第45讲 Perfetto 自动化之Camera录像帧率自动化分析|极客笔记

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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在线课程	极客笔记在线课程
知识星球	星球名称：深入浅出Android Camera 星球ID: 17296815
Wechat	极客笔记圈

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]

Camera录像帧率自动化分析