gamanakis

# Windows (receiver) side:
.\ffplay.exe -nodisp -ac 2 -acodec pcm_u8 -ar 48000 -analyzeduration 0 -probesize 32 -f u8 -i udp://0.0.0.0:18181?listen=1

# Linux (transmitter) side:
pactl load-module module-null-sink sink_name=remote
ffmpeg -f pulse -i "remote.monitor" -ac 2 -acodec pcm_u8 -ar 48000 -f u8 "udp://RECEIVER:18181"
pavucontrol # Change the default output to the Null sink or move single applications to this "output" device.

gamanakis

#256 colors in putty, tmux/screen and vim There is a detailed answer on stackoverflow. If you are looking for a short one, here it is.

• putty

  Set Connection -> Data -> Terminal-type string to xterm-256color

• tmux

Add this line to ~/.tmux.conf

gamanakis

#!/bin/bash

if [ -d "/store" ]; then
    echo "Destroy the array first. Or don't. That's kinda the point of this message."
    exit 1
fi

echo SERIAL1 $( smartctl --attributes /dev/disk/by-id/ata-MODEL_SERIAL1 | grep UDMA )
echo SERIAL2 $( smartctl --attributes /dev/disk/by-id/ata-MODEL_SERIAL2 | grep UDMA )
echo SERIAL3 $( smartctl --attributes /dev/disk/by-id/ata-MODEL_SERIAL3 | grep UDMA )

gamanakis

#!/bin/bash
#
# Usage grep-with-gpg path/to/encrypted/files/*
#

if [ -z "$1" ]; then
    echo "Usage: $0 'search string' [path/to/encrypted/files/*]";
    exit 1;
else
    SEARCH=$1;

gamanakis

Instructions (works on amd64 and arm64)

A copy/paste guide to getting a full working astro-imaging computer running on Ubuntu 20.04 LTS. Installs latest stable versions of gpsd, KStars, INDI, OACapture, SkyChart, ASTAP, and Astrometry.net.

It uses the lightweight XFCE4 desktop, and allows you to VNC in, running everything locally on the astro-imaging pc.

Install Ubuntu Server 20.04.1

gamanakis

import tensorflow as tf

# credit: https://stackoverflow.com/a/66524901/9215780
class CustomTrainStep(tf.keras.Model):
    def __init__(self, n_gradients, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.n_gradients = tf.constant(n_gradients, dtype=tf.int32)
        self.n_acum_step = tf.Variable(0, dtype=tf.int32, trainable=False)
        self.gradient_accumulation = [tf.Variable(tf.zeros_like(v, dtype=tf.float32), 
                                                  trainable=False) for v in self.trainable_variables]

gamanakis

Password-store keeps your passwords (or any other sensitive information) saved in GnuPG encrypted files organized in ~/.password-store. For more information about GPG, consult the GNU Privacy Handbook.

Getting started

To get started, install pass and generate a keypair.

$ brew install pass
$ gpg --gen-key
$ gpg --list-keys