geerlingguy

# For more options and information see
# http://rpf.io/configtxt
# Some settings may impact device functionality. See link above for details

# uncomment if you get no picture on HDMI for a default "safe" mode
#hdmi_safe=1

# uncomment this if your display has a black border of unused pixels visible
# and your display can output without overscan
disable_overscan=1

geerlingguy

Project Title Here

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Notes

TODO.

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Metadata

geerlingguy

#!/bin/bash

# Bash function to append contents of a given text file to an output file.
file_compile() {
    file=$1
    filename=$(basename "$file")
    output_file="txt-file-output.txt"

    printf "Adding contents of: $filename\n"

geerlingguy

# Run this playbook with ansible-playbook -i inventory setup.yml
# In the inventory file, create a group named [rpi] with all the Pis in it
---
- hosts: rpi
  become: true

  vars:
    lcd_library_repo: 'https://github.com/geerlingguy/SKU_RM0004.git'
    lcd_library_version: 'jeff-custom'

geerlingguy

#!/bin/bash
#
# This script requires HandBrakeCLI. On macOS, at least, you need to download
# and install it separately from Handbrake.
#
# See: https://handbrake.fr/downloads2.php

if [ -z "$1" ] ; then
    TRANSCODEDIR="."
else

geerlingguy

---
- hosts: webserver
  become: true
  gather_facts: false

  vars:
    # API token should be created with cache_purge permissions.
    cloudflare_purge_zone: [zone id from cloudflare]
    cloudflare_purge_token: "{{ lookup('env','CLOUDFLARE_PURGE_TOKEN') }}"
    cloudflare_purge_body:

geerlingguy

# First install Docker and docker-compose following this guide:
# https://docs.docker.com/engine/install/ubuntu/
#
# Make sure you add your user to the `docker` group:
sudo usermod -aG docker $USER
# ...then log out and log back in to make that take effect. (I actually had to reboot, le sigh)

# Second install the NVIDIA Container Toolkit following this guide:
# https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#setting-up-nvidia-container-toolkit

geerlingguy

# Note: This will only work on (which?) GPUs.

# Install Conda (latest from https://docs.conda.io/en/latest/miniconda.html#linux-installers)
wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-Linux-x86_64.sh
bash Miniconda3-py39_4.12.0-Linux-x86_64.sh
# follow the prompts, restart your Terminal session, and run `conda` to confirm it installed.

# Install git and curl, and clone the stable-diffusion repo
sudo apt install -y git curl
cd Downloads

geerlingguy

# Note: This will only work on Navi21 GPUs (6800/6900+).
# See: https://github.com/RadeonOpenCompute/ROCm/issues/1668#issuecomment-1043994570

# Install Conda (latest from https://docs.conda.io/en/latest/miniconda.html#linux-installers)
wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-Linux-x86_64.sh
bash Miniconda3-py39_4.12.0-Linux-x86_64.sh
# follow the prompts to install it, and run `conda` to make sure it's working.

# Install git and curl, and clone the stable-diffusion repo
sudo apt install -y git curl

geerlingguy

# Download the pivariety driver install script and make it executable
wget -O install_pivariety_pkgs.sh https://github.com/ArduCAM/Arducam-Pivariety-V4L2-Driver/releases/download/install_script/install_pivariety_pkgs.sh
chmod +x install_pivariety_pkgs.sh

# Install libcamera dev and apps
./install_pivariety_pkgs.sh -p libcamera_dev
./install_pivariety_pkgs.sh -p libcamera_apps

# Install the Hawk-Eye kernel driver
./install_pivariety_pkgs.sh -p 64mp_pi_hawk_eye_kernel_driver