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-rwxr-xr-xthird_party/libwebrtc/modules/video_coding/codecs/test/plot_webrtc_test_logs.py438
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diff --git a/third_party/libwebrtc/modules/video_coding/codecs/test/plot_webrtc_test_logs.py b/third_party/libwebrtc/modules/video_coding/codecs/test/plot_webrtc_test_logs.py
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+++ b/third_party/libwebrtc/modules/video_coding/codecs/test/plot_webrtc_test_logs.py
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+# Copyright (c) 2017 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.
+"""Plots statistics from WebRTC integration test logs.
+
+Usage: $ python plot_webrtc_test_logs.py filename.txt
+"""
+
+import numpy
+import sys
+import re
+
+import matplotlib.pyplot as plt
+
+# Log events.
+EVENT_START = 'RUN ] CodecSettings/VideoCodecTestParameterized.'
+EVENT_END = 'OK ] CodecSettings/VideoCodecTestParameterized.'
+
+# Metrics to plot, tuple: (name to parse in file, label to use when plotting).
+WIDTH = ('width', 'width')
+HEIGHT = ('height', 'height')
+FILENAME = ('filename', 'clip')
+CODEC_TYPE = ('codec_type', 'Codec')
+ENCODER_IMPLEMENTATION_NAME = ('enc_impl_name', 'enc name')
+DECODER_IMPLEMENTATION_NAME = ('dec_impl_name', 'dec name')
+CODEC_IMPLEMENTATION_NAME = ('codec_impl_name', 'codec name')
+CORES = ('num_cores', 'CPU cores used')
+DENOISING = ('denoising', 'denoising')
+RESILIENCE = ('resilience', 'resilience')
+ERROR_CONCEALMENT = ('error_concealment', 'error concealment')
+CPU_USAGE = ('cpu_usage_percent', 'CPU usage (%)')
+BITRATE = ('target_bitrate_kbps', 'target bitrate (kbps)')
+FRAMERATE = ('input_framerate_fps', 'fps')
+QP = ('avg_qp', 'QP avg')
+PSNR = ('avg_psnr', 'PSNR (dB)')
+SSIM = ('avg_ssim', 'SSIM')
+ENC_BITRATE = ('bitrate_kbps', 'encoded bitrate (kbps)')
+NUM_FRAMES = ('num_input_frames', 'num frames')
+NUM_DROPPED_FRAMES = ('num_dropped_frames', 'num dropped frames')
+TIME_TO_TARGET = ('time_to_reach_target_bitrate_sec',
+ 'time to reach target rate (sec)')
+ENCODE_SPEED_FPS = ('enc_speed_fps', 'encode speed (fps)')
+DECODE_SPEED_FPS = ('dec_speed_fps', 'decode speed (fps)')
+AVG_KEY_FRAME_SIZE = ('avg_key_frame_size_bytes', 'avg key frame size (bytes)')
+AVG_DELTA_FRAME_SIZE = ('avg_delta_frame_size_bytes',
+ 'avg delta frame size (bytes)')
+
+# Settings.
+SETTINGS = [
+ WIDTH,
+ HEIGHT,
+ FILENAME,
+ NUM_FRAMES,
+]
+
+# Settings, options for x-axis.
+X_SETTINGS = [
+ CORES,
+ FRAMERATE,
+ DENOISING,
+ RESILIENCE,
+ ERROR_CONCEALMENT,
+ BITRATE, # TODO(asapersson): Needs to be last.
+]
+
+# Settings, options for subplots.
+SUBPLOT_SETTINGS = [
+ CODEC_TYPE,
+ ENCODER_IMPLEMENTATION_NAME,
+ DECODER_IMPLEMENTATION_NAME,
+ CODEC_IMPLEMENTATION_NAME,
+] + X_SETTINGS
+
+# Results.
+RESULTS = [
+ PSNR,
+ SSIM,
+ ENC_BITRATE,
+ NUM_DROPPED_FRAMES,
+ TIME_TO_TARGET,
+ ENCODE_SPEED_FPS,
+ DECODE_SPEED_FPS,
+ QP,
+ CPU_USAGE,
+ AVG_KEY_FRAME_SIZE,
+ AVG_DELTA_FRAME_SIZE,
+]
+
+METRICS_TO_PARSE = SETTINGS + SUBPLOT_SETTINGS + RESULTS
+
+Y_METRICS = [res[1] for res in RESULTS]
+
+# Parameters for plotting.
+FIG_SIZE_SCALE_FACTOR_X = 1.6
+FIG_SIZE_SCALE_FACTOR_Y = 1.8
+GRID_COLOR = [0.45, 0.45, 0.45]
+
+
+def ParseSetting(filename, setting):
+ """Parses setting from file.
+
+ Args:
+ filename: The name of the file.
+ setting: Name of setting to parse (e.g. width).
+
+ Returns:
+ A list holding parsed settings, e.g. ['width: 128.0', 'width: 160.0'] """
+
+ settings = []
+
+ settings_file = open(filename)
+ while True:
+ line = settings_file.readline()
+ if not line:
+ break
+ if re.search(r'%s' % EVENT_START, line):
+ # Parse event.
+ parsed = {}
+ while True:
+ line = settings_file.readline()
+ if not line:
+ break
+ if re.search(r'%s' % EVENT_END, line):
+ # Add parsed setting to list.
+ if setting in parsed:
+ s = setting + ': ' + str(parsed[setting])
+ if s not in settings:
+ settings.append(s)
+ break
+
+ TryFindMetric(parsed, line)
+
+ settings_file.close()
+ return settings
+
+
+def ParseMetrics(filename, setting1, setting2):
+ """Parses metrics from file.
+
+ Args:
+ filename: The name of the file.
+ setting1: First setting for sorting metrics (e.g. width).
+ setting2: Second setting for sorting metrics (e.g. CPU cores used).
+
+ Returns:
+ A dictionary holding parsed metrics.
+
+ For example:
+ metrics[key1][key2][measurement]
+
+ metrics = {
+ "width: 352": {
+ "CPU cores used: 1.0": {
+ "encode time (us)": [0.718005, 0.806925, 0.909726, 0.931835, 0.953642],
+ "PSNR (dB)": [25.546029, 29.465518, 34.723535, 36.428493, 38.686551],
+ "bitrate (kbps)": [50, 100, 300, 500, 1000]
+ },
+ "CPU cores used: 2.0": {
+ "encode time (us)": [0.718005, 0.806925, 0.909726, 0.931835, 0.953642],
+ "PSNR (dB)": [25.546029, 29.465518, 34.723535, 36.428493, 38.686551],
+ "bitrate (kbps)": [50, 100, 300, 500, 1000]
+ },
+ },
+ "width: 176": {
+ "CPU cores used: 1.0": {
+ "encode time (us)": [0.857897, 0.91608, 0.959173, 0.971116, 0.980961],
+ "PSNR (dB)": [30.243646, 33.375592, 37.574387, 39.42184, 41.437897],
+ "bitrate (kbps)": [50, 100, 300, 500, 1000]
+ },
+ }
+ } """
+
+ metrics = {}
+
+ # Parse events.
+ settings_file = open(filename)
+ while True:
+ line = settings_file.readline()
+ if not line:
+ break
+ if re.search(r'%s' % EVENT_START, line):
+ # Parse event.
+ parsed = {}
+ while True:
+ line = settings_file.readline()
+ if not line:
+ break
+ if re.search(r'%s' % EVENT_END, line):
+ # Add parsed values to metrics.
+ key1 = setting1 + ': ' + str(parsed[setting1])
+ key2 = setting2 + ': ' + str(parsed[setting2])
+ if key1 not in metrics:
+ metrics[key1] = {}
+ if key2 not in metrics[key1]:
+ metrics[key1][key2] = {}
+
+ for label in parsed:
+ if label not in metrics[key1][key2]:
+ metrics[key1][key2][label] = []
+ metrics[key1][key2][label].append(parsed[label])
+
+ break
+
+ TryFindMetric(parsed, line)
+
+ settings_file.close()
+ return metrics
+
+
+def TryFindMetric(parsed, line):
+ for metric in METRICS_TO_PARSE:
+ name = metric[0]
+ label = metric[1]
+ if re.search(r'%s' % name, line):
+ found, value = GetMetric(name, line)
+ if found:
+ parsed[label] = value
+ return
+
+
+def GetMetric(name, string):
+ # Float (e.g. bitrate = 98.8253).
+ pattern = r'%s\s*[:=]\s*([+-]?\d+\.*\d*)' % name
+ m = re.search(r'%s' % pattern, string)
+ if m is not None:
+ return StringToFloat(m.group(1))
+
+ # Alphanumeric characters (e.g. codec type : VP8).
+ pattern = r'%s\s*[:=]\s*(\w+)' % name
+ m = re.search(r'%s' % pattern, string)
+ if m is not None:
+ return True, m.group(1)
+
+ return False, -1
+
+
+def StringToFloat(value):
+ try:
+ value = float(value)
+ except ValueError:
+ print "Not a float, skipped %s" % value
+ return False, -1
+
+ return True, value
+
+
+def Plot(y_metric, x_metric, metrics):
+ """Plots y_metric vs x_metric per key in metrics.
+
+ For example:
+ y_metric = 'PSNR (dB)'
+ x_metric = 'bitrate (kbps)'
+ metrics = {
+ "CPU cores used: 1.0": {
+ "PSNR (dB)": [25.546029, 29.465518, 34.723535, 36.428493, 38.686551],
+ "bitrate (kbps)": [50, 100, 300, 500, 1000]
+ },
+ "CPU cores used: 2.0": {
+ "PSNR (dB)": [25.546029, 29.465518, 34.723535, 36.428493, 38.686551],
+ "bitrate (kbps)": [50, 100, 300, 500, 1000]
+ },
+ }
+ """
+ for key in sorted(metrics):
+ data = metrics[key]
+ if y_metric not in data:
+ print "Failed to find metric: %s" % y_metric
+ continue
+
+ y = numpy.array(data[y_metric])
+ x = numpy.array(data[x_metric])
+ if len(y) != len(x):
+ print "Length mismatch for %s, %s" % (y, x)
+ continue
+
+ label = y_metric + ' - ' + str(key)
+
+ plt.plot(x,
+ y,
+ label=label,
+ linewidth=1.5,
+ marker='o',
+ markersize=5,
+ markeredgewidth=0.0)
+
+
+def PlotFigure(settings, y_metrics, x_metric, metrics, title):
+ """Plots metrics in y_metrics list. One figure is plotted and each entry
+ in the list is plotted in a subplot (and sorted per settings).
+
+ For example:
+ settings = ['width: 128.0', 'width: 160.0']. Sort subplot per setting.
+ y_metrics = ['PSNR (dB)', 'PSNR (dB)']. Metric to plot per subplot.
+ x_metric = 'bitrate (kbps)'
+
+ """
+
+ plt.figure()
+ plt.suptitle(title, fontsize='large', fontweight='bold')
+ settings.sort()
+ rows = len(settings)
+ cols = 1
+ pos = 1
+ while pos <= rows:
+ plt.rc('grid', color=GRID_COLOR)
+ ax = plt.subplot(rows, cols, pos)
+ plt.grid()
+ plt.setp(ax.get_xticklabels(), visible=(pos == rows), fontsize='large')
+ plt.setp(ax.get_yticklabels(), fontsize='large')
+ setting = settings[pos - 1]
+ Plot(y_metrics[pos - 1], x_metric, metrics[setting])
+ if setting.startswith(WIDTH[1]):
+ plt.title(setting, fontsize='medium')
+ plt.legend(fontsize='large', loc='best')
+ pos += 1
+
+ plt.xlabel(x_metric, fontsize='large')
+ plt.subplots_adjust(left=0.06,
+ right=0.98,
+ bottom=0.05,
+ top=0.94,
+ hspace=0.08)
+
+
+def GetTitle(filename, setting):
+ title = ''
+ if setting != CODEC_IMPLEMENTATION_NAME[1] and setting != CODEC_TYPE[1]:
+ codec_types = ParseSetting(filename, CODEC_TYPE[1])
+ for i in range(0, len(codec_types)):
+ title += codec_types[i] + ', '
+
+ if setting != CORES[1]:
+ cores = ParseSetting(filename, CORES[1])
+ for i in range(0, len(cores)):
+ title += cores[i].split('.')[0] + ', '
+
+ if setting != FRAMERATE[1]:
+ framerate = ParseSetting(filename, FRAMERATE[1])
+ for i in range(0, len(framerate)):
+ title += framerate[i].split('.')[0] + ', '
+
+ if (setting != CODEC_IMPLEMENTATION_NAME[1]
+ and setting != ENCODER_IMPLEMENTATION_NAME[1]):
+ enc_names = ParseSetting(filename, ENCODER_IMPLEMENTATION_NAME[1])
+ for i in range(0, len(enc_names)):
+ title += enc_names[i] + ', '
+
+ if (setting != CODEC_IMPLEMENTATION_NAME[1]
+ and setting != DECODER_IMPLEMENTATION_NAME[1]):
+ dec_names = ParseSetting(filename, DECODER_IMPLEMENTATION_NAME[1])
+ for i in range(0, len(dec_names)):
+ title += dec_names[i] + ', '
+
+ filenames = ParseSetting(filename, FILENAME[1])
+ title += filenames[0].split('_')[0]
+
+ num_frames = ParseSetting(filename, NUM_FRAMES[1])
+ for i in range(0, len(num_frames)):
+ title += ' (' + num_frames[i].split('.')[0] + ')'
+
+ return title
+
+
+def ToString(input_list):
+ return ToStringWithoutMetric(input_list, ('', ''))
+
+
+def ToStringWithoutMetric(input_list, metric):
+ i = 1
+ output_str = ""
+ for m in input_list:
+ if m != metric:
+ output_str = output_str + ("%s. %s\n" % (i, m[1]))
+ i += 1
+ return output_str
+
+
+def GetIdx(text_list):
+ return int(raw_input(text_list)) - 1
+
+
+def main():
+ filename = sys.argv[1]
+
+ # Setup.
+ idx_metric = GetIdx("Choose metric:\n0. All\n%s" % ToString(RESULTS))
+ if idx_metric == -1:
+ # Plot all metrics. One subplot for each metric.
+ # Per subplot: metric vs bitrate (per resolution).
+ cores = ParseSetting(filename, CORES[1])
+ setting1 = CORES[1]
+ setting2 = WIDTH[1]
+ sub_keys = [cores[0]] * len(Y_METRICS)
+ y_metrics = Y_METRICS
+ x_metric = BITRATE[1]
+ else:
+ resolutions = ParseSetting(filename, WIDTH[1])
+ idx = GetIdx("Select metric for x-axis:\n%s" % ToString(X_SETTINGS))
+ if X_SETTINGS[idx] == BITRATE:
+ idx = GetIdx("Plot per:\n%s" %
+ ToStringWithoutMetric(SUBPLOT_SETTINGS, BITRATE))
+ idx_setting = METRICS_TO_PARSE.index(SUBPLOT_SETTINGS[idx])
+ # Plot one metric. One subplot for each resolution.
+ # Per subplot: metric vs bitrate (per setting).
+ setting1 = WIDTH[1]
+ setting2 = METRICS_TO_PARSE[idx_setting][1]
+ sub_keys = resolutions
+ y_metrics = [RESULTS[idx_metric][1]] * len(sub_keys)
+ x_metric = BITRATE[1]
+ else:
+ # Plot one metric. One subplot for each resolution.
+ # Per subplot: metric vs setting (per bitrate).
+ setting1 = WIDTH[1]
+ setting2 = BITRATE[1]
+ sub_keys = resolutions
+ y_metrics = [RESULTS[idx_metric][1]] * len(sub_keys)
+ x_metric = X_SETTINGS[idx][1]
+
+ metrics = ParseMetrics(filename, setting1, setting2)
+
+ # Stretch fig size.
+ figsize = plt.rcParams["figure.figsize"]
+ figsize[0] *= FIG_SIZE_SCALE_FACTOR_X
+ figsize[1] *= FIG_SIZE_SCALE_FACTOR_Y
+ plt.rcParams["figure.figsize"] = figsize
+
+ PlotFigure(sub_keys, y_metrics, x_metric, metrics,
+ GetTitle(filename, setting2))
+
+ plt.show()
+
+
+if __name__ == '__main__':
+ main()