This document will walk you through compiling your own scientific python distribution from source,
without sudo, on a linux machine. The core numpy and scipy libraries will be linked against
Intel MKL for maximum performance.
This procedure has been tested with Rocks Cluster Linux 6.0 (Mamba) and CentOS 6.3.
| ffmpeg -t 7200 -f lavfi -i color=c=black:s=1920x1080 -i "1.sup" -filter_complex "[0:v][1:s]overlay[v]" -map "[v]" -c:v libx264 -tune stillimage -pix_fmt yuv420p output.mp4 |
| #!/bin/sh | |
| server=`nvram get ddns_server_x` | |
| hostname=`nvram get ddns_hostname_x` | |
| wanip=`nvram get wan0_ipaddr` | |
| wanoldip=`nvram get wan0_realip_ip` | |
| nasserver="nwsrv-ns1.asus.com" | |
| postexe="/sbin/ddns_updated" | |
| cachefile="/tmp/ddns.cache" |
| #!/bin/sh | |
| ip6tables -X | |
| ip6tables -F | |
| ip6tables -P OUTPUT ACCEPT | |
| ip6tables -P INPUT ACCEPT | |
| ip6tables -P FORWARD ACCEPT | |
| #https://www.right.com.cn/forum/thread-2802556-1-1.html | |
| ip -6 route add 0::/0 dev ppp0 | |
| ip -6 route add default dev ppp0 metric 1 |
