/* * Copyright (c) 2012 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. */ #ifndef RTC_TOOLS_FRAME_ANALYZER_VIDEO_QUALITY_ANALYSIS_H_ #define RTC_TOOLS_FRAME_ANALYZER_VIDEO_QUALITY_ANALYSIS_H_ #include #include #include #include "libyuv/compare.h" // NOLINT #include "libyuv/convert.h" // NOLINT namespace webrtc { namespace test { struct AnalysisResult { AnalysisResult() {} AnalysisResult(int frame_number, double psnr_value, double ssim_value) : frame_number(frame_number), psnr_value(psnr_value), ssim_value(ssim_value) {} int frame_number; double psnr_value; double ssim_value; }; struct ResultsContainer { ResultsContainer(); ~ResultsContainer(); std::vector frames; }; enum VideoAnalysisMetricsType {kPSNR, kSSIM}; // A function to run the PSNR and SSIM analysis on the test file. The test file // comprises the frames that were captured during the quality measurement test. // There may be missing or duplicate frames. Also the frames start at a random // position in the original video. We should provide a statistics file along // with the test video. The stats file contains the connection between the // actual frames in the test file and their bar code number. There is one file // for the reference video and one for the test video. The stats file should // be in the form 'frame_xxxx yyyy', where xxxx is the consecutive // number of the frame in the test video, and yyyy is the barcode number. // The stats file could be produced by // tools/barcode_tools/barcode_decoder.py. This script decodes the barcodes // integrated in every video and generates the stats file. If three was some // problem with the decoding there would be 'Barcode error' instead of yyyy. // The stat files are used to compare the right frames with each other and // to calculate statistics. void RunAnalysis(const char* reference_file_name, const char* test_file_name, const char* stats_file_reference_name, const char* stats_file_test_name, int width, int height, ResultsContainer* results); // Compute PSNR or SSIM for an I420 frame (all planes). When we are calculating // PSNR values, the max return value (in the case where the test and reference // frames are exactly the same) will be 48. In the case of SSIM the max return // value will be 1. double CalculateMetrics(VideoAnalysisMetricsType video_metrics_type, const uint8_t* ref_frame, const uint8_t* test_frame, int width, int height); // Prints the result from the analysis in Chromium performance // numbers compatible format to stdout. If the results object contains no frames // no output will be written. void PrintAnalysisResults(const std::string& label, ResultsContainer* results); // Similar to the above, but will print to the specified file handle. void PrintAnalysisResults(FILE* output, const std::string& label, ResultsContainer* results); // The barcode number that means that the barcode could not be decoded. const int DECODE_ERROR = -1; // Clusters the frames in the file. First in the pair is the frame number and // second is the number of frames in that cluster. So if first frame in video // has number 100 and it is repeated 3 after each other, then the first entry // in the returned vector has first set to 100 and second set to 3. // Decode errors between two frames with same barcode, then it interprets // the frame with the decode error as having the same id as the two frames // around it. Eg. [400, DECODE_ERROR, DECODE_ERROR, 400] is becomes an entry // in return vector with first==400 and second==4. In other cases with decode // errors like [400, DECODE_ERROR, 401] becomes three entries, each with // second==1 and the middle has first==DECODE_ERROR. std::vector > CalculateFrameClusters( FILE* file, int* num_decode_errors); // Calculates max repeated and skipped frames and prints them to stdout in a // format that is compatible with Chromium performance numbers. void PrintMaxRepeatedAndSkippedFrames(const std::string& label, const std::string& stats_file_ref_name, const std::string& stats_file_test_name); // Similar to the above, but will print to the specified file handle. void PrintMaxRepeatedAndSkippedFrames(FILE* output, const std::string& label, const std::string& stats_file_ref_name, const std::string& stats_file_test_name); // Gets the next line from an open stats file. bool GetNextStatsLine(FILE* stats_file, char* line); // Calculates the size of a I420 frame if given the width and height. int GetI420FrameSize(int width, int height); // Extract the sequence of the frame in the video. I.e. if line is // frame_0023 0284, we will get 23. int ExtractFrameSequenceNumber(std::string line); // Checks if there is 'Barcode error' for the given line. bool IsThereBarcodeError(std::string line); // Extract the frame number in the reference video. I.e. if line is // frame_0023 0284, we will get 284. int ExtractDecodedFrameNumber(std::string line); // Extracts an I420 frame at position frame_number from the raw YUV file. bool ExtractFrameFromYuvFile(const char* i420_file_name, int width, int height, int frame_number, uint8_t* result_frame); // Extracts an I420 frame at position frame_number from the Y4M file. The first // frame has corresponded |frame_number| 0. bool ExtractFrameFromY4mFile(const char* i420_file_name, int width, int height, int frame_number, uint8_t* result_frame); } // namespace test } // namespace webrtc #endif // RTC_TOOLS_FRAME_ANALYZER_VIDEO_QUALITY_ANALYSIS_H_