; row < static_cast<size_t>(height); ++row) {
memcpy(&resultData[row * stride], &data[dataPos + row * stride],
width * bitsPerPixel / 8);
}
if (bitsPerPixel == 32) {
// Swizzle the data from ABGR to ARGB.
for (size_t row = 0; row < static_cast<size_t>(height); ++row) {
uint8_t* rowData = resultData.data() + row * stride;
for (size_t i = 3; i < stride; i += 4) {
const uint8_t b = rowData[i - 3];
rowData[i - 3] = rowData[i - 1];
rowData[i - 1] = b;
}
}
} else {
// Swizzle the data from BGR to RGB.
for (size_t row = 0; row < static_cast<size_t>(height); ++row) {
uint8_t* rowData = resultData.data() + row * stride;
for (size_t i = 2; i < stride; i += 3) {
const uint8_t tmp = rowData[i - 2];
rowData[i - 2] = rowData[i];
rowData[i] = tmp;
}
}
}
}
static void CompareSumOfSquaredDifferences(const ImageBuffer& golden,
const ImageBuffer& image,
double threshold) {
ASSERT_EQ(golden.DataSize(), image.DataSize());
ASSERT_EQ(golden.Stride(), image.Stride());
ASSERT_EQ(golden.BytesPerPixel(), image.BytesPerPixel());
const std::vector<uint8_t>& image_data = image.Data();
const std::vector<uint8_t>& golden_data = golden.Data();
double sum = 0.0;
for (size_t i = 0; i < image_data.size(); ++i) {
const double diff = static_cast<double>(image_data[i]) - golden_data[i];
sum += diff * diff;
}
EXPECT_LE(sum, threshold * image_data.size())
<< "Per pixel " << (sum / image_data.size())
<< ", expected <= " << threshold;
if (sum > threshold * image_data.size()) {
// Fall back to comparison which will dump first chunk of vector.
EXPECT_EQ(golden_data, image_data);
}
}
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