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// Copyright 2019 The Amber Authors.
//
// 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
//
// http://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 <iostream>
#include <vector>
#include "src/buffer.h"
#include "src/format.h"
#include "src/type_parser.h"
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wweak-vtables"
#include "third_party/lodepng/lodepng.h"
#pragma clang diagnostic pop
namespace {
enum class CompareAlgorithm { kRMSE = 0, kHISTOGRAM_EMD = 1 };
struct Options {
std::vector<std::string> input_filenames;
bool show_help = false;
float tolerance = 1.0f;
CompareAlgorithm compare_algorithm = CompareAlgorithm::kRMSE;
};
const char kUsage[] = R"(Usage: image_diff [options] image1.png image2.png
options:
--rmse -- Compare using RMSE algorithm (default).
--histogram_emd -- Compare using histogram EMD algorithm.
-t | --tolerance <float> -- Tolerance value for comparison.
-h | --help -- This help text.
)";
bool ParseArgs(const std::vector<std::string>& args, Options* opts) {
for (size_t i = 1; i < args.size(); ++i) {
const std::string& arg = args[i];
if (arg == "-h" || arg == "--help") {
opts->show_help = true;
return true;
} else if (arg == "--rmse") {
opts->compare_algorithm = CompareAlgorithm::kRMSE;
} else if (arg == "--histogram_emd") {
opts->compare_algorithm = CompareAlgorithm::kHISTOGRAM_EMD;
} else if (arg == "-t" || arg == "--tolerance") {
++i;
if (i >= args.size()) {
std::cerr << "Missing value for " << args[i - 1] << " argument."
<< std::endl;
return false;
}
opts->tolerance = std::stof(std::string(args[i]));
if (opts->tolerance < 0) {
std::cerr << "Tolerance must be non-negative." << std::endl;
return false;
}
} else if (!arg.empty()) {
opts->input_filenames.push_back(arg);
}
}
return true;
}
amber::Result LoadPngToBuffer(const std::string& filename,
amber::Buffer* buffer) {
std::vector<unsigned char> image;
uint32_t width;
uint32_t height;
uint32_t error = lodepng::decode(image, width, height, filename.c_str());
if (error) {
std::string result = "PNG decode error: ";
result += lodepng_error_text(error);
return amber::Result(result);
}
std::vector<amber::Value> values;
values.resize(image.size());
for (size_t i = 0; i < image.size(); ++i) {
values[i].SetIntValue(image[i]);
}
buffer->SetData(values);
return {};
}
} // namespace
int main(int argc, const char** argv) {
std::vector<std::string> args(argv, argv + argc);
Options options;
if (!ParseArgs(args, &options)) {
return 1;
}
if (options.show_help) {
std::cout << kUsage << std::endl;
return 0;
}
if (options.input_filenames.size() != 2) {
std::cerr << "Two input file names are required." << std::endl;
return 1;
}
amber::TypeParser parser;
auto type = parser.Parse("R8G8B8A8_UNORM");
amber::Format fmt(type.get());
amber::Buffer buffers[2];
for (size_t i = 0; i < 2; ++i) {
buffers[i].SetFormat(&fmt);
amber::Result res =
LoadPngToBuffer(options.input_filenames[i], &buffers[i]);
if (!res.IsSuccess()) {
std::cerr << "Error loading " << options.input_filenames[i] << ": "
<< res.Error() << std::endl;
return 1;
}
}
amber::Result res;
if (options.compare_algorithm == CompareAlgorithm::kRMSE)
res = buffers[0].CompareRMSE(&buffers[1], options.tolerance);
else if (options.compare_algorithm == CompareAlgorithm::kHISTOGRAM_EMD)
res = buffers[0].CompareHistogramEMD(&buffers[1], options.tolerance);
if (res.IsSuccess())
std::cout << "Images similar" << std::endl;
else
std::cout << "Images differ: " << res.Error() << std::endl;
return !res.IsSuccess();
}
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