flatiron 0.26.0

Standardized computer vision pipeline framework with a chainable API and procedurally defined model architecture.

Introduction

Standardized computer vision pipeline framework with a chainable API and procedurally defined model architecture.

See documentation for details.

See pipeline notebook for a demo of pipelines.

See dataset notebook for a demo of the Dataset classes.

See logging notebook for a demo of the logging tools.

Installation for Developers

Docker

1. Install docker-desktop
2. Ensure docker-desktop has at least 4 GB of memory allocated to it.
3. git clone [e-mail]:theNewFlesh/flatiron.git
4. cd flatiron
5. chmod +x bin/flatiron
6. bin/flatiron docker-start
   • If building on a M1 Mac run export DOCKER_DEFAULT_PLATFORM=linux/amd64 first.

The service should take a few minutes to start up.

Run bin/flatiron --help for more help on the command line tool.

Secret Env Setup

The secret-env file is a environment file which holds various secrets used by pyproject.toml and CI.

ZSH Setup

1. bin/flatiron must be run from this repository's top level directory.

2. Therefore, if using zsh, it is recommended that you paste the following line in your ~/.zshrc file:

   • alias flatiron="cd [parent dir]/flatiron; bin/flatiron"
   • Replace [parent dir] with the parent directory of this repository

3. Consider adding the following line to your ~/.zshrc if you are using a M1 Mac:

   • export DOCKER_DEFAULT_PLATFORM=linux/amd64

4. Running the zsh-complete command will enable tab completions of the cli commands, in the next shell session.

   For example:

   • flatiron [tab] will show you all the cli options, which you can press tab to cycle through
   • flatiron docker-[tab] will show you only the cli options that begin with "docker-"

Installation for Production

Python

Command	Effect
pip install flatiron	installs flatiron
pip install flatiron[tensorflow]	installs flatiron with tensorflow
pip install flatiron[torch]	installs flatiron with pytorch
pip install flatiron[all]	installs flatiron with tensorflow and pytorch

If you are on Debian-based Linux and you run into C library issues such as with OpenEXR, the following may help:

apt update && \
apt install --fix-missing -y python3.12-dev && \
apt install -y \
    build-essential \
    g++ \
    gcc \
    zlib1g-dev

For OpenEXR you will also need this:

apt install -y \
    libopenexr-dev \
    openexr

Please see the prod.dockerfile for an official example of how to build a docker image with flatiron.

Docker

1. Install docker-desktop
2. docker pull theNewFlesh/flatiron:[mode]-[version]

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Quickstart Guide

This repository contains a suite commands for the whole development process. This includes everything from testing, to documentation generation and publishing pip packages.

These commands can be accessed through:

• The VSCode task runner
• The VSCode task runner side bar
• A terminal running on the host OS
• A terminal within this repositories docker container

Running the zsh-complete command will enable tab completions of the CLI. See the zsh setup section for more information.

Command Groups

Development commands are grouped by one of 10 prefixes:

Command	Description
build	Commands for building packages for testing and pip publishing
docker	Common docker commands such as build, start and stop
docs	Commands for generating documentation and code metrics
library	Commands for managing python package dependencies
session	Commands for starting interactive sessions such as jupyter lab and python
state	Command to display the current state of the repo and container
test	Commands for running tests, linter and type annotations
version	Commands for bumping project versions
quickstart	Display this quickstart guide
zsh	Commands for running a zsh session in the container and generating zsh completions

Common Commands

Here are some frequently used commands to get you started:

Command	Description
docker-restart	Restart container
docker-start	Start container
docker-stop	Stop container
docs-full	Generate documentation, coverage report, diagram and code
library-add	Add a given package to a given dependency group
library-graph-dev	Graph dependencies in dev environment
library-remove	Remove a given package from a given dependency group
library-search	Search for pip packages
library-update	Update dev dependencies
session-lab	Run jupyter lab server
state	State of
test-dev	Run all tests
test-lint	Run linting and type checking
zsh	Run ZSH session inside container
zsh-complete	Generate ZSH completion script

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Development CLI

bin/flatiron is a command line interface (defined in cli.py) that works with any version of python 2.7 and above, as it has no dependencies. Commands generally do not expect any arguments or flags.

Its usage pattern is: bin/flatiron COMMAND [-a --args]=ARGS [-h --help] [--dryrun]

Commands

The following is a complete list of all available development commands:

Command	Description
build-edit-prod-dockerfile	Edit prod.dockefile to use local package
build-local-package	Generate local pip package in docker/dist
build-package	Build production version of repo for publishing
build-prod	Publish pip package of repo to PyPi
build-publish	Run production tests first then publish pip package of repo to PyPi
build-test	Build test version of repo for prod testing
docker-build	Build development image
docker-build-from-cache	Build development image from registry cache
docker-build-no-cache	Build development image without cache
docker-build-prod	Build production image
docker-build-prod-no-cache	Build production image without cache
docker-container	Display the Docker container id
docker-destroy	Shutdown container and destroy its image
docker-destroy-prod	Shutdown production container and destroy its image
docker-image	Display the Docker image id
docker-prod	Start production container
docker-pull-dev	Pull development image from Docker registry
docker-pull-prod	Pull production image from Docker registry
docker-push-dev	Push development image to Docker registry
docker-push-dev-latest	Push development image to Docker registry with dev-latest tag
docker-push-prod	Push production image to Docker registry
docker-push-prod-latest	Push production image to Docker registry with prod-latest tag
docker-remove	Remove Docker image
docker-restart	Restart container
docker-start	Start container
docker-stop	Stop container
docs	Generate sphinx documentation
docs-architecture	Generate architecture.svg diagram from all import statements
docs-full	Generate documentation, coverage report, diagram and code
docs-metrics	Generate code metrics report, plots and tables
library-add	Add a given package to a given dependency group
library-graph-dev	Graph dependencies in dev environment
library-graph-prod	Graph dependencies in prod environment
library-install-dev	Install all dependencies into dev environment
library-install-prod	Install all dependencies into prod environment
library-list-dev	List packages in dev environment
library-list-prod	List packages in prod environment
library-lock-dev	Resolve dev.lock file
library-lock-prod	Resolve prod.lock file
library-remove	Remove a given package from a given dependency group
library-search	Search for pip packages
library-sync-dev	Sync dev environment with packages listed in dev.lock
library-sync-prod	Sync prod environment with packages listed in prod.lock
library-update	Update dev dependencies
library-update-pdm	Update PDM
quickstart	Display quickstart guide
session-lab	Run jupyter lab server
session-python	Run python session with dev dependencies
state	State of repository and Docker container
test-coverage	Generate test coverage report
test-dev	Run all tests
test-fast	Test all code excepts tests marked with SKIP_SLOWS_TESTS decorator
test-format	Format all python files
test-lint	Run linting and type checking
test-prod	Run tests across all support python versions
version	Full resolution of repo: dependencies, linting, tests, docs, etc
version-bump-major	Bump pyproject major version
version-bump-minor	Bump pyproject minor version
version-bump-patch	Bump pyproject patch version
version-commit	Tag with version and commit changes to master
zsh	Run ZSH session inside Docker container
zsh-complete	Generate oh-my-zsh completions
zsh-root	Run ZSH session as root inside Docker container

Flags

Short	Long	Description
-a	--args	Additional arguments, this can generally be ignored
-h	--help	Prints command help message to stdout
	--dryrun	Prints command that would otherwise be run to stdout

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Production CLI

flatiron comes with a command line interface defined in command.py.

Its usage pattern is: flatiron COMMAND [ARGS] [FLAGS] [-h --help]

Commands

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bash-completion

Prints BASH completion code to be written to a _flatiron completion file

Usage: flatiron bash-completion

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zsh-completion

Prints ZSH completion code to be written to a _flatiron completion file

Usage: flatiron zsh-completion