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Sometimes you want to transfer docker images between two linux hosts over SSH. Supposing images are gonna be transferred to 2nd host, There are two options to do that:

1. Push image to the 2nd host
2. Pull image from the 1st host

Push to the 2nd host

Here are the Steps:

Save Image {> Compress} > SSH to 2nd Host ({> Decompress} > Load Image)

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ACTION=="add", SUBSYSTEM=="hidraw", ATTRS{idVendor}=="1038" RUN+="/etc/udev/rules.d/steelseries-perms.py '%E{DEVNAME}'"

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#! /bin/sh

# the metadata only contains the name of the default sink
default_sink_name=$(pw-metadata 0 'default.audio.sink' | grep 'value' | sed "s/.* value:'//;s/' type:.*$//;" | jq .name)
default_sink_id=$(pw-dump Node Device | jq '.[].info.props|select(."node.name" == '" $default_sink_name "') | ."object.id"')
current_volume=$(pw-cli enum-params "$default_sink_id" 'Props' | grep -A 2 'Spa:Pod:Object:Param:Props:channelVolumes' | awk '/Float / {gsub(/.*Float\s/," "); print $1^(1/3) }')
change="${1:-0.1}" # defaults to increment of 0.1
new_volume=$(echo "$current_volume $change" | awk '{printf "%f", $1 + $2}')
# we need to reconvert to cubic root
#new_volume_cube=$(echo "$new_volume" | awk '{ print $1^3 }')

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# 
# This is how I used it:
# $ cat ~/.bash_history | python bash-to-zsh-hist.py >> ~/.zsh_history

import sys
import time

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Guide to build OpenCV from source with GPU support (CUDA and cuDNN)

Feb 22nd, 2022

System specification

• Operating system: Ubuntu 20.04 x84_64 (64-bit)
• Architecture: amd64
• GPU: NVIDIA GeForce RTX 3090
• Python 3.8

Install dependencies and recommeneded packages

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# source: https://forum.proxmox.com/threads/removing-deleting-a-created-cluster.18887/
#/bin/sh
# stop service
systemctl stop pvestatd.service
systemctl stop pvedaemon.service
systemctl stop pve-cluster.service
systemctl stop corosync
systemctl stop pve-cluster

killall pmxcfs

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# https://github.com/oobabooga/text-generation-webui/blob/main/README.md
# https://github.com/oobabooga/text-generation-webui/blob/main/docs/Spell-book.md

# by default the Dockerfile specifies these versions: 3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX
# https://developer.nvidia.com/cuda-gpus you can find the version for your card here
# Tesla P100 = sm_60, sm_61, sm_62 and compute_60, compute_61, compute_62
# TORCH_CUDA_ARCH_LIST=6.0,6.1,6.2,7.0,7.5,8.0,8.6+PTX
# RTX3090 = sm_86 and compute_86 (PTX)
#8.6+PTX
# Tesla P100 = sm_60, sm_61, sm_62 and compute_60, compute_61, compute_62

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How to install OpenCV 4.5.2 with CUDA 11.2 and CUDNN 8.2 in Ubuntu 20.04

First of all install update and upgrade your system:

    $ sudo apt update
    $ sudo apt upgrade

Then, install required libraries:

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#
# Copyright (C) 2013-2020 Vinay Sajip. New BSD License.
#
import os
import os.path
from subprocess import Popen, PIPE
import sys
from threading import Thread
from urllib.parse import urlparse
from urllib.request import urlretrieve

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# https://gist.github.com/aallan/b4bb86db86079509e6159810ae9bd3e4

{
  "OFFICIALLY XEROX": [
    "000000"
  ],
  "SUPERLAN-2U": [
    "000001"
  ],
  "BBN (WAS INTERNAL USAGE ONLY, NO LONGER USED)": [