|  | /* | 
|  | *  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 <stdio.h> | 
|  | #include <numeric> | 
|  | #include <vector> | 
|  |  | 
|  | #include "api/video/video_frame_buffer.h" | 
|  | #include "rtc_tools/frame_analyzer/reference_less_video_analysis_lib.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; | 
|  | } |