第45讲 perfetto 自动化之camera录像帧率自动化分析|极客笔记-凯发k8手机登录

本讲是android camera性能分析专题的第45讲，我们介perfetto 自动化之camera录像帧率自动化分析。

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camera 录像帧率和抖动

录像除了要关注平均帧率外，每两帧之间的时间间隔，也需要重点关注，这个时间间隔用于衡量抖动

camera 录像帧率自动化分析

python 代码

from perfetto.trace_processor import traceprocessor
from perfetto.trace_processor import traceprocessorconfig
import matplotlib.pyplot as plt
tp = traceprocessor(trace=r'codec2_mediarecorder_getsurface_android12', config=traceprocessorconfig(
    bin_path=r'trace_processor_shell_v3.7.exe',
    verbose=false))
android12_surfaceview_fps_sql = """
select ts/1e6
from counters
where name like '%buffertx - surfaceview%' and value=1
order by counters.ts asc"""
surfaceview_fps_counter = tp.query(android12_surfaceview_fps_sql).as_pandas_dataframe()
if surfaceview_fps_counter.empty:
    pass
else:
    surfaceview_fps_gap = surfaceview_fps_counter.diff().iloc[1:]
    avg_gap_ms = surfaceview_fps_gap['ts/1e6'].mean()
    surfaceview_fps = round(1000 / avg_gap_ms, 2)
    print('fps:'   str(surfaceview_fps))
    print('gap:'   str(surfaceview_fps_gap))
    plt.subplot(211)
    plt.plot(surfaceview_fps_gap.index, surfaceview_fps_gap['ts/1e6'])
    plt.xlabel('index')
    plt.ylabel('gap(ms)')
    plt.title('camera preview - surfaceview frame duration('   str(surfaceview_fps)   " fps)")
    plt.axhline(avg_gap_ms, color='r', linestyle='--', label='average')
    plt.annotate(f'{round(avg_gap_ms,2)}', xy=(0, avg_gap_ms), color='black')
    # plt.show()
android12_codec2_mediaserver_fps_sql = """
select ts/1e6 from
                slice
                join thread_track on slice.track_id = thread_track.id
                join thread using(utid)
                join process using(upid)
                where slice.name='queuebuffer' and process.name='/system/bin/mediaserver'
                order by slice.ts asc
"""
mediaserver_fps_counter = tp.query(android12_codec2_mediaserver_fps_sql).as_pandas_dataframe()
if mediaserver_fps_counter.empty:
    print("no mediaserver fps data.")
else:
    mediaserver_fps_gap = mediaserver_fps_counter.diff().iloc[1:]
    avg_gap_ms = mediaserver_fps_gap['ts/1e6'].mean()
    mediaserver_fps = round(1000 / avg_gap_ms, 2)
    print('fps:'   str(mediaserver_fps))
    print('gap:'   str(mediaserver_fps_gap))
    plt.subplot(212)
    plt.plot(mediaserver_fps_gap.index, mediaserver_fps_gap['ts/1e6'])
    plt.xlabel('index')
    plt.ylabel('gap(ms)')
    plt.title('camera recording - mediaserver frame duration('   str(mediaserver_fps)   " fps)")
    plt.axhline(avg_gap_ms, color='r', linestyle='--', label='average')
    plt.annotate(f'{round(avg_gap_ms, 1)}', xy=(0, 40),color='black')
    plt.show()

输出：

fps:29.99
gap:        ts/1e6
1    30.025521
2    38.370052
3    30.871041
4     30.58724
5    34.343021
..         ...
164  30.254323
165  39.080417
166  23.453958
167      39.89
168  35.142969
[168 rows x 1 columns]
fps:29.98
gap:        ts/1e6
1    30.157083
2    39.070729
3    31.485886
4    30.791146
5    33.955572
..         ...
164  33.912448
165  38.380521
166  25.375365
167  39.878177
168  34.983385
[168 rows x 1 columns]