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added binarize preprocessing function #156

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merged 2 commits into from
Mar 26, 2021
Merged

added binarize preprocessing function #156

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51ac166
added binarize preprocessing function
k-dominik Mar 22, 2021
4e0ad14
Merge branch 'master' into preproc-binarize
m-novikov Mar 26, 2021
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10 changes: 10 additions & 0 deletions tests/test_server/test_prediction_pipeline/test_preprocessing.py
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Expand Up @@ -51,6 +51,16 @@ def test_zero_mean_unit_across_axes():
xr.testing.assert_allclose(expected, result[0])


def test_binarize():
binarize_spec = Preprocessing(name="binarize", kwargs={"threshold": 14})
data = xr.DataArray(np.arange(30).reshape(2, 3, 5), dims=("x", "y", "c"))
expected = xr.zeros_like(data)
expected[{"x": slice(1, None)}] = 1
preprocessing = make_preprocessing([binarize_spec])
result = preprocessing(data)
xr.testing.assert_allclose(expected, result)


def test_unknown_preprocessing_should_raise():
mypreprocessing = Preprocessing(name="mycoolpreprocessing", kwargs={"axes": ("x", "y")})
with pytest.raises(NotImplementedError):
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5 changes: 5 additions & 0 deletions tiktorch/server/prediction_pipeline/_preprocessing.py
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Expand Up @@ -29,6 +29,10 @@ def zero_mean_unit_variance(tensor: xr.DataArray, axes=None, eps=1.0e-6, mode="p
return (tensor - mean) / (std + 1.0e-6)


def binarize(tensor: xr.DataArray, *, threshold) -> xr.DataArray:
return tensor > threshold


def ensure_dtype(tensor: xr.DataArray, *, dtype):
"""
Convert array to a given datatype
Expand All @@ -46,6 +50,7 @@ def add_batch_dim(tensor: xr.DataArray):
KNOWN_PREPROCESSING = {
"scale_linear": scale_linear,
"zero_mean_unit_variance": zero_mean_unit_variance,
"binarize": binarize,
"__tiktorch_add_batch_dim": add_batch_dim,
"__tiktorch_ensure_dtype": ensure_dtype,
}
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