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SeamOp

CI License: MIT

seamop is a Python library and command-line tool for content-aware image resizing. It shrinks images by removing connected paths of low-energy pixels instead of scaling every pixel or cropping a fixed region.

Original (1428 × 968) Resized (1000 × 900)
Original castle image Content-aware resized castle image

The current beta supports shrinking by seam removal. Enlargement and seam insertion are not implemented.

Installation

Install from PyPI:

python -m pip install seamop

For development, use the locked uv environment:

uv sync --extra dev --frozen

Command line

Resize the smaller example to 400 by 240 pixels:

seamop resize examples/medium.jpg 400 240

This writes medium_resized_400x240.jpg in the current directory. Use --output to choose another path. Existing image outputs are not overwritten.

Preview the pixels that the same resize would remove:

seamop highlight examples/medium.jpg 400 240

Remove ten vertical seams:

seamop remove examples/medium.jpg --direction vertical --count 10

Other commands and options are available through the built-in help:

seamop --help
seamop resize --help
seamop remove --help
seamop highlight --help

CLI dimensions use WIDTH HEIGHT.

Python

resize() accepts a filesystem path, Pillow image, RGB uint8 NumPy array, or nested RGB integer list. It returns a new RGB uint8 NumPy array without mutating the input.

from PIL import Image
import seamop

result = seamop.resize(
    "examples/medium.jpg",
    width=400,
    height=240,
)

Image.fromarray(result).save("medium_resized_400x240.jpg")

Use plan() when the carved result and preview must use the same seam decisions:

resize_plan = seamop.plan(
    "examples/medium.jpg",
    width=400,
    height=240,
)

preview = resize_plan.preview()
result = resize_plan.result()

Both output methods return independent arrays. Calling either method does not change the plan.

See the Python API guide for input rules, custom energy methods, errors, and the advanced seam-calculation interface.

Documentation

Development

Run the repository checks from the project root:

uv run --frozen ruff check src tests benchmarks
uv run --frozen ruff format --check src tests benchmarks
uv run --frozen mypy
uv run --frozen pytest --cov
uv run --frozen pytest --doctest-modules src/seamop

Benchmarks run separately:

uv run --frozen pytest benchmarks

Limitations

  • Only shrinking is supported.
  • Width is reduced before height when both dimensions change.
  • Results depend on the image and selected energy method.
  • Large reductions can distort important content.

License

MIT

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