~kitor Magic Lantern scripts

A few automation scripts I wrote to automate some things in my ML development efforts. Used only on Debian running over WSL1 on Windows 10, however should be mostly generic.

Maybe they will be helpful for others. If not, at least I will have an easy way to backup and keep my env in sync between devices.

Contents

rgb2png, yuv2png

Scripts that convert raw memory dumps into PNG files.

I think I based processing on some existing script, but I can't recall the source now.

ml_deploy, ml_deploy_qemu

Scripts that will deploy ML build to card / qemu virtual card

Camera model is required as 1st argument.

If 2nd argument is zip last zip will be deployed, else only autoexec.bin and *.sym

ml_get_qemu_dir $MODEL

Returns absolute path to QEMU DIR configured for particular model.

Example usage: cd $(ml_get_qemu_dir R)

ml_card_deploy

Script that will deploy artifacts on card. Called with sudo by ml_deploy, can be called directly.

Camera model is required as 1st argument.

If 2nd argument is zip last zip will be deployed, else only autoexec.bin and *.sym

remake

Shell alias that runs make clean and then make, passing all arguments.

gcp

Shell alias to git cherry-pick --no-commit.

I just use it a lot while creating a clean implementation from "dirty" implementation branches.

ml_uart

Shell alias to sudo minicom -D /dev/ttyS${port} -b 115200

Meant to be used with WSL (thus ttyS<number>).

Port number is optional as 1st argument, defaults to 3.

ml_env

File to be sourced in .bashrc \ .zshrc to expose all the functionality in shell.

canon_bootdisk.py

A tool to make card / card image bootable on Canon EOS cameras, written by @lorenzo33324 See canon_bootdisk.md for more details.

Requirements

For ml_deploy_qemu:

• virt-make-fs
• linux-image-amd64 / linux-image-generic or equiv. if you run WSL1 (required by virt-make-fs)
• make sure that /boot and /boot/* is readable by normal user

Directory structure

$ML_DIR
 |-- bin
 |   `-- *                 ( files from this repository )
 |
 |-- artifacts             ( work dir for preparing card deployment )
 |-- artifacts_qemu        ( work dir for preparing qemu deployment )
 |
 |-- qemu-eos              ( main qemu dir )
 |-- qemu-eos-some_suffix  ( additional qemu dirs )
 |
 |-- src
 |   `-- ml                ( Magic Lantern source directory )

Configuration

see .config that I shamelessly left in repo.

Usage scenarios

enable all features in shell

source /path/to/checkout/ml_env

( or just put it in .zshrc / .bashrc)

for build-and-deploy from platform/* directories

remake && ml_deploy R

for build-and-deploy from minimal/* directories

remake MODEL=750D && ml_deploy_qemu 750D

start UART session on virtual COM5 (WSL)

ml_uart 5