Tidy files
Former-commit-id: 3ad18d4bae036b9c55576f4c8b726a32a4e30c76
This commit is contained in:
@ -7,10 +7,9 @@ from traceback import print_exc
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def init():
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if len(argv) != 2:
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print("Usage: a.py file.mp3")
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print(f"Usage: {__file__} file.mp3")
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exit(1)
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return argv[1]
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# return "新课程外研高一第32期.mp3"
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def make_dir(pth:str):
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if not path.isdir(pth):
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@ -1,88 +0,0 @@
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from sys import argv,exit
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from pydub import AudioSegment,silence
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from os import path,mkdir,system
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from shutil import rmtree
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from traceback import print_exc
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from json import dumps,loads
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def init():
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if len(argv) != 2:
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print("Usage: a.py file.mp3")
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exit(1)
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return argv[1]
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# return "新课程外研高一第32期.mp3"
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def make_dir(pth:str):
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if not path.isdir(pth):
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try:
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mkdir(pth)
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except PermissionError:
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print("Could not create directory '{pth}' because of permission error.".format(pth=pth))
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exit(-1)
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else:
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ipt=input(f"'{pth}' exists. Remove it [YES/no]: ")
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if ipt == "" or ipt == "yes":
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try:
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rmtree(pth)
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except PermissionError:
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print("Could not remove '{pth}' because of permission error.".format(pth=pth))
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exit(-1)
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mkdir(pth)
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else:
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print(f"Warning: Directory '{pth}' exists, which may influence the programm!")
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def cut(file:AudioSegment,length:list[int],keep=300) -> AudioSegment:
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maxlen = len(file)
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bgn,end=length
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if bgn-keep>=0:
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bgn-=keep
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if end+keep<=maxlen:
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end+=keep
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return file[bgn:end]
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def main():
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file = init()
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NAMES=["BASIC", "1-5", "Others"]
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make_dir("OUTPUT")
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for i in NAMES:
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make_dir(f"OUTPUT/{i}")
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print("Reading file ...")
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file:AudioSegment = AudioSegment.from_file(file)
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print("Detecting audio segments ...")
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arr=silence.detect_nonsilent(
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file,
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silence_thresh=-100,
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seek_step=500,
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min_silence_len=4000
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)
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print("Cutting audio segments ...")
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group=[]
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groups=[]
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groups.append([(cut(file,arr[0]),'info'),(cut(file,arr[1]),'example')])
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for i in range(2,2+5):
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group.append((cut(file,arr[i]),str(i-1)))
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groups.append(group)
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group=[]
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for i in range(7,len(arr)-1,2):
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group.append((cut(file,arr[i]),f"Tips_of_{(i-7)//2+6}"))
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group.append((cut(file,arr[i+1]),f"Text_{(i-7)//2+6}"))
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groups.append(group)
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for i,group in enumerate(groups):
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print(f"Saving audio segments '{NAMES[i]}' ...")
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for f,name in group:
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f.export(f"OUTPUT/{NAMES[i]}/{name}.mp3")
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print("Done!")
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if __name__ == '__main__':
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try:
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main()
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except SystemExit:
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system("pause")
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except KeyboardInterrupt as e:
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raise e
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except Exception:
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print("An unexpected exception occurred.")
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print_exc()
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78
README.md
Normal file
78
README.md
Normal file
@ -0,0 +1,78 @@
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# 个人使用小工具集
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## [修改连接数](changeConnectionLimit)
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win10修改wifi热点最大连接终端数
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Usage：`main.bat`
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## [学*网预览下载](zxxk_dl)
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下载学*网资源，通过预览的形式，下载的文件以html形式保存。可以使用adobe Acrobat的打印转为pdf，文字版文件以svg下载，图片版原图。
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1. 研究过程：[process.md](zxxk_dl/process.md)
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2. usage: `python main.py`
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3. requirements: python, requests
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## adb快速传手机文件
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源文件丢了，TODO
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## [并行auto-editor](mult)
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并行运行auto-editor, 递归转码所有视频。（PS：网课时用的）
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### files
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#### main.py
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主程序
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### main_up.py
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使用hevc（CUDA）硬解码
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### usage
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`python main.py`
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## 菁*网题目下载
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**ATTENTION：目前制作时的账号疑似被封禁，请谨慎使用**
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如需打印，请使用浏览器打印或转pdf
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### Usage
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菁优网任意界面，F12抓Cookie
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运行main.py，输入复制的内容，根据提示输入网址即可。
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### requements
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python, requests,bs4
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## [听力文件拆分](English_Listening_cut)
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基于学英语报的听力做听力文件拆解，拆分到每段对话
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### Usage
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`python main.py`
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## seat_map
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文档TODO
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## 简单运动报警(move_warn)
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对ip摄像头画面进行简单运动捕捉，核心代码来自网络。效果：运动达到一定范围，发出声音警告后自动关闭程序。
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### usage
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`python main.py`
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### requirements
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python, opencv
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10
autostart.py
Normal file
10
autostart.py
Normal file
@ -0,0 +1,10 @@
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from getpass import getpass
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from subprocess import Popen
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cmd=input("SSH: ").split()
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pwd=getpass()
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port=cmd[2]
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ip=cmd[3].replace("root@",f"root:{pwd}@")
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print(ip,port)
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Popen(fr'"C:\Program Files (x86)\NetSarang\Xshell 7\Xshell.exe" ssh://{ip}:{port}')
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ssh=Popen(f"ssh -CNg -L 6006:127.0.0.1:6006 -p {port} {cmd[3]}")
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1
bfg-1.14.0.jar.REMOVED.git-id
Normal file
1
bfg-1.14.0.jar.REMOVED.git-id
Normal file
@ -0,0 +1 @@
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688fe713674b914c519bef018aa47f7a8ba18d58
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39
changeConnectionLimit/main.bat
Normal file
39
changeConnectionLimit/main.bat
Normal file
@ -0,0 +1,39 @@
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@echo off
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:: Check if the script is run as administrator
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NET SESSION >nul 2>&1
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if %errorLevel% neq 0 (
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echo Requesting administrator permissions...
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goto runAsAdmin
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) else (
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goto main
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)
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:runAsAdmin
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:: Request administrator permissions
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powershell Start-Process "%0" -Verb RunAs
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exit /B
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:main
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:: Get user input for WifiMaxPeers value
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set /p WifiMaxPeersInput="Enter WifiMaxPeers value (decimal): "
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:: Validate if the input is a number
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set "WifiMaxPeers=%WifiMaxPeersInput%" 2>nul
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if not defined WifiMaxPeers (
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echo Invalid input. Please enter a valid decimal number.
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pause
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exit /B
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)
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:: Set the registry value
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reg add "HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\icssvc\Settings" /v WifiMaxPeers /t REG_DWORD /d %WifiMaxPeers% /f
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echo WifiMaxPeers registry value set to %WifiMaxPeers%.
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echo Restarting icssvc service.
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net stop icssvc
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net start icssvc
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echo Succeed.
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pause
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4
fast_pull/main.py
Normal file
4
fast_pull/main.py
Normal file
@ -0,0 +1,4 @@
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from subprocess import run
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path="Sounds"
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# Get file list
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Binary file not shown.
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Before Width: | Height: | Size: 117 KiB |
@ -1,97 +1,95 @@
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import cv2
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import numpy as np
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from winsound import PlaySound,SND_ALIAS,SND_ASYNC
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from time import time
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# Beep(500,500)
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# camera = cv2.VideoCapture(0) # 参数0表示第一个摄像头
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# camera = cv2.VideoCapture("opt.flv")
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camera = cv2.VideoCapture("http://192.168.124.17:8081/live.flv")
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# 判断视频是否打开
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if (camera.isOpened()):
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print('Open')
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else:
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print('摄像头未打开')
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# 测试用,查看视频size
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size = (int(camera.get(cv2.CAP_PROP_FRAME_WIDTH)), int(camera.get(cv2.CAP_PROP_FRAME_HEIGHT)))
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print('size:'+repr(size))
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es = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (9, 4))
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kernel = np.ones((5, 5), np.uint8)
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background = None
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cnt = 0
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tot = 0
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last = time()
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mask = np.array([(0, 0),(282, 0),(282, 26),(0, 26)])
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# cv2.waitKey(5)
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while True:
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# 读取视频流
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try:
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grabbed, frame_lwpCV = camera.read()
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cv2.waitKey(5)
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cv2.fillConvexPoly(frame_lwpCV, mask,(0,255,0))
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cv2.imshow("src",frame_lwpCV)
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except cv2.error:
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print("ignore this frame")
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continue
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# 对帧进行预处理，先转灰度图，再进行高斯滤波。
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# 用高斯滤波进行模糊处理，进行处理的原因：每个输入的视频都会因自然震动、光照变化或者摄像头本身等原因而产生噪声。对噪声进行平滑是为了避免在运动和跟踪时将其检测出来。
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gray_lwpCV = cv2.cvtColor(frame_lwpCV, cv2.COLOR_BGR2GRAY)
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gray_lwpCV = cv2.GaussianBlur(gray_lwpCV, (21, 21), 0)
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# 将第一帧设置为整个输入的背景
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if background is None:
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background = gray_lwpCV
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continue
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# 对于每个从背景之后读取的帧都会计算其与北京之间的差异，并得到一个差分图（different map）。
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# 还需要应用阈值来得到一幅黑白图像，并通过下面代码来膨胀（dilate）图像，从而对孔（hole）和缺陷（imperfection）进行归一化处理
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diff = cv2.absdiff(background, gray_lwpCV)
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# cv2.imshow('abs', diff)
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diff = cv2.threshold(diff, 25, 255, cv2.THRESH_BINARY)[1] # 二值化阈值处理
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diff = cv2.dilate(diff, es, iterations=2) # 形态学膨胀
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# 显示矩形框
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contours, hierarchy = cv2.findContours(diff.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # 该函数计算一幅图像中目标的轮廓
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contours = [c for c in contours if cv2.contourArea(c) >= 1500]
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# 对于矩形区域，只显示大于给定阈值的轮廓，所以一些微小的变化不会显示。对于光照不变和噪声低的摄像头可不设定轮廓最小尺寸的阈值
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total=0
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for c in contours:
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# if cv2.contourArea(c) < 1500:
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# continue
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total += cv2.contourArea(c)
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(x, y, w, h) = cv2.boundingRect(c) # 该函数计算矩形的边界框
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cv2.rectangle(frame_lwpCV, (x, y), (x+w, y+h), (0, 255, 0), 2)
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cv2.imshow('contours', frame_lwpCV)
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cv2.imshow('dis', diff)
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if len(contours)>0 and total>10000:
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cnt+=1
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if cnt > 5:
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if time()-last<5:
|
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print(time(),last)
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tot+=1
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else:
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print("else: ",time(),last)
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tot = 1
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last = time()
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cnt = 0
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print("################################")
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PlaySound("SystemAsterisk",SND_ALIAS|SND_ASYNC)
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background = gray_lwpCV
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else:
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cnt=cnt-1 if cnt>0 else 0
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|
||||
if tot>4:
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PlaySound("SystemHand",SND_ALIAS)
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exit()
|
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|
||||
key = cv2.waitKey(1) & 0xFF
|
||||
# 按'L'健退出循环
|
||||
if key == ord('L'):
|
||||
break
|
||||
|
||||
|
||||
camera.release()
|
||||
cv2.destroyAllWindows()
|
||||
import cv2
|
||||
import numpy as np
|
||||
from winsound import PlaySound,SND_ALIAS,SND_ASYNC
|
||||
from time import time
|
||||
# Beep(500,500)
|
||||
|
||||
camera = cv2.VideoCapture("http://192.168.124.17:8081/live.flv")
|
||||
# 判断视频是否打开
|
||||
if (camera.isOpened()):
|
||||
print('Open')
|
||||
else:
|
||||
print('摄像头未打开')
|
||||
|
||||
# 测试用,查看视频size
|
||||
size = (int(camera.get(cv2.CAP_PROP_FRAME_WIDTH)), int(camera.get(cv2.CAP_PROP_FRAME_HEIGHT)))
|
||||
print('size:'+repr(size))
|
||||
|
||||
es = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (9, 4))
|
||||
kernel = np.ones((5, 5), np.uint8)
|
||||
background = None
|
||||
cnt = 0
|
||||
tot = 0
|
||||
last = time()
|
||||
mask = np.array([(0, 0),(282, 0),(282, 26),(0, 26)])
|
||||
|
||||
# cv2.waitKey(5)
|
||||
|
||||
while True:
|
||||
# 读取视频流
|
||||
try:
|
||||
grabbed, frame_lwpCV = camera.read()
|
||||
cv2.waitKey(5)
|
||||
cv2.fillConvexPoly(frame_lwpCV, mask,(0,255,0))
|
||||
cv2.imshow("src",frame_lwpCV)
|
||||
except cv2.error:
|
||||
print("ignore this frame")
|
||||
continue
|
||||
# 对帧进行预处理，先转灰度图，再进行高斯滤波。
|
||||
# 用高斯滤波进行模糊处理，进行处理的原因：每个输入的视频都会因自然震动、光照变化或者摄像头本身等原因而产生噪声。对噪声进行平滑是为了避免在运动和跟踪时将其检测出来。
|
||||
gray_lwpCV = cv2.cvtColor(frame_lwpCV, cv2.COLOR_BGR2GRAY)
|
||||
gray_lwpCV = cv2.GaussianBlur(gray_lwpCV, (21, 21), 0)
|
||||
# 将第一帧设置为整个输入的背景
|
||||
if background is None:
|
||||
background = gray_lwpCV
|
||||
continue
|
||||
# 对于每个从背景之后读取的帧都会计算其与北京之间的差异，并得到一个差分图（different map）。
|
||||
# 还需要应用阈值来得到一幅黑白图像，并通过下面代码来膨胀（dilate）图像，从而对孔（hole）和缺陷（imperfection）进行归一化处理
|
||||
diff = cv2.absdiff(background, gray_lwpCV)
|
||||
# cv2.imshow('abs', diff)
|
||||
diff = cv2.threshold(diff, 25, 255, cv2.THRESH_BINARY)[1] # 二值化阈值处理
|
||||
diff = cv2.dilate(diff, es, iterations=2) # 形态学膨胀
|
||||
# 显示矩形框
|
||||
contours, hierarchy = cv2.findContours(diff.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # 该函数计算一幅图像中目标的轮廓
|
||||
contours = [c for c in contours if cv2.contourArea(c) >= 1500]
|
||||
# 对于矩形区域，只显示大于给定阈值的轮廓，所以一些微小的变化不会显示。对于光照不变和噪声低的摄像头可不设定轮廓最小尺寸的阈值
|
||||
total=0
|
||||
for c in contours:
|
||||
# if cv2.contourArea(c) < 1500:
|
||||
# continue
|
||||
total += cv2.contourArea(c)
|
||||
(x, y, w, h) = cv2.boundingRect(c) # 该函数计算矩形的边界框
|
||||
cv2.rectangle(frame_lwpCV, (x, y), (x+w, y+h), (0, 255, 0), 2)
|
||||
|
||||
cv2.imshow('contours', frame_lwpCV)
|
||||
cv2.imshow('dis', diff)
|
||||
|
||||
if len(contours)>0 and total>10000:
|
||||
cnt+=1
|
||||
if cnt > 5:
|
||||
if time()-last<5:
|
||||
print(time(),last)
|
||||
tot+=1
|
||||
else:
|
||||
print("else: ",time(),last)
|
||||
tot = 1
|
||||
last = time()
|
||||
cnt = 0
|
||||
print("################################")
|
||||
PlaySound("SystemAsterisk",SND_ALIAS|SND_ASYNC)
|
||||
background = gray_lwpCV
|
||||
else:
|
||||
cnt=cnt-1 if cnt>0 else 0
|
||||
|
||||
if tot>4:
|
||||
PlaySound("SystemHand",SND_ALIAS)
|
||||
exit()
|
||||
|
||||
key = cv2.waitKey(1) & 0xFF
|
||||
# 按'L'健退出循环
|
||||
if key == ord('L'):
|
||||
break
|
||||
|
||||
|
||||
camera.release()
|
||||
cv2.destroyAllWindows()
|
||||
4
pwd.txt
Normal file
4
pwd.txt
Normal file
@ -0,0 +1,4 @@
|
||||
***REMOVED***
|
||||
***REMOVED******REMOVED***
|
||||
***REMOVED***
|
||||
***REMOVED******REMOVED***
|
||||
74
seat_map/main.py
Normal file
74
seat_map/main.py
Normal file
@ -0,0 +1,74 @@
|
||||
import numpy as np
|
||||
from pandas import DataFrame
|
||||
|
||||
# seat = np.arange(48,dtype=np.byte).reshape((4,2,6))
|
||||
seat = np.fromfile('seat.dat',dtype=np.byte).reshape((4,2,6))
|
||||
print(seat.shape)
|
||||
|
||||
maps = np.arange(4)
|
||||
maps[-1]=maps[0]
|
||||
maps[:-1]+=1
|
||||
|
||||
seat[:,:,-1]=seat[:,:,0]
|
||||
seat[:,:,0:-1]+=1
|
||||
seat = seat[maps,:,:]
|
||||
|
||||
seat.tofile("seat.dat")
|
||||
|
||||
names = np.array([
|
||||
"张姝肜",
|
||||
"乔旺源",
|
||||
"焦祺",
|
||||
"丛金旺",
|
||||
"周巧冉",
|
||||
"张日昊",
|
||||
"刘卓",
|
||||
"宋智宪",
|
||||
"张文桦",
|
||||
"王子来",
|
||||
"姜樱楠",
|
||||
"于诗澳",
|
||||
"张潇艺",
|
||||
"李语恒",
|
||||
"*",
|
||||
"张晓轩",
|
||||
"宋佳怡",
|
||||
"宋雨蔓",
|
||||
"于世函",
|
||||
"王梁宇",
|
||||
"*",
|
||||
"毕一聪",
|
||||
"娄晴",
|
||||
"黄卓琳",
|
||||
"刘宇航",
|
||||
"刘雨鑫",
|
||||
"庞惠铭",
|
||||
"徐子灏",
|
||||
"阎展博",
|
||||
"崔子豪",
|
||||
"王明仁",
|
||||
"王耀增",
|
||||
"李善伊",
|
||||
"吴庆波",
|
||||
"樊乐天",
|
||||
"潘一鸣",
|
||||
"洛艺伟",
|
||||
"周含笑",
|
||||
"苏振宇",
|
||||
"沈洁",
|
||||
"李柏畅",
|
||||
"毕思淼",
|
||||
"张濠亿",
|
||||
"李怡萱",
|
||||
"高镆",
|
||||
"张妍",
|
||||
"杨颜聪",
|
||||
"李南卓阳"
|
||||
])
|
||||
opt = seat.reshape((8,6))
|
||||
opt = opt[:,::-1]
|
||||
print(DataFrame(opt))
|
||||
opt = names[opt]
|
||||
with open("seat.csv", "w", encoding="gb2312") as f:
|
||||
for i in range(6):
|
||||
print(",".join(opt[:,i]),file=f)
|
||||
@ -30,7 +30,7 @@ def writefile(filename,text):
|
||||
def main():
|
||||
softID=input("ID: ")
|
||||
url = "https://www.zxxk.com/soft/Preview/FirstLoadPreviewJson?softID={}&type=3&product=1&v=2&FullPreview=true"
|
||||
response = requests.get(url.format(softID))
|
||||
response = requests.get(url.format(softID),verify=False)
|
||||
if response.status_code!=200:
|
||||
print("ERROR")
|
||||
print(response.status_code)
|
||||
@ -66,7 +66,7 @@ def main():
|
||||
if "jpg" in url:
|
||||
l.append(f"<img src={url} />")
|
||||
continue
|
||||
page=requests.get(url,cookies=response.cookies)
|
||||
page=requests.get(url,cookies=response.cookies,verify=False)
|
||||
if not page.status_code==200:
|
||||
print(page)
|
||||
print(page.status_code)
|
||||
|
||||
Reference in New Issue
Block a user