Image Pipeline

Modular Python framework for chaining image processing steps after Darktable export.

Each pipeline is a Python script that defines a DAG of processing steps. Every step writes its output to a numbered subfolder inside a timestamped run directory.

Requirements

Python 3.11+
ImageMagick (magick or convert on PATH)

Installation

cd /path/to/imagepipeline
pip install -e ".[dev]"

Quick Start

Edit the input path in pipelines/example_grayscale.py, then run:

python pipelines/example_grayscale.py

Or from Python:

from pathlib import Path
from imagepipeline import Pipeline

with Pipeline(name="my_run", input_dir=Path("/path/to/export")) as p:
    gray = p.step("imagemagick_grayscale", inputs="input")
    p.run()

Output Structure

Each run creates a folder like my_run_20260527143022/:

my_run_20260527143022/
├── pipeline_manifest.json
├── input/                      # symlinks to source images
├── imagemagick_grayscale_01/
│   └── photo.jpg
└── ...

Step folders are named {module_name}_{nn} (two-digit counter per module name).

Writing Pipelines

Pipelines are plain Python scripts. Reference previous steps via StepRef objects returned by p.step():

with Pipeline(name="colorsplash", input_dir=INPUT) as p:
    rembg_out = p.step("rembg", inputs="input")
    bw = p.step("imagemagick_grayscale", inputs="input")
    combined = p.step("composite", inputs=[bw, rembg_out], mode="foreground_over")
    p.step("darktable_style", inputs=combined, style="vintage.dtstyle")
    p.run()

"input" refers to the original input directory
Parameters are passed as kwargs and validated against each module's schema
Multiple uses of the same module get separate numbered folders

Adding Modules

See docs/MODULE_DEVELOPMENT.md.

Tests

pytest

1.9 KiB Raw Permalink Blame History