ultralytics 8.0.103 minor fixes (#2634)

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

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.'

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)