| /* | |
| * 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 <cstddef> | |
| #include <cstdio> | |
| #include <numeric> | |
| #include <string> | |
| #include <vector> | |
| #include "api/scoped_refptr.h" | |
| #include "api/video/video_frame_buffer.h" | |
| #include "rtc_tools/frame_analyzer/video_quality_analysis.h" | |
| #include "rtc_tools/video_file_reader.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 webrtc::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 webrtc::scoped_refptr<webrtc::I420BufferInterface> current_frame = | |
| video->GetFrame(i); | |
| const webrtc::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; | |
| webrtc::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; | |
| } |