Python 第三方库(Tiptop\Rembg\Psutil)

左手的ㄟ右手 2024-04-23 21:28 127阅读 0赞

## Tiptop 简介 ##

tiptop:命令行系统监控工具

### Tiptop 安装 ###

1、创建虚拟环境photemaker, 并激活photemaker.

2、安装tiptop, 执行如下指令:

pip install tiptop

3、执行效果

![5852e62bf00e49abb20f36db6c297764.png][]

### Tiptop 命令执行遇到的问题 ###

在CMD 控制台执行tiptop 命令，提示如下报错：

───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
    │ D:\anaconda3\envs\photemaker\lib\site-packages\tiptop\_cpu.py:129 in on_mount                                        │
    │                                                                                                                      │
    │   126 │   │   num_threads = psutil.cpu_count(logical=True)                                                           │
    │   127 │   │                                                                                                          │
    │   128 │   │   # 8 threads, 4 cores -> [[0, 4], [1, 5], [2, 6], [3, 7]]                                               │
    │ ❱ 129 │   │   assert num_threads % self.num_cores == 0                                                               │
    │   130 │   │   self.core_threads = transpose(list(chunks(range(num_threads), self.num_cores)))                        │
    │   131 │   │                                                                                                          │
    │   132 │   │   self.cpu_total_stream = BrailleStream(50, 7, 0.0, 100.0)                                               │
    │                                                                                                                      │
    │ ╭──────────── locals ─────────────╮                                                                                  │
    │ │ num_threads = 16                │                                                                                  │
    │ │        self = CPU(name='CPU#1') │

解决办法：注释site-packages\\tiptop\\\_cpu.py:129行的断言注释。

![c18be4a6c5df41709c7be8f8bac73e9d.png][]

## Rembg 简介 ##

rembg:实现去除图片背景

### Rembg 安装 ###

**CPU 版本**

pip install rembg # 编码使用
    pip install rembg[cli] # 编码+命令行

**GPU 版本**

pip install rembg[gpu] # 编码使用
    pip install rembg[gpu,cli] # 编码+命令行

我选择的安装版本为: pip install rembg\[cli\]

(photemaker) E:\python_ai\PhotoMaker>pip install rembg[cli]
    Collecting rembg[cli]
      Using cached rembg-2.0.56-py3-none-any.whl.metadata (15 kB)
    Requirement already satisfied: jsonschema in d:\anaconda3\envs\photemaker\lib\site-packages (from rembg[cli]) (4.21.1)
    Requirement already satisfied: numpy in d:\anaconda3\envs\photemaker\lib\site-packages (from rembg[cli]) (1.24.1)
    Collecting onnxruntime (from rembg[cli])
      Using cached onnxruntime-1.17.1-cp310-cp310-win_amd64.whl.metadata (4.4 kB)
    Collecting opencv-python-headless (from rembg[cli])
      Using cached opencv_python_headless-4.9.0.80-cp37-abi3-win_amd64.whl.metadata (20 kB)
    Requirement already satisfied: pillow in d:\anaconda3\envs\photemaker\lib\site-packages (from rembg[cli]) (10.2.0)
    Collecting pooch (from rembg[cli])
      Using cached pooch-1.8.1-py3-none-any.whl.metadata (9.5 kB)

温馨提示：**第一次运行会先下载预训练的模型，模型的下载地址**

Rembg 模型下载地址：[https://github.com/danielgatis/rembg/releases?page=5][https_github.com_danielgatis_rembg_releases_page_5]

选择Model Tag

![ef4d11805242427498ac26955586cb01.png][]

模型的默认存放地址（默认使用u2net模型）：C:\\Users\\zzg\\.u2net\\u2net.onnx

### 预训练模型 ###

一次运行会先下载预训练的模型，默认从 `github` 下载，在国内可能无法从 `github` 下载，这里提供一个 网盘的下载地址 [模型-国内网盘下载][-]，下载之后放在 `C:\Users\用户名\.u2net\` 目录下

**这些不需要全部下载，可以只下载其中一个，默认需要的模型是 `u2net`**，其他的模型根据需求有选择的下载

![微信图片\_20230630141617.png][20230630141617.png]

可以使用的模型有

*  u2net ([download][], [source][]): 通用预训练模型
 *  u2netp ([download][download 1], [source][]): u2net的轻量版
 *  u2net\_human\_seg ([download][download 2], [source][]): 预训练的人物分割模型
 *  u2net\_cloth\_seg ([download][download 3], [source][source 1]): 预训练的衣服的分割模型，会分割 上半身，下半身和全身
 *  silueta ([download][download 4], [source][source 2]): 和 u2net 模型一样只不过大小只有 43MB
 *  isnet-general-use ([download][download 5], [source][source 3]): 预训练的通用模型
 *  isnet-anime ([download][download 6], [source][source 4]): 动漫角色的高精度分割模型
 *  sam ([download encoder][], [download decoder][], [source][source 5]): 预训练的通用模型

### Usage as a cli （该章节全部 拷贝至Rembg官网文档） ###

After the installation step you can use rembg just typing `rembg` in your terminal window.

The `rembg` command has 4 subcommands, one for each input type:

*  `i` for files
 *  `p` for folders
 *  `s` for http server
 *  `b` for RGB24 pixel binary stream

You can get help about the main command using:

rembg --help

As well, about all the subcommands using:

rembg <COMMAND> --help

#### rembg `i` ####

Used when input and output are files.

Remove the background from a remote image

curl -s http://input.png | rembg i > output.png

Remove the background from a local file

rembg i path/to/input.png path/to/output.png

Remove the background specifying a model

rembg i -m u2netp path/to/input.png path/to/output.png

Remove the background returning only the mask

rembg i -om path/to/input.png path/to/output.png

Remove the background applying an alpha matting

rembg i -a path/to/input.png path/to/output.png

Passing extras parameters

SAM example
    
    rembg i -m sam -x '{ "sam_prompt": [{"type": "point", "data": [724, 740], "label": 1}] }' examples/plants-1.jpg examples/plants-1.out.png

Custom model example
    
    rembg i -m u2net_custom -x '{"model_path": "~/.u2net/u2net.onnx"}' path/to/input.png path/to/output.png

#### rembg `p` ####

Used when input and output are folders.

Remove the background from all images in a folder

rembg p path/to/input path/to/output

Same as before, but watching for new/changed files to process

rembg p -w path/to/input path/to/output

#### rembg `s` ####

Used to start http server.

rembg s --host 0.0.0.0 --port 7000 --log_level info

To see the complete endpoints documentation, go to: `http://localhost:7000/api`.

Remove the background from an image url

curl -s "http://localhost:7000/api/remove?url=http://input.png" -o output.png

Remove the background from an uploaded image

curl -s -F file=@/path/to/input.jpg "http://localhost:7000/api/remove"  -o output.png

#### rembg `b` ####

Process a sequence of RGB24 images from stdin. This is intended to be used with another program, such as FFMPEG, that outputs RGB24 pixel data to stdout, which is piped into the stdin of this program, although nothing prevents you from manually typing in images at stdin.

rembg b image_width image_height -o output_specifier

Arguments:

*  image\_width : width of input image(s)
 *  image\_height : height of input image(s)
 *  output\_specifier: printf-style specifier for output filenames, for example if `output-%03u.png`, then output files will be named `output-000.png`, `output-001.png`, `output-002.png`, etc. Output files will be saved in PNG format regardless of the extension specified. You can omit it to write results to stdout.

Example usage with FFMPEG:

ffmpeg -i input.mp4 -ss 10 -an -f rawvideo -pix_fmt rgb24 pipe:1 | rembg b 1280 720 -o folder/output-%03u.png

The width and height values must match the dimension of output images from FFMPEG. Note for FFMPEG, the "`-an -f rawvideo -pix_fmt rgb24 pipe:1`" part is required for the whole thing to work.

### Usage as a library ###

Input and output as bytes

from rembg import remove
    
    input_path = 'input.png'
    output_path = 'output.png'
    
    with open(input_path, 'rb') as i:
        with open(output_path, 'wb') as o:
            input = i.read()
            output = remove(input)
            o.write(output)

Input and output as a PIL image

from rembg import remove
    from PIL import Image
    
    input_path = 'input.png'
    output_path = 'output.png'
    
    input = Image.open(input_path)
    output = remove(input)
    output.save(output_path)

Input and output as a numpy array

from rembg import remove
    import cv2
    
    input_path = 'input.png'
    output_path = 'output.png'
    
    input = cv2.imread(input_path)
    output = remove(input)
    cv2.imwrite(output_path, output)

How to iterate over files in a performatic way

from pathlib import Path
    from rembg import remove, new_session
    
    session = new_session()
    
    for file in Path('path/to/folder').glob('*.png'):
        input_path = str(file)
        output_path = str(file.parent / (file.stem + ".out.png"))
    
        with open(input_path, 'rb') as i:
            with open(output_path, 'wb') as o:
                input = i.read()
                output = remove(input, session=session)
                o.write(output)

**CMD 命令窗口实例：**

(photemaker) E:\python_ai\PhotoMaker>rembg i E:\python_ai\backgroundremover\examplefiles\rourou.jpg E:\python_ai\backgroundremover\examplefiles\2.png
    Downloading data from 'https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net.onnx' to file 'C:\Users\zzg\.u2net\u2net.onnx'.
    100%|###############################################| 176M/176M [00:00<?, ?B/s]

效果截图：

![894cf84c74a246d9ae93f0cb0e4ce77b.png][]

## Psutil 简介 ##

psutil:监控系统运行库

### psutil 安装 ###

pip install psutil

#### CPU ####

>>> import psutil
    >>>
    >>> psutil.cpu_times()
    scputimes(user=3961.46, nice=169.729, system=2150.659, idle=16900.540, iowait=629.59, irq=0.0, softirq=19.42, steal=0.0, guest=0, guest_nice=0.0)
    >>>
    >>> for x in range(3):
    ...     psutil.cpu_percent(interval=1)
    ...
    4.0
    5.9
    3.8
    >>>
    >>> for x in range(3):
    ...     psutil.cpu_percent(interval=1, percpu=True)
    ...
    [4.0, 6.9, 3.7, 9.2]
    [7.0, 8.5, 2.4, 2.1]
    [1.2, 9.0, 9.9, 7.2]
    >>>
    >>> for x in range(3):
    ...     psutil.cpu_times_percent(interval=1, percpu=False)
    ...
    scputimes(user=1.5, nice=0.0, system=0.5, idle=96.5, iowait=1.5, irq=0.0, softirq=0.0, steal=0.0, guest=0.0, guest_nice=0.0)
    scputimes(user=1.0, nice=0.0, system=0.0, idle=99.0, iowait=0.0, irq=0.0, softirq=0.0, steal=0.0, guest=0.0, guest_nice=0.0)
    scputimes(user=2.0, nice=0.0, system=0.0, idle=98.0, iowait=0.0, irq=0.0, softirq=0.0, steal=0.0, guest=0.0, guest_nice=0.0)
    >>>
    >>> psutil.cpu_count()
    4
    >>> psutil.cpu_count(logical=False)
    2
    >>>
    >>> psutil.cpu_stats()
    scpustats(ctx_switches=20455687, interrupts=6598984, soft_interrupts=2134212, syscalls=0)
    >>>
    >>> psutil.cpu_freq()
    scpufreq(current=931.42925, min=800.0, max=3500.0)
    >>>
    >>> psutil.getloadavg()  # also on Windows (emulated)
    (3.14, 3.89, 4.67)

#### Memory ####

>>> psutil.virtual_memory()
    svmem(total=10367352832, available=6472179712, percent=37.6, used=8186245120, free=2181107712, active=4748992512, inactive=2758115328, buffers=790724608, cached=3500347392, shared=787554304)
    >>> psutil.swap_memory()
    sswap(total=2097147904, used=296128512, free=1801019392, percent=14.1, sin=304193536, sout=677842944)
    >>>

#### Disks ####

>>> psutil.disk_partitions()
    [sdiskpart(device='/dev/sda1', mountpoint='/', fstype='ext4', opts='rw,nosuid', maxfile=255, maxpath=4096),
     sdiskpart(device='/dev/sda2', mountpoint='/home', fstype='ext', opts='rw', maxfile=255, maxpath=4096)]
    >>>
    >>> psutil.disk_usage('/')
    sdiskusage(total=21378641920, used=4809781248, free=15482871808, percent=22.5)
    >>>
    >>> psutil.disk_io_counters(perdisk=False)
    sdiskio(read_count=719566, write_count=1082197, read_bytes=18626220032, write_bytes=24081764352, read_time=5023392, write_time=63199568, read_merged_count=619166, write_merged_count=812396, busy_time=4523412)
    >>>

#### Network ####

>>> psutil.net_io_counters(pernic=True)
    {'eth0': netio(bytes_sent=485291293, bytes_recv=6004858642, packets_sent=3251564, packets_recv=4787798, errin=0, errout=0, dropin=0, dropout=0),
     'lo': netio(bytes_sent=2838627, bytes_recv=2838627, packets_sent=30567, packets_recv=30567, errin=0, errout=0, dropin=0, dropout=0)}
    >>>
    >>> psutil.net_connections(kind='tcp')
    [sconn(fd=115, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='10.0.0.1', port=48776), raddr=addr(ip='93.186.135.91', port=80), status='ESTABLISHED', pid=1254),
     sconn(fd=117, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='10.0.0.1', port=43761), raddr=addr(ip='72.14.234.100', port=80), status='CLOSING', pid=2987),
     ...]
    >>>
    >>> psutil.net_if_addrs()
    {'lo': [snicaddr(family=<AddressFamily.AF_INET: 2>, address='127.0.0.1', netmask='255.0.0.0', broadcast='127.0.0.1', ptp=None),
            snicaddr(family=<AddressFamily.AF_INET6: 10>, address='::1', netmask='ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff', broadcast=None, ptp=None),
            snicaddr(family=<AddressFamily.AF_LINK: 17>, address='00:00:00:00:00:00', netmask=None, broadcast='00:00:00:00:00:00', ptp=None)],
     'wlan0': [snicaddr(family=<AddressFamily.AF_INET: 2>, address='192.168.1.3', netmask='255.255.255.0', broadcast='192.168.1.255', ptp=None),
               snicaddr(family=<AddressFamily.AF_INET6: 10>, address='fe80::c685:8ff:fe45:641%wlan0', netmask='ffff:ffff:ffff:ffff::', broadcast=None, ptp=None),
               snicaddr(family=<AddressFamily.AF_LINK: 17>, address='c4:85:08:45:06:41', netmask=None, broadcast='ff:ff:ff:ff:ff:ff', ptp=None)]}
    >>>
    >>> psutil.net_if_stats()
    {'lo': snicstats(isup=True, duplex=<NicDuplex.NIC_DUPLEX_UNKNOWN: 0>, speed=0, mtu=65536, flags='up,loopback,running'),
     'wlan0': snicstats(isup=True, duplex=<NicDuplex.NIC_DUPLEX_FULL: 2>, speed=100, mtu=1500, flags='up,broadcast,running,multicast')}
    >>>

#### Sensors/传感器 ####

>>> import psutil
    >>> psutil.sensors_temperatures()
    {'acpitz': [shwtemp(label='', current=47.0, high=103.0, critical=103.0)],
     'asus': [shwtemp(label='', current=47.0, high=None, critical=None)],
     'coretemp': [shwtemp(label='Physical id 0', current=52.0, high=100.0, critical=100.0),
                  shwtemp(label='Core 0', current=45.0, high=100.0, critical=100.0)]}
    >>>
    >>> psutil.sensors_fans()
    {'asus': [sfan(label='cpu_fan', current=3200)]}
    >>>
    >>> psutil.sensors_battery()
    sbattery(percent=93, secsleft=16628, power_plugged=False)
    >>>

#### Other system info ####

>>> import psutil
    >>> psutil.users()
    [suser(name='giampaolo', terminal='pts/2', host='localhost', started=1340737536.0, pid=1352),
     suser(name='giampaolo', terminal='pts/3', host='localhost', started=1340737792.0, pid=1788)]
    >>>
    >>> psutil.boot_time()
    1365519115.0
    >>>

#### Process management ####

>>> import psutil
    >>> psutil.pids()
    [1, 2, 3, 4, 5, 6, 7, 46, 48, 50, 51, 178, 182, 222, 223, 224, 268, 1215,
     1216, 1220, 1221, 1243, 1244, 1301, 1601, 2237, 2355, 2637, 2774, 3932,
     4176, 4177, 4185, 4187, 4189, 4225, 4243, 4245, 4263, 4282, 4306, 4311,
     4312, 4313, 4314, 4337, 4339, 4357, 4358, 4363, 4383, 4395, 4408, 4433,
     4443, 4445, 4446, 5167, 5234, 5235, 5252, 5318, 5424, 5644, 6987, 7054,
     7055, 7071]
    >>>
    >>> p = psutil.Process(7055)
    >>> p
    psutil.Process(pid=7055, name='python3', status='running', started='09:04:44')
    >>> p.pid
    7055
    >>> p.name()
    'python3'
    >>> p.exe()
    '/usr/bin/python3'
    >>> p.cwd()
    '/home/giampaolo'
    >>> p.cmdline()
    ['/usr/bin/python3', 'main.py']
    >>>
    >>> p.ppid()
    7054
    >>> p.parent()
    psutil.Process(pid=4699, name='bash', status='sleeping', started='09:06:44')
    >>> p.parents()
    [psutil.Process(pid=4699, name='bash', started='09:06:44'),
     psutil.Process(pid=4689, name='gnome-terminal-server', status='sleeping', started='0:06:44'),
     psutil.Process(pid=1, name='systemd', status='sleeping', started='05:56:55')]
    >>> p.children(recursive=True)
    [psutil.Process(pid=29835, name='python3', status='sleeping', started='11:45:38'),
     psutil.Process(pid=29836, name='python3', status='waking', started='11:43:39')]
    >>>
    >>> p.status()
    'running'
    >>> p.create_time()
    1267551141.5019531
    >>> p.terminal()
    '/dev/pts/0'
    >>>
    >>> p.username()
    'giampaolo'
    >>> p.uids()
    puids(real=1000, effective=1000, saved=1000)
    >>> p.gids()
    pgids(real=1000, effective=1000, saved=1000)
    >>>
    >>> p.cpu_times()
    pcputimes(user=1.02, system=0.31, children_user=0.32, children_system=0.1, iowait=0.0)
    >>> p.cpu_percent(interval=1.0)
    12.1
    >>> p.cpu_affinity()
    [0, 1, 2, 3]
    >>> p.cpu_affinity([0, 1])  # set
    >>> p.cpu_num()
    1
    >>>
    >>> p.memory_info()
    pmem(rss=10915840, vms=67608576, shared=3313664, text=2310144, lib=0, data=7262208, dirty=0)
    >>> p.memory_full_info()  # "real" USS memory usage (Linux, macOS, Win only)
    pfullmem(rss=10199040, vms=52133888, shared=3887104, text=2867200, lib=0, data=5967872, dirty=0, uss=6545408, pss=6872064, swap=0)
    >>> p.memory_percent()
    0.7823
    >>> p.memory_maps()
    [pmmap_grouped(path='/lib/x8664-linux-gnu/libutil-2.15.so', rss=32768, size=2125824, pss=32768, shared_clean=0, shared_dirty=0, private_clean=20480, private_dirty=12288, referenced=32768, anonymous=12288, swap=0),
     pmmap_grouped(path='/lib/x8664-linux-gnu/libc-2.15.so', rss=3821568, size=3842048, pss=3821568, shared_clean=0, shared_dirty=0, private_clean=0, private_dirty=3821568, referenced=3575808, anonymous=3821568, swap=0),
     pmmap_grouped(path='[heap]',  rss=32768, size=139264, pss=32768, shared_clean=0, shared_dirty=0, private_clean=0, private_dirty=32768, referenced=32768, anonymous=32768, swap=0),
     pmmap_grouped(path='[stack]', rss=2465792, size=2494464, pss=2465792, shared_clean=0, shared_dirty=0, private_clean=0, private_dirty=2465792, referenced=2277376, anonymous=2465792, swap=0),
     ...]
    >>>
    >>> p.io_counters()
    pio(read_count=478001, write_count=59371, read_bytes=700416, write_bytes=69632, read_chars=456232, write_chars=517543)
    >>>
    >>> p.open_files()
    [popenfile(path='/home/giampaolo/monit.py', fd=3, position=0, mode='r', flags=32768),
     popenfile(path='/var/log/monit.log', fd=4, position=235542, mode='a', flags=33793)]
    >>>
    >>> p.connections(kind='tcp')
    [pconn(fd=115, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='10.0.0.1', port=48776), raddr=addr(ip='93.186.135.91', port=80), status='ESTABLISHED'),
     pconn(fd=117, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='10.0.0.1', port=43761), raddr=addr(ip='72.14.234.100', port=80), status='CLOSING')]
    >>>
    >>> p.threads()
    [pthread(id=5234, user_time=22.5, system_time=9.2891),
     pthread(id=5237, user_time=0.0707, system_time=1.1)]
    >>>
    >>> p.num_threads()
    4
    >>> p.num_fds()
    8
    >>> p.num_ctx_switches()
    pctxsw(voluntary=78, involuntary=19)
    >>>
    >>> p.nice()
    0
    >>> p.nice(10)  # set
    >>>
    >>> p.ionice(psutil.IOPRIO_CLASS_IDLE)  # IO priority (Win and Linux only)
    >>> p.ionice()
    pionice(ioclass=<IOPriority.IOPRIO_CLASS_IDLE: 3>, value=0)
    >>>
    >>> p.rlimit(psutil.RLIMIT_NOFILE, (5, 5))  # set resource limits (Linux only)
    >>> p.rlimit(psutil.RLIMIT_NOFILE)
    (5, 5)
    >>>
    >>> p.environ()
    {'LC_PAPER': 'it_IT.UTF-8', 'SHELL': '/bin/bash', 'GREP_OPTIONS': '--color=auto',
    'XDG_CONFIG_DIRS': '/etc/xdg/xdg-ubuntu:/usr/share/upstart/xdg:/etc/xdg',
     ...}
    >>>
    >>> p.as_dict()
    {'status': 'running', 'num_ctx_switches': pctxsw(voluntary=63, involuntary=1), 'pid': 5457, ...}
    >>> p.is_running()
    True
    >>> p.suspend()
    >>> p.resume()
    >>>
    >>> p.terminate()
    >>> p.kill()
    >>> p.wait(timeout=3)
    <Exitcode.EX_OK: 0>
    >>>
    >>> psutil.test()
    USER         PID %CPU %MEM     VSZ     RSS TTY        START    TIME  COMMAND
    root           1  0.0  0.0   24584    2240            Jun17   00:00  init
    root           2  0.0  0.0       0       0            Jun17   00:00  kthreadd
    ...
    giampaolo  31475  0.0  0.0   20760    3024 /dev/pts/0 Jun19   00:00  python2.4
    giampaolo  31721  0.0  2.2  773060  181896            00:04   10:30  chrome
    root       31763  0.0  0.0       0       0            00:05   00:00  kworker/0:1
    >>>

更多Process API

>>> import psutil
    >>> for proc in psutil.process_iter(['pid', 'name']):
    ...     print(proc.info)
    ...
    {'pid': 1, 'name': 'systemd'}
    {'pid': 2, 'name': 'kthreadd'}
    {'pid': 3, 'name': 'ksoftirqd/0'}
    ...
    >>>
    >>> psutil.pid_exists(3)
    True
    >>>
    >>> def on_terminate(proc):
    ...     print("process {} terminated".format(proc))
    ...
    >>> # waits for multiple processes to terminate
    >>> gone, alive = psutil.wait_procs(procs_list, timeout=3, callback=on_terminate)
    >>>

#### Windows services ####

>>> list(psutil.win_service_iter())
    [<WindowsService(name='AeLookupSvc', display_name='Application Experience') at 38850096>,
     <WindowsService(name='ALG', display_name='Application Layer Gateway Service') at 38850128>,
     <WindowsService(name='APNMCP', display_name='Ask Update Service') at 38850160>,
     <WindowsService(name='AppIDSvc', display_name='Application Identity') at 38850192>,
     ...]
    >>> s = psutil.win_service_get('alg')
    >>> s.as_dict()
    {'binpath': 'C:\\Windows\\System32\\alg.exe',
     'description': 'Provides support for 3rd party protocol plug-ins for Internet Connection Sharing',
     'display_name': 'Application Layer Gateway Service',
     'name': 'alg',
     'pid': None,
     'start_type': 'manual',
     'status': 'stopped',
     'username': 'NT AUTHORITY\\LocalService'}

[5852e62bf00e49abb20f36db6c297764.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/23/ba78838f799341ffabb72e7f1c75aa38.png
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