webrtc/tools/matlab/rtpAnalyze.m
Henrik Lundin 76381d921f Update rtpAnalyze matlab tool to handle reordered packets
With this change, the tool will find and mark reordered packets in the
plot. Furthermore, the instantaneous send bitrate will be correct even
for reordered packets.

BUG=webrtc:2692
R=tina.legrand@webrtc.org

Review URL: https://codereview.webrtc.org/1172533004.

Cr-Commit-Position: refs/heads/master@{#9443}
2015-06-16 07:28:17 +00:00

240 lines
7.4 KiB
Matlab

function rtpAnalyze( input_file )
%RTP_ANALYZE Analyze RTP stream(s) from a txt file
% The function takes the output from the command line tool rtp_analyze
% and analyzes the stream(s) therein. First, process your rtpdump file
% through rtp_analyze (from command line):
% $ out/Debug/rtp_analyze my_file.rtp my_file.txt
% Then load it with this function (in Matlab):
% >> rtpAnalyze('my_file.txt')
% Copyright (c) 2015 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.
[SeqNo,TimeStamp,ArrTime,Size,PT,M,SSRC] = importfile(input_file);
%% Find streams.
[uSSRC, ~, uix] = unique(SSRC);
% If there are multiple streams, select one and purge the other
% streams from the data vectors. If there is only one stream, the
% vectors are good to use as they are.
if length(uSSRC) > 1
for i=1:length(uSSRC)
uPT = unique(PT(uix == i));
fprintf('%i: %s (%d packets, pt: %i', i, uSSRC{i}, ...
length(find(uix==i)), uPT(1));
if length(uPT) > 1
fprintf(', %i', uPT(2:end));
end
fprintf(')\n');
end
sel = input('Select stream number: ');
if sel < 1 || sel > length(uSSRC)
error('Out of range');
end
ix = find(uix == sel);
% This is where the data vectors are trimmed.
SeqNo = SeqNo(ix);
TimeStamp = TimeStamp(ix);
ArrTime = ArrTime(ix);
Size = Size(ix);
PT = PT(ix);
M = M(ix);
SSRC = SSRC(ix);
end
%% Unwrap SeqNo and TimeStamp.
SeqNoUW = maxUnwrap(SeqNo, 65535);
TimeStampUW = maxUnwrap(TimeStamp, 4294967295);
%% Generate some stats for the stream.
fprintf('Statistics:\n');
fprintf('SSRC: %s\n', SSRC{1});
uPT = unique(PT);
if length(uPT) > 1
warning('This tool cannot yet handle changes in codec sample rate');
end
fprintf('Payload type(s): %i', uPT(1));
if length(uPT) > 1
fprintf(', %i', uPT(2:end));
end
fprintf('\n');
fprintf('Packets: %i\n', length(SeqNo));
SortSeqNo = sort(SeqNoUW);
fprintf('Missing sequence numbers: %i\n', ...
length(find(diff(SortSeqNo) > 1)));
fprintf('Duplicated packets: %i\n', length(find(diff(SortSeqNo) == 0)));
reorderIx = findReorderedPackets(SeqNoUW);
fprintf('Reordered packets: %i\n', length(reorderIx));
tsdiff = diff(TimeStampUW);
tsdiff = tsdiff(diff(SeqNoUW) == 1);
[utsdiff, ~, ixtsdiff] = unique(tsdiff);
fprintf('Common packet sizes:\n');
for i = 1:length(utsdiff)
fprintf(' %i samples (%i%%)\n', ...
utsdiff(i), ...
round(100 * length(find(ixtsdiff == i))/length(ixtsdiff)));
end
%% Trying to figure out sample rate.
fs_est = (TimeStampUW(end) - TimeStampUW(1)) / (ArrTime(end) - ArrTime(1));
fs_vec = [8, 16, 32, 48];
fs = 0;
for f = fs_vec
if abs((fs_est-f)/f) < 0.05 % 5% margin
fs = f;
break;
end
end
if fs == 0
fprintf('Cannot determine sample rate. I get it to %.2f kHz\n', ...
fs_est);
fs = input('Please, input a sample rate (in kHz): ');
else
fprintf('Sample rate estimated to %i kHz\n', fs);
end
SendTimeMs = (TimeStampUW - TimeStampUW(1)) / fs;
fprintf('Stream duration at sender: %.1f seconds\n', ...
(SendTimeMs(end) - SendTimeMs(1)) / 1000);
fprintf('Stream duration at receiver: %.1f seconds\n', ...
(ArrTime(end) - ArrTime(1)) / 1000);
fprintf('Clock drift: %.2f%%\n', ...
100 * ((ArrTime(end) - ArrTime(1)) / ...
(SendTimeMs(end) - SendTimeMs(1)) - 1));
fprintf('Sent average bitrate: %i kbps\n', ...
round(sum(Size) * 8 / (SendTimeMs(end)-SendTimeMs(1))));
fprintf('Received average bitrate: %i kbps\n', ...
round(sum(Size) * 8 / (ArrTime(end)-ArrTime(1))));
%% Plots.
delay = ArrTime - SendTimeMs;
delay = delay - min(delay);
delayOrdered = delay;
delayOrdered(reorderIx) = nan; % Set reordered packets to NaN.
delayReordered = delay(reorderIx); % Pick the reordered packets.
sendTimeMsReordered = SendTimeMs(reorderIx);
% Sort time arrays in packet send order.
[~, sortix] = sort(SeqNoUW);
SendTimeMs = SendTimeMs(sortix);
Size = Size(sortix);
delayOrdered = delayOrdered(sortix);
figure
plot(SendTimeMs / 1000, delayOrdered, ...
sendTimeMsReordered / 1000, delayReordered, 'r.');
xlabel('Send time [s]');
ylabel('Relative transport delay [ms]');
title(sprintf('SSRC: %s', SSRC{1}));
SendBitrateKbps = 8 * Size(1:end-1) ./ diff(SendTimeMs);
figure
plot(SendTimeMs(1:end-1)/1000, SendBitrateKbps);
xlabel('Send time [s]');
ylabel('Send bitrate [kbps]');
end
%% Subfunctions.
% findReorderedPackets returns the index to all packets that are considered
% old compared with the largest seen sequence number. The input seqNo must
% be unwrapped for this to work.
function reorderIx = findReorderedPackets(seqNo)
largestSeqNo = seqNo(1);
reorderIx = [];
for i = 2:length(seqNo)
if seqNo(i) < largestSeqNo
reorderIx = [reorderIx; i]; %#ok<AGROW>
else
largestSeqNo = seqNo(i);
end
end
end
%% Auto-generated subfunction.
function [SeqNo,TimeStamp,SendTime,Size,PT,M,SSRC] = ...
importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as column vectors.
% [SEQNO,TIMESTAMP,SENDTIME,SIZE,PT,M,SSRC] = IMPORTFILE(FILENAME) Reads
% data from text file FILENAME for the default selection.
%
% [SEQNO,TIMESTAMP,SENDTIME,SIZE,PT,M,SSRC] = IMPORTFILE(FILENAME,
% STARTROW, ENDROW) Reads data from rows STARTROW through ENDROW of text
% file FILENAME.
%
% Example:
% [SeqNo,TimeStamp,SendTime,Size,PT,M,SSRC] =
% importfile('rtpdump_recv.txt',2, 123);
%
% See also TEXTSCAN.
% Auto-generated by MATLAB on 2015/05/28 09:55:50
%% Initialize variables.
if nargin<=2
startRow = 2;
endRow = inf;
end
%% Format string for each line of text:
% column1: double (%f)
% column2: double (%f)
% column3: double (%f)
% column4: double (%f)
% column5: double (%f)
% column6: double (%f)
% column7: text (%s)
% For more information, see the TEXTSCAN documentation.
formatSpec = '%5f%11f%11f%6f%6f%3f%s%[^\n\r]';
%% Open the text file.
fileID = fopen(filename,'r');
%% Read columns of data according to format string.
% This call is based on the structure of the file used to generate this
% code. If an error occurs for a different file, try regenerating the code
% from the Import Tool.
dataArray = textscan(fileID, formatSpec, endRow(1)-startRow(1)+1, ...
'Delimiter', '', 'WhiteSpace', '', 'HeaderLines', startRow(1)-1, ...
'ReturnOnError', false);
for block=2:length(startRow)
frewind(fileID);
dataArrayBlock = textscan(fileID, formatSpec, ...
endRow(block)-startRow(block)+1, 'Delimiter', '', 'WhiteSpace', ...
'', 'HeaderLines', startRow(block)-1, 'ReturnOnError', false);
for col=1:length(dataArray)
dataArray{col} = [dataArray{col};dataArrayBlock{col}];
end
end
%% Close the text file.
fclose(fileID);
%% Post processing for unimportable data.
% No unimportable data rules were applied during the import, so no post
% processing code is included. To generate code which works for
% unimportable data, select unimportable cells in a file and regenerate the
% script.
%% Allocate imported array to column variable names
SeqNo = dataArray{:, 1};
TimeStamp = dataArray{:, 2};
SendTime = dataArray{:, 3};
Size = dataArray{:, 4};
PT = dataArray{:, 5};
M = dataArray{:, 6};
SSRC = dataArray{:, 7};
end