blob: 29950f9a8b2ee9ad2f4fa8e22db9ea1a6629ecae [file] [log] [blame]
/*
* Copyright (C) 2023 The Android Open Source Project
*
* 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.
*/
//#define LOG_NDEBUG 0
#define LOG_TAG "NativeVideoQualityUtils"
#include <jni.h>
#include <log/log.h>
#include <Eigen/Dense>
#include <Eigen/QR>
#include <string>
#include <vector>
// Migrate this method to std::format when C++20 becomes available
template <typename... Args>
std::string StringFormat(const std::string& format, Args... args) {
auto size = std::snprintf(nullptr, 0, format.c_str(), args...);
if (size < 0) return {};
std::vector<char> buffer(size + 1); // Add 1 for terminating null byte
std::snprintf(buffer.data(), buffer.size(), format.c_str(), args...);
return std::string(buffer.data(), size); // Exclude the terminating null byte
}
double polyEval(std::vector<double>& coeffs, double x) {
double y = coeffs[0];
double xn = x;
for (int i = 1; i < coeffs.size(); i++) {
y += (coeffs[i] * xn);
xn *= x;
}
return y;
}
std::vector<double> polyIntegrate(std::vector<double>& coeffs, double coi = 0.0) {
std::vector<double> integratedCoeffs(coeffs.size() + 1);
integratedCoeffs[0] = coi; // constant of integration
for (int i = 1; i < coeffs.size() + 1; i++) {
integratedCoeffs[i] = coeffs[i - 1] / i;
}
return integratedCoeffs;
}
std::vector<double> polyFit(std::vector<double>& rates, std::vector<double>& qualities, int order) {
// y = X * a, y is vector of qualities, X is vandermonde matrix and a is vector of coeffs.
Eigen::MatrixXd X(rates.size(), order + 1);
Eigen::MatrixXd y(qualities.size(), 1);
for (int i = 0; i < rates.size(); ++i) {
y(i, 0) = qualities[i];
double element = 1;
for (int j = 0; j < order + 1; ++j) {
X(i, j) = element;
element *= rates[i];
}
}
// QR decomposition
Eigen::MatrixXd a = X.colPivHouseholderQr().solve(y);
std::vector<double> coeffs(order + 1);
for (int i = 0; i < order + 1; i++) {
coeffs[i] = a(i, 0);
}
return coeffs;
}
double getAvgImprovement(std::vector<double>& xA, std::vector<double>& yA, std::vector<double>& xB,
std::vector<double>& yB, int order) {
std::vector<double> coeffsA = polyFit(xA, yA, order);
std::vector<double> coeffsB = polyFit(xB, yB, order);
std::vector<double> integratedCoeffsA = polyIntegrate(coeffsA);
std::vector<double> integratedCoeffsB = polyIntegrate(coeffsB);
double minX = std::max(*std::min_element(xA.begin(), xA.end()),
*std::min_element(xB.begin(), xB.end()));
double maxX = std::min(*std::max_element(xA.begin(), xA.end()),
*std::max_element(xB.begin(), xB.end()));
double areaA = polyEval(integratedCoeffsA, maxX) - polyEval(integratedCoeffsA, minX);
double areaB = polyEval(integratedCoeffsB, maxX) - polyEval(integratedCoeffsB, minX);
return (areaB - areaA) / (maxX - minX);
}
static jdouble nativeGetBDRate(JNIEnv* env, jobject, jdoubleArray jQualityA, jdoubleArray jRatesA,
jdoubleArray jQualityB, jdoubleArray jRatesB, jboolean selBdSnr,
jobject jRetMsg) {
jsize len[4]{env->GetArrayLength(jQualityA), env->GetArrayLength(jRatesA),
env->GetArrayLength(jQualityB), env->GetArrayLength(jRatesB)};
std::string msg;
if (len[0] != len[1] || len[0] != len[2] || len[0] != len[3]) {
msg = StringFormat("array length of quality and bit rates for set A/B are not same, "
"lengths are %d %d %d %d \n",
(int)len[0], (int)len[1], (int)len[2], (int)len[3]);
} else if (len[0] < 4) {
msg = StringFormat("too few data-points present for bd rate analysis, count %d \n", len[0]);
} else {
std::vector<double> ratesA(len[0]);
env->GetDoubleArrayRegion(jRatesA, 0, len[0], &ratesA[0]);
std::vector<double> ratesB(len[0]);
env->GetDoubleArrayRegion(jRatesB, 0, len[0], &ratesB[0]);
std::vector<double> qualitiesA(len[0]);
env->GetDoubleArrayRegion(jQualityA, 0, len[0], &qualitiesA[0]);
std::vector<double> qualitiesB(len[0]);
env->GetDoubleArrayRegion(jQualityB, 0, len[0], &qualitiesB[0]);
// log rate
for (int i = 0; i < len[0]; i++) {
ratesA[i] = std::log(ratesA[i]);
ratesB[i] = std::log(ratesB[i]);
}
const int order = 3;
if (selBdSnr) {
return getAvgImprovement(ratesA, qualitiesA, ratesB, qualitiesB, order);
} else {
double bdRate = getAvgImprovement(qualitiesA, ratesA, qualitiesB, ratesB, order);
// In really bad formed data the exponent can grow too large clamp it.
if (bdRate > 200) {
bdRate = 200;
}
bdRate = (std::exp(bdRate) - 1) * 100;
return bdRate;
}
}
jclass clazz = env->GetObjectClass(jRetMsg);
jmethodID mId =
env->GetMethodID(clazz, "append", "(Ljava/lang/String;)Ljava/lang/StringBuilder;");
env->CallObjectMethod(jRetMsg, mId, env->NewStringUTF(msg.c_str()));
return 0;
}
int registerAndroidVideoCodecCtsVQUtils(JNIEnv* env) {
const JNINativeMethod methodTable[] = {
{"nativeGetBDRate", "([D[D[D[DZLjava/lang/StringBuilder;)D", (void*)nativeGetBDRate},
};
jclass c = env->FindClass("android/videocodec/cts/VideoEncoderQualityRegressionTestBase");
return env->RegisterNatives(c, methodTable, sizeof(methodTable) / sizeof(JNINativeMethod));
}
extern "C" JNIEXPORT jint JNI_OnLoad(JavaVM* vm, void*) {
JNIEnv* env;
if (vm->GetEnv(reinterpret_cast<void**>(&env), JNI_VERSION_1_6) != JNI_OK) return JNI_ERR;
if (registerAndroidVideoCodecCtsVQUtils(env) != JNI_OK) return JNI_ERR;
return JNI_VERSION_1_6;
}