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ultralytics 8.1.15 add Python 3.12 compatibility (#8210)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Johnny <johnnynuca14@gmail.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-02-17 20:49:34 +01:00 • committed by GitHub
parent e38c7a3022
commit fbed8499da
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13 changed files with 47 additions and 40 deletions
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6
ultralytics/engine/exporter.py
View file

@ -81,7 +81,7 @@ from ultralytics.utils import (
get_default_args,
yaml_save,
)
from ultralytics.utils.checks import check_imgsz, check_is_path_safe, check_requirements, check_version
from ultralytics.utils.checks import PYTHON_VERSION, check_imgsz, check_is_path_safe, check_requirements, check_version
from ultralytics.utils.downloads import attempt_download_asset, get_github_assets
from ultralytics.utils.files import file_size, spaces_in_path
from ultralytics.utils.ops import Profile
@ -609,10 +609,8 @@ class Exporter:
ct_model = cto.palettize_weights(ct_model, config=config)
if self.args.nms and self.model.task == "detect":
if mlmodel:
import platform
# coremltools<=6.2 NMS export requires Python<3.11
check_version(platform.python_version(), "<3.11", name="Python ", hard=True)
check_version(PYTHON_VERSION, "<3.11", name="Python ", hard=True)
weights_dir = None
else:
ct_model.save(str(f)) # save otherwise weights_dir does not exist

2
ultralytics/engine/trainer.py
View file

@ -285,7 +285,7 @@ class BaseTrainer:
batch_size = self.batch_size // max(world_size, 1)
self.train_loader = self.get_dataloader(self.trainset, batch_size=batch_size, rank=RANK, mode="train")
if RANK in (-1, 0):
# NOTE: When training DOTA dataset, double batch size could get OOM cause some images got more than 2000 objects.
# Note: When training DOTA dataset, double batch size could get OOM on images with >2000 objects.
self.test_loader = self.get_dataloader(
self.testset, batch_size=batch_size if self.args.task == "obb" else batch_size * 2, rank=-1, mode="val"
)