woudsma

TLS secured TCP exposed Docker daemon on Dokku host - setup

1. Create certificates
2. Edit Docker options
3. Restart Docker
4. Copy client certificates from host
5. (optional) Add remote endpoint in Portainer

Tested on a standard $5/mo DigitalOcean VPS running Ubuntu 16.04.

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woudsma

Converting samples before import to JoMoX Alpha Base

Samples need to be 16 bit / 48kHz mono wav files.

Requirements:

• Zsh (run zsh --version to check if it's installed already)
• FFmpeg (brew install ffmpeg)

This guide is for UNIX (MacOS or Linux) users, the process would be similar on Windows machines with FFmpeg though. The required FFmpeg options are:

ffmpeg -i $INPUT -acodec pcm_s16le -ac 1 -ar 48000 $OUTPUT

woudsma

Retrain a MobileNet model and use it in the browser with TensorFlow.js

DRAFT

Combining TensorFlow for Poets and TensorFlow.js.
Retrain a MobileNet V1 or V2 model on your own dataset using the CPU only.
I'm using a MacBook Pro without Nvidia GPU.

MobileNets can be used for image classification. This guide shows the steps I took to retrain a MobileNet on a custom dataset, and how to convert and use the retrained model in the browser using TensorFlow.js. The total time to set up, retrain the model and use it in the browser can take less than 30 minutes (depending on the size of your dataset).

Example app - HTML/JS and a retrained MobileNet V1/V2 model.

woudsma

# Example repository with Dockerfile and NGINX config: https://github.com/woudsma/es6-boilerplate

name: Deploy to Dokku

on:
  pull_request:
    types:
      - closed
    branches:
      - develop

woudsma

Kirby + AutoGit on Dokku

TL;DR

• Configure Kirby for Dokku
• Install deployment-keys and host keys Dokku plugins
• Set up staging and production environments
• Clone project repository into apps persistent storage folders
• Mount desired folders including .git folder to apps
• Add GIT_DIR and GIT_WORK_TREE environment variables to containers
• Deploy to Dokku

woudsma

// Simulates try/catch statements wrapping async functions in (nested) object
// Returns copy of original object with basic promise-rejection handling for async functions using .catch
// Saves the time of writing try/catch statements in every single async function

const trycatch = obj => Object.keys(obj)
  .reduce((acc, curr) => ({ ...acc, [curr]: obj[curr] instanceof Function
    ? (...args) => obj[curr](...args).catch(::console.error)
    : trycatch(obj[curr]) }), {})

woudsma

function gitignore() {
  TAGS="${@}"
  TAGS="${TAGS/mac/macos}"
  GITIGNORE_IO_URL="https://www.toptal.com/developers/gitignore/api/${TAGS// /,}"
  GITIGNORE_FILE="$(pwd)/.gitignore"
  echo "--> Fetching: $GITIGNORE_IO_URL"
  echo "--> Writing: $GITIGNORE_FILE"
  curl -fsSL "$GITIGNORE_IO_URL" >> "$GITIGNORE_FILE"
}

woudsma

#!/bin/bash
###
### my-script — does one thing well
###
### Usage:
###   my-script <input> <output>
###
### Options:
###   <input>   Input file to read.
###   <output>  Output file to write. Use '-' for stdout.

woudsma

import math
from bigfloat import *

class LazyCartesianProduct:
    def __init__(self, sets, context):
        self.sets = sets
        self.context = context
        self.divs = []
        self.mods = []
        self.maxSize = BigFloat.exact(1)

woudsma

# Quick and dirty script for streaming a video file to Twitch (as if it were live)
# Requirements: ffmpeg (http://www.ffmpeg.org)

# Copy-paste the function and call it in your command line
# Or add the function to ~/.bash_profile, ~/.zshrc, ..etc.

# Usage:
# twitch STREAM_KEY FILEPATH

# Example: