Ballfish
Image augmentation library
Installation
pip install ballfish
Documentation
https://ballfish.readthedocs.io/
Example
from ballfish import create_augmentation, Datum
from random import Random
augmentation = create_augmentation(
[
# First, augment the quadrangle (quad argument)
# with geometric transformations
{
"name": "rotate",
"angle_deg": {"name": "uniform", "a": 0, "b": 360},
},
# Second, apply the projective transformation to source argument
# After this step, no more quad transformations make sense
{"name": "rasterize"},
# Third, apply raster transformations
{
"name": "noise",
"std": {"name": "truncnorm", "a": 0, "b": 1 / 10},
},
]
)
random = Random(13)
# The source argument must be a `torch.tensor` in (N, C, H, W) format
# The quad argument should be provided in a clockwise order,
# starting from the top-left corner, in (x, y) format.
result = augmentation(Datum(
source=source, quad=quad, width=64, height=64
), random)
# Transformed image and quads
print(result.quads, result.image)
1 maintainer
Metadata
1 maintainer
Release files for ballfish 0.4.1
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ballfish-0.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.8 kB
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| Size | 14.7 kB |
| Tags | Python 3 |
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