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ultralytics 8.0.109 HUB training fix (#2818)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-05-25 06:44:31 +02:00 committed by GitHub
parent ffc0e8ccf7
commit f23a03596d
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4 changed files with 9 additions and 9 deletions
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2
tests/test_cli.py
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@ -29,7 +29,7 @@ def test_special_modes():
@pytest.mark.parametrize('task,model,data', TASK_ARGS)
def test_train(task, model, data):
run(f'yolo train {task} model={model}.yaml data={data} imgsz=32 epochs=1')
run(f'yolo train {task} model={model}.yaml data={data} imgsz=32 epochs=1 cache=disk')
@pytest.mark.parametrize('task,model,data', TASK_ARGS)

4
tests/test_python.py
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@ -108,13 +108,13 @@ def test_amp():
def test_train_scratch():
model = YOLO(CFG)
model.train(data='coco8.yaml', epochs=1, imgsz=32)
model.train(data='coco8.yaml', epochs=1, imgsz=32, cache='disk') # test disk caching
model(SOURCE)
def test_train_pretrained():
model = YOLO(MODEL)
model.train(data='coco8.yaml', epochs=1, imgsz=32)
model.train(data='coco8.yaml', epochs=1, imgsz=32, cache='ram') # test RAM caching
model(SOURCE)

2
ultralytics/__init__.py
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@ -1,6 +1,6 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
__version__ = '8.0.108'
__version__ = '8.0.109'
from ultralytics.hub import start
from ultralytics.vit.rtdetr import RTDETR

10
ultralytics/yolo/data/base.py
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@ -54,7 +54,7 @@ class BaseDataset(Dataset):
hyp=DEFAULT_CFG,
prefix='',
rect=False,
batch_size=None,
batch_size=16,
stride=32,
pad=0.5,
single_cls=False,
@ -77,6 +77,10 @@ class BaseDataset(Dataset):
assert self.batch_size is not None
self.set_rectangle()
# Buffer thread for mosaic images
self.buffer = [] # buffer size = batch size
self.max_buffer_length = min((self.ni, self.batch_size * 8, 1000)) if self.augment else 0
# Cache stuff
if cache == 'ram' and not self.check_cache_ram():
cache = False
@ -88,10 +92,6 @@ class BaseDataset(Dataset):
# Transforms
self.transforms = self.build_transforms(hyp=hyp)
# Buffer thread for mosaic images
self.buffer = [] # buffer size = batch size
self.max_buffer_length = min((self.ni, self.batch_size * 8, 1000)) if self.augment else 0
def get_img_files(self, img_path):
"""Read image files."""
try: