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Merged
merged 6 commits into from
Oct 6, 2020
Merged

Update release notes - 6 #2523

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d1023a8
Add release notes for diabetic retinopathy detection
NikhilBartwal Oct 2, 2020
a552dba
Add release notes for horses_or_humans
NikhilBartwal Oct 2, 2020
fe55da0
Add release notes for imagenet2012_corrupted
NikhilBartwal Oct 2, 2020
9095c2a
Add release notes for imagenet2012_real
NikhilBartwal Oct 2, 2020
ee8903a
Add release notes for imagenet2012_subset
NikhilBartwal Oct 2, 2020
4bcc593
Format fixes
NikhilBartwal Oct 3, 2020
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5 changes: 2 additions & 3 deletions tensorflow_datasets/image_classification/diabetic_retinopathy_detection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,9 +55,8 @@ def __init__(self, target_pixels=None, **kwargs):
**kwargs: keyword arguments forward to super.
"""
super(DiabeticRetinopathyDetectionConfig, self).__init__(
version=tfds.core.Version(
"3.0.0",
"New split API (https://tensorflow.org/datasets/splits)"),
version=tfds.core.Version("3.0.0"),
release_notes="New split API (https://tensorflow.org/datasets/splits)",
**kwargs)
self._target_pixels = target_pixels

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6 changes: 4 additions & 2 deletions tensorflow_datasets/image_classification/horses_or_humans.py
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Expand Up @@ -41,8 +41,10 @@
class HorsesOrHumans(tfds.core.GeneratorBasedBuilder):
"""Horses or Humans dataset."""

VERSION = tfds.core.Version(
"3.0.0", "New split API (https://tensorflow.org/datasets/splits)")
VERSION = tfds.core.Version("3.0.0")
RELEASE_NOTES = {
"3.0.0": "New split API (https://tensorflow.org/datasets/splits)",
}

def _info(self):
return tfds.core.DatasetInfo(
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15 changes: 7 additions & 8 deletions tensorflow_datasets/image_classification/imagenet2012_corrupted.py
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Expand Up @@ -98,14 +98,8 @@ def __init__(self, *, corruption_type=None, severity=1, **kwargs):
self.corruption_type = corruption_type
self.severity = severity


_VERSION = tfds.core.Version('3.1.0')

# Version history:
# 3.1.0: Implement missing corruptions. Fix crop/resize ordering, file encoding
# 0.0.1: Initial dataset.


_VERSION = tfds.core.Version('3.1.0')

def _make_builder_configs():
"""Construct a list of BuilderConfigs.

Expand Down Expand Up @@ -159,6 +153,11 @@ def _decode_and_center_crop(image_bytes):
class Imagenet2012Corrupted(Imagenet2012):
"""Corrupted ImageNet2012 dataset."""
BUILDER_CONFIGS = _make_builder_configs()
RELEASE_NOTES = {
"0.0.1": "Initial dataset",
"3.1.0":
"Implement missing corruptions. Fix crop/resize ordering, file encoding",
}

def _info(self):
"""Basic information of the dataset.
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5 changes: 4 additions & 1 deletion tensorflow_datasets/image_classification/imagenet2012_real.py
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Expand Up @@ -58,7 +58,10 @@
class Imagenet2012Real(tfds.core.GeneratorBasedBuilder):
"""ImageNet validation images with ReaL labels."""

VERSION = tfds.core.Version('1.0.0', 'Initial release.')
VERSION = tfds.core.Version('1.0.0')
RELEASE_NOTES = {
'1.0.0': 'Initial release',
}

MANUAL_DOWNLOAD_INSTRUCTIONS = """\
manual_dir should contain `ILSVRC2012_img_val.tar` file.
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4 changes: 1 addition & 3 deletions tensorflow_datasets/image_classification/imagenet2012_subset.py
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Expand Up @@ -71,8 +71,7 @@ class Imagenet2012Subset(Imagenet2012):
tfds.core.BuilderConfig( # pylint: disable=g-complex-comprehension
name=subset_size,
description='{} of total ImageNet training set.'.format(subset_size),
version=tfds.core.Version(
'5.0.0', ''),
version=tfds.core.Version('5.0.0'),
) for subset_size in SUBSET2FILES
]

Expand Down Expand Up @@ -151,4 +150,3 @@ def _generate_examples(self, archive, subset=None, validation_labels=None):
'label': label,
}
yield image_fname, record