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feat: Added WordGenerator dataset #760

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merged 8 commits into from
Dec 27, 2021
Merged

feat: Added WordGenerator dataset #760

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f7e139e
feat: Added WordGenerator dataset
fg-mindee Dec 26, 2021
195dd18
refactor: Renamed datasets.classification into datasets.generator
fg-mindee Dec 26, 2021
259a214
docs: Updated dataset page
fg-mindee Dec 26, 2021
3f10d73
refactor: Refactored WordGenerator
fg-mindee Dec 26, 2021
c051976
test: Added unittests
fg-mindee Dec 26, 2021
0040c0e
feat: Improved image sizing
fg-mindee Dec 26, 2021
f457b36
refactor: Refactored text synthesis
fg-mindee Dec 26, 2021
5455a2c
refactor: Refactored text img synthesis
fg-mindee Dec 26, 2021
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refactor: Refactored WordGenerator
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@fg-mindee
fg-mindee committed Dec 26, 2021
commit 3f10d7389118b775da77c39acd1272cc1997b7b9
4 changes: 2 additions & 2 deletions doctr/datasets/generator/base.py
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Expand Up @@ -123,7 +123,7 @@ def __init__(
self.vocab = vocab
self.wordlen_range = (min_chars, max_chars)
self._num_samples = num_samples
self.font_family = font_family if isinstance(font_family, list) else [font_family]
self.font_family = font_family if isinstance(font_family, list) else [font_family] # type: ignore[list-item]
# Validate fonts
if isinstance(font_family, list):
for font in self.font_family:
Expand All @@ -149,7 +149,7 @@ def _generate_string(self, min_chars: int, max_chars: int) -> str:
def __len__(self) -> int:
return self._num_samples

def _read_sample(self, index: int) -> Tuple[Any, int]:
def _read_sample(self, index: int) -> Tuple[Any, str]:
# Samples are already cached
if len(self._data) > 0:
pil_img, target = self._data[index]
Expand Down
4 changes: 1 addition & 3 deletions doctr/datasets/generator/pytorch.py
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Expand Up @@ -51,6 +51,4 @@ class WordGenerator(_WordGenerator):
sample_transforms: composable transformations that will be applied to both the image and the target
"""

def __init__(self, *args, **kwargs) -> None:
super().__init__(*args, **kwargs)
setattr(self, 'collate_fn', default_collate)
pass
11 changes: 1 addition & 10 deletions doctr/datasets/generator/tensorflow.py
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Expand Up @@ -58,13 +58,4 @@ class WordGenerator(_WordGenerator):
sample_transforms: composable transformations that will be applied to both the image and the target
"""

def __init__(self, *args, **kwargs) -> None:
super().__init__(*args, **kwargs)

@staticmethod
def collate_fn(samples):

images, targets = zip(*samples)
images = tf.stack(images, axis=0)

return images, tf.convert_to_tensor(targets)
pass