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ultralytics 8.0.103 minor fixes (#2634)

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Co-authored-by: kssion <appplus@icloud.com>
Co-authored-by: Eli Spizzichino <diramazioni@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: xbkaishui <xxkaishui@gmail.com>
This commit is contained in:
Glenn Jocher
2023-05-16 01:39:52 +02:00
committed by GitHub
parent e2e3e367a2
commit 7884098857
6 changed files with 7 additions and 13 deletions
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2
ultralytics/yolo/data/augment.py
View File

@ -128,7 +128,7 @@ class Mosaic(BaseMixTransform):
n (int, optional): The grid size, either 4 (for 2x2) or 9 (for 3x3).
"""
def __init__(self, dataset, imgsz=640, p=1.0, n=9):
def __init__(self, dataset, imgsz=640, p=1.0, n=4):
"""Initializes the object with a dataset, image size, probability, and border."""
assert 0 <= p <= 1.0, f'The probability should be in range [0, 1], but got {p}.'
assert n in (4, 9), 'grid must be equal to 4 or 9.'

3
ultralytics/yolo/data/dataset_wrappers.py
View File

@ -44,8 +44,7 @@ class MixAndRectDataset:
indexes = transform.get_indexes(self.dataset)
if not isinstance(indexes, collections.abc.Sequence):
indexes = [indexes]
mix_labels = [deepcopy(self.dataset[index]) for index in indexes]
labels['mix_labels'] = mix_labels
labels['mix_labels'] = [deepcopy(self.dataset[index]) for index in indexes]
if self.dataset.rect and isinstance(transform, LetterBox):
transform.new_shape = self.dataset.batch_shapes[self.dataset.batch[index]]
labels = transform(labels)

6
ultralytics/yolo/utils/__init__.py
View File

@ -242,13 +242,13 @@ if WINDOWS: # emoji-safe logging
LOGGER.addFilter(EmojiFilter())
def yaml_save(file='data.yaml', data=None):
def yaml_save(file='data.yaml', data={}):
"""
Save YAML data to a file.
Args:
file (str, optional): File name. Default is 'data.yaml'.
data (dict, optional): Data to save in YAML format. Default is None.
data (dict): Data to save in YAML format.
Returns:
None: Data is saved to the specified file.
@ -261,7 +261,7 @@ def yaml_save(file='data.yaml', data=None):
# Convert Path objects to strings
for k, v in data.items():
if isinstance(v, Path):
dict[k] = str(v)
data[k] = str(v)
# Dump data to file in YAML format
with open(file, 'w') as f: