autocrop-rs
Finds the actual content inside a screenshot and crops away letterbox bars, app chrome and meme text, while leaving photos, art and manga pages untouched. Python bindings for the Rust autocrop crate: the package installs as autocrop-rs, imports as autocrop_rs and ships the command line as uvx autocrop-rs.
Example
A phone screenshot of a tweet with an embedded stream clip (1194 x 2560), the
crop autocrop writes (1194 x 670), and a debug overlay showing the row and
column profiles the detector works from together with the chosen box.
| input | crop | debug overlay |
|---|---|---|
 |
 |
 |
$ uvx autocrop-rs example.jpg --out out --time
example.jpg: chrome score=0.86 box=Some((0, 822, 1194, 1492))
decode 16.6 ms, detect 11.0 ms (1194x2560)
Build and test
Rust toolchain required (the extension is compiled on install):
cd python
uv sync # builds the extension into the venv via maturin
uv run pytest
uv sync --reinstall-package autocrop-rs # after changing Rust code (uv caches the build)
Released wheels are on PyPI: pip install autocrop-rs (or uv add autocrop-rs). To build one locally: uv run maturin build --release. The
wheel is abi3 for CPython 3.11 and newer.
Usage
import autocrop_rs
result = autocrop_rs.detect_file("screenshot.jpg")
if result: # truthy when a crop was found
x0, y0, x1, y1 = result.box # original pixel coordinates
print(result.reason, result.score)
# Encoded bytes (e.g. straight from an HTTP response or a database blob)
result = autocrop_rs.detect_bytes(data)
# An already decoded HxWx3 uint8 RGB array (numpy, or anything with the buffer protocol)
import numpy as np
from PIL import Image
result = autocrop_rs.detect_array(np.asarray(Image.open("screenshot.jpg").convert("RGB")))
# Detect and write the crop in one call (format by extension); writes nothing when box is None
autocrop_rs.crop_file("screenshot.jpg", "out/screenshot.png")
# Bytes in, bytes out: no decoding or re-encoding on the Python side
result, png = autocrop_rs.crop_bytes(data) # PNG by default
result, jpg = autocrop_rs.crop_bytes(data, format="jpeg", quality=85)
result = autocrop_rs.crop_bytes_to_file(data, "out/screenshot.webp") # format by extension
# Thresholds
params = autocrop_rs.Params(accept_score=0.5)
result = autocrop_rs.detect_file("screenshot.jpg", params)
params.to_dict() # every field and its value
All four functions release the GIL while decoding and detecting, so they can run in a thread pool.
1 maintainer
Metadata
1 maintainer
Release files for autocrop-rs 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| autocrop_rs-0.1.1.tar.gz | 893.1 kB | With provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| autocrop_rs-0.1.1-cp311-abi3-win_amd64.whl | CPython 3.11 | abi3 | Windows x86-64 | Details |
| autocrop_rs-0.1.1-cp311-abi3-musllinux_1_2_x86_64.whl | CPython 3.11 | abi3 | Linux musl 1.2+ x86-64 | Details |
| autocrop_rs-0.1.1-cp311-abi3-musllinux_1_2_aarch64.whl | CPython 3.11 | abi3 | Linux musl 1.2+ ARM64 | Details |
| autocrop_rs-0.1.1-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.11 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| autocrop_rs-0.1.1-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.11 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| autocrop_rs-0.1.1-cp311-abi3-macosx_11_0_arm64.whl | CPython 3.11 | abi3 | macOS 11.0+ ARM64 | Details |
| autocrop_rs-0.1.1-cp311-abi3-macosx_10_12_x86_64.whl | CPython 3.11 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 7.5 MB
Release files / autocrop_rs-0.1.1.tar.gz
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