Variopinta

Variopinta is an experimental CPU image-augmentation compiler. Pipelines are configured in Python and executed by optimized Rust kernels, with whole-pipeline planning for buffer reuse, kernel selection, and fewer Python/native crossings.

Variopinta is the feminine form of the Spanish variopinto: “varied in color or appearance,” from Italian variopinto, “varied” and “painted.” — RAE

Variopinta is pre-alpha. The public API may change between 0.y.0 releases; patch releases preserve documented signatures and data contracts unless a correctness or security fix requires otherwise.

Install

Variopinta supports CPython 3.10–3.13 on 64-bit x86 Linux with glibc 2.34 or newer and on macOS 11 or newer running natively on Apple Silicon.

python -m pip install variopinta

PyTorch is optional and needed only for ReturnTensor outputs. Platform details and source-build instructions are in Getting started.

Quick start

import numpy as np
import variopinta as vp

pipeline = vp.Pipeline(
    [
        vp.RandomCrop(256, 256),
        vp.Resize(224, 224),
        vp.HorizontalFlip(p=0.5),
        vp.Normalize(),
    ],
    seed=42,
).compile()

image = np.zeros((320, 320, 3), dtype=np.uint8)
output = pipeline(image, key=0)

print(output.shape, output.dtype)  # (224, 224, 3) float32
print(pipeline.explain())

Pipeline is the semantic reference executor. .compile() selects the optimized execution plan while keeping the same call signature and keyed result. Use pipeline.explain() to inspect the operations, buffers, copies, fusion, dtypes, layouts, and target routes in that plan.

Repeated calls with the same pipeline, input, seed, and key are deterministic for the same installed release and execution environment. Exact replay is not guaranteed across releases, builds, or platforms.

Documentation

Current scope includes images and semantic masks with NumPy, encoded-buffer, and local-path inputs. It does not include boxes, keypoints, GPU execution, native batches, or Python callbacks inside a pipeline.

Project information

Variopinta is licensed under the Apache License 2.0. Native-wheel attributions are in THIRD_PARTY_NOTICES.

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