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/*
* Copyright (c) 2016 The WebRTC project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include "rtc_tools/frame_analyzer/reference_less_video_analysis_lib.h"
#include <stdio.h>
#include <numeric>
#include <vector>
#include "api/video/video_frame_buffer.h"
#include "rtc_tools/frame_analyzer/video_quality_analysis.h"
#define STATS_LINE_LENGTH 28
#define PSNR_FREEZE_THRESHOLD 47
#define SSIM_FREEZE_THRESHOLD .999
#if defined(_WIN32) || defined(_WIN64)
#define strtok_r strtok_s
#endif
bool frozen_frame(std::vector<double> psnr_per_frame,
std::vector<double> ssim_per_frame,
size_t frame) {
if (psnr_per_frame[frame] >= PSNR_FREEZE_THRESHOLD ||
ssim_per_frame[frame] >= SSIM_FREEZE_THRESHOLD)
return true;
return false;
}
std::vector<int> find_frame_clusters(
const std::vector<double>& psnr_per_frame,
const std::vector<double>& ssim_per_frame) {
std::vector<int> identical_frame_clusters;
int num_frozen = 0;
size_t total_no_of_frames = psnr_per_frame.size();
for (size_t each_frame = 0; each_frame < total_no_of_frames; each_frame++) {
if (frozen_frame(psnr_per_frame, ssim_per_frame, each_frame)) {
num_frozen++;
} else if (num_frozen > 0) {
// Not frozen anymore.
identical_frame_clusters.push_back(num_frozen);
num_frozen = 0;
}
}
return identical_frame_clusters;
}
void print_freezing_metrics(const std::vector<double>& psnr_per_frame,
const std::vector<double>& ssim_per_frame) {
/*
* Prints the different metrics mainly:
* 1) Identical frame number, PSNR and SSIM values.
* 2) Length of continuous frozen frames.
* 3) Max length of continuous freezed frames.
* 4) No of unique frames found.
* 5) Total different identical frames found.
*
* Sample output:
* Printing metrics for file: /src/rtc_tools/test_3.y4m
=============================
Total number of frames received: 74
Total identical frames: 5
Number of unique frames: 69
Printing Identical Frames:
Frame Number: 29 PSNR: 48.000000 SSIM: 0.999618
Frame Number: 30 PSNR: 48.000000 SSIM: 0.999898
Frame Number: 60 PSNR: 48.000000 SSIM: 0.999564
Frame Number: 64 PSNR: 48.000000 SSIM: 0.999651
Frame Number: 69 PSNR: 48.000000 SSIM: 0.999684
Print identical frame which appears in clusters :
2 1 1 1
*
*/
size_t total_no_of_frames = psnr_per_frame.size();
std::vector<int> identical_frame_clusters =
find_frame_clusters(psnr_per_frame, ssim_per_frame);
int total_identical_frames = std::accumulate(
identical_frame_clusters.begin(), identical_frame_clusters.end(), 0);
size_t unique_frames = total_no_of_frames - total_identical_frames;
printf("Total number of frames received: %zu\n", total_no_of_frames);
printf("Total identical frames: %d\n", total_identical_frames);
printf("Number of unique frames: %zu\n", unique_frames);
printf("Printing Identical Frames: \n");
for (size_t frame = 0; frame < total_no_of_frames; frame++) {
if (frozen_frame(psnr_per_frame, ssim_per_frame, frame)) {
printf(" Frame Number: %zu PSNR: %f SSIM: %f \n", frame,
psnr_per_frame[frame], ssim_per_frame[frame]);
}
}
printf("Print identical frame which appears in clusters : \n");
for (int cluster = 0;
cluster < static_cast<int>(identical_frame_clusters.size()); cluster++)
printf("%d ", identical_frame_clusters[cluster]);
printf("\n");
}
void compute_metrics(const rtc::scoped_refptr<webrtc::test::Video>& video,
std::vector<double>* psnr_per_frame,
std::vector<double>* ssim_per_frame) {
for (size_t i = 0; i < video->number_of_frames() - 1; ++i) {
const rtc::scoped_refptr<webrtc::I420BufferInterface> current_frame =
video->GetFrame(i);
const rtc::scoped_refptr<webrtc::I420BufferInterface> next_frame =
video->GetFrame(i + 1);
double result_psnr = webrtc::test::Psnr(current_frame, next_frame);
double result_ssim = webrtc::test::Ssim(current_frame, next_frame);
psnr_per_frame->push_back(result_psnr);
ssim_per_frame->push_back(result_ssim);
}
}
int run_analysis(const std::string& video_file) {
std::vector<double> psnr_per_frame;
std::vector<double> ssim_per_frame;
rtc::scoped_refptr<webrtc::test::Video> video =
webrtc::test::OpenY4mFile(video_file);
if (video) {
compute_metrics(video, &psnr_per_frame, &ssim_per_frame);
} else {
return -1;
}
printf("=============================\n");
printf("Printing metrics for file: %s\n", video_file.c_str());
printf("=============================\n");
print_freezing_metrics(psnr_per_frame, ssim_per_frame);
return 0;
}