MX8: bounded data runtime (Rust) exposed to Python.
Project description
mx8 (Python)
This is the Python package for MX8 (built with PyO3 + maturin).
Install (from wheel)
Once you have a wheel (from CI or local build):
python -m venv .venv && . .venv/bin/activatepip install mx8-*.whl
Quickstart (local, no S3)
import mx8
mx8.pack_dir(
"/path/to/imagefolder",
out="/path/to/mx8-dataset",
shard_mb=512,
label_mode="imagefolder",
require_labels=True,
)
loader = mx8.vision.ImageFolderLoader(
"/path/to/mx8-dataset@refresh",
batch_size_samples=64,
resize_hw=(224, 224), # (H,W); optional
)
print(loader.classes) # ["cat", "dog", ...] if labels.tsv exists
for images, labels in loader:
pass
Labels (optional)
label_mode="imagefolder" is designed to scale:
- Per-sample records reference a numeric
label_id(u64), not a repeated string. - The human-readable mapping is stored once at
out/_mx8/labels.tsv.
If your input layout is mixed (files directly under the prefix and subfolders), label_mode="auto" may disable ImageFolder labeling. To enforce ImageFolder semantics, use:
mx8.pack_dir(..., label_mode="imagefolder", require_labels=True)
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