安卓帧率获取

背景

性能优化,经常用到一些指标,诸如帧率、功耗等。对于普通app来讲, 之前一直使用gfxinfo指令获取丢帧率。但是这个指令无法获取游戏的帧率,查阅资料,发现SurfaceFlinger可以获取游戏帧率。

帧率获取原理

获取当前focused layer

指令 :adb shell 'dumpsys SurfaceFlinger | grep -i Explicit -A 30'
这一步看到focused layer name可能会不全,有省略号。可使用下一步指令查看完整layer name。focused的图层会有*号标志。示例如下:

java 复制代码
PS D:\work> adb shell 'dumpsys SurfaceFlinger | grep -i Explicit -A 30'
           Z |  Window Type |  Layer Class | Comp Type |  Transform |   Disp Frame (LTRB) |          Source Crop (LTRB) |     Frame Rate (Explicit) (Seamlessness) [Focused]
---------------------------------------------------------------------------------------------------------------------------------------------------------------
 SurfaceView[com.netease.l22.nearme.g[...]tyPlugin.AndroidPlugin](BLAST)#14220
           9 |            0 |            2 |     DEVICE |          0 |    0    0 1080 2376 |    0.0    0.0 1080.0 2376.0 |                                              [*]
获取SurfaceFlinger的layer列表

指令 :adb shell 'dumpsys SurfaceFlinger --list | grep xxx'
经过上一步获取到的focused layer name部分字符串xxx过来匹配,过滤掉不相关的数据。
3.

获取具体图层的帧信息

指令 :adb shell 'dumpsys SurfaceFlinger --latency <layer_name>'
terminal输出格式大致如下:
共有128行。第一行是刷新率。剩余的数据127行,分为3列,分别是:
desiredPresentTime:应用期望提交的时间
actualPresentTime:实际提交的时间
frameReadyTime:帧准备好的时间
每个数字,代表一个帧的时间戳,单位是ns。计算帧率,使用第二列数据,通过数时间戳,可以确定1秒有多少帧。

java 复制代码
> adb shell dumpsys SurfaceFlinger --latency "xxxxx"
16666666
59069638658663  59069678041684  59069654158298
59069653090955  59069695022100  59069670894236
59069671034444  59069711403455  59069687949861
59069688421840  59069728057361  59069704415121
59069705420850  59069744773350  59069720767830
59069719818975  59069761378975  59069737416007
59069736702673  59069778060955  59069754568663
59069753361528  59069794716007  59069770761632
59069768766371  59069811380486  59069787649600
......

帧率获取脚本

通过上述原理,将计算逻辑封装成python脚本。计算原理如下:

python 复制代码
import subprocess
import time
from threading import Thread

nanoseconds_per_second = 1e9


class SurfaceFlingerFPS():

    def __init__(self, view, ip):
        self.view = view
        self.ip = ip
        self.refresh_period, self.base_timestamp, self.timestamps = self.__init_frame_data__(self.view)
        self.recent_timestamps = self.timestamps[-2]
        self.fps = 0

    def __init_frame_data__(self, view):
        # print('__init_frame_data__()')
        out = ''
        try:
            out = subprocess.check_output(['adb', '-s', self.ip, 'shell', 'dumpsys', 'SurfaceFlinger', '--latency-clear', view])
        except subprocess.CalledProcessError as e:
            print(e.output)
        out = out.decode('utf-8')
        if out.strip() != '':
            raise RuntimeError("Not supported.")
            time.sleep(0.1)
        (refresh_period, timestamps) = self.__frame_data__(view)
        base_timestamp = 0
        base_index = 0
        for timestamp in timestamps:
            if timestamp != 0:
                base_timestamp = timestamp
                break
            base_index += 1
        if base_timestamp == 0:
            raise RuntimeError("Initial frame collect failed")
        # print('refresh_period={} base_timestamp={}\ntimestamps=\n{}'.format(refresh_period, base_timestamp, str(timestamps[base_index:])))
        return (refresh_period, base_timestamp, timestamps[base_index:])

    def __frame_data__(self, view):
        out = subprocess.check_output(['adb', '-s', self.ip, 'shell', 'dumpsys', 'SurfaceFlinger', '--latency', view])
        out = out.decode('utf-8')
        results = out.splitlines()

        refresh_period = int(results[0]) / nanoseconds_per_second
        timestamps = []
        for line in results[1:]:
            fields = line.split()
            if len(fields) != 3:
                continue
            (start, submitting, submitted) = map(int, fields)
            if submitting == 0:
                continue

            timestamp = submitting / nanoseconds_per_second
            timestamps.append(timestamp)
        return (refresh_period, timestamps)

    def collect_frame_data(self, view):
        if view is None:
            raise RuntimeError("Fail to get current SurfaceFlinger view")

        self.refresh_period, self.timestamps = self.__frame_data__(view)
        # print("\ncollect_frame_data()\ntimestamps=\n" + str(self.timestamps))
        time.sleep(1)
        self.refresh_period, tss = self.__frame_data__(view)
        # print("tss=\n" + str(tss))
        self.last_index = 0

        if self.timestamps:
            self.recent_timestamp = self.timestamps[-2]
            if self.recent_timestamp not in tss:
                self.recent_timestamp = self.timestamps[-3]
            self.last_index = tss.index(self.recent_timestamp)

        self.timestamps = self.timestamps[:-2] + tss[self.last_index:]
        # time.sleep(1)

        ajusted_timestamps = []
        for seconds in self.timestamps[:]:
            seconds -= self.base_timestamp
            if seconds > 1e6:  # too large, just ignore
                continue
            ajusted_timestamps.append(seconds)

        # print('ajusted_timestamps=\n' + str(ajusted_timestamps))
        from_time = ajusted_timestamps[-1] - 1.0

        fps_count = 0
        for seconds in ajusted_timestamps:
            if seconds > from_time:
                fps_count += 1
        self.fps = fps_count

    def start(self):
        th = Thread(target=self.collect_frame_data, args=(self.view,))
        th.start()

    def getFPS(self):
        self.collect_frame_data(self.view)
        return self.fps
相关推荐
游戏开发爱好者813 小时前
HTTPS 内容抓取实战 能抓到什么、怎么抓、不可解密时如何定位(面向开发与 iOS 真机排查)
android·网络协议·ios·小程序·https·uni-app·iphone
Tom4i15 小时前
Android 系统的进程模型
android
介一安全15 小时前
【Frida Android】基础篇9:Java层Hook基础——Hook构造函数
android·网络安全·逆向·安全性测试·frida
杨筱毅15 小时前
【Android】Compose绘制系统 VS 传统View绘制系统
android
介一安全15 小时前
【Frida Android】基础篇10:Native层Hook基础--普通 Hook
android·网络安全·逆向·安全性测试·frida
飞翔的佩奇15 小时前
【完整源码+数据集+部署教程】【天线&水】舰船战舰检测与分类图像分割系统源码&数据集全套:改进yolo11-repvit
前端·python·yolo·计算机视觉·数据集·yolo11·舰船战舰检测与分类图像分割系统
木头左16 小时前
最大回撤约束下ETF多因子动态止盈参数校准方案
python
位步16 小时前
在linux系统中使用通用包安装 Mysql
android·linux·mysql
汤姆yu16 小时前
2026版基于python的协同过滤音乐推荐系统
开发语言·python
汤姆yu16 小时前
基于python的电子商务管理系统
开发语言·python