davexpro

video subtitle

ffmpeg -i *.mp4 -vf subtitles=*.srt output.mp4

element stream to ts

• ffmpeg -i audio.aac -i ch2.h264 -acodec copy -vcodec copy -f mpegts out.ts

rtsp 2 rtmp

• ffmpeg -rtsp_transport tcp -i rtsp://fuck.com/fuck/fuck -c copy -f flv rtmp://shit.com/shit/shit

截图片

davexpro

git init                                                  # 初始化本地git仓库（创建新仓库）
git config --global user.name "xxx"                       # 配置用户名
git config --global user.email "xxx@xxx.com"              # 配置邮件
git config --global color.ui true                         # git status等命令自动着色
git config --global color.status auto
git config --global color.diff auto
git config --global color.branch auto
git config --global color.interactive auto
git config --global --unset http.proxy                    # remove  proxy configuration on git
git clone git+ssh://git@192.168.53.168/VT.git             # clone远程仓库

davexpro

#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

davexpro

from keras.layers.merge import Concatenate
from keras.layers.core import Lambda
from keras.models import Model

import tensorflow as tf

def make_parallel(model, gpu_count):
    def get_slice(data, idx, parts):
        shape = tf.shape(data)
        size = tf.concat([ shape[:1] // parts, shape[1:] ],axis=0)

davexpro

#!/usr/bin/python

# Quick and dirty demonstration of CVE-2014-0160 by Jared Stafford (jspenguin@jspenguin.org)
# The author disclaims copyright to this source code.

import sys
import struct
import socket
import time
import select

davexpro

#!/usr/bin/env python
# coding=utf8
# author=evi1m0
# website=linux.im

'''
    12306 Captcha Picture:
    author: Evi1m0@20150316
        1. Download Captcha
        2. Pic Conver Text