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ultralytics 8.0.30 Docker, rect, data=*.zip updates (#832)

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This commit is contained in:
Glenn Jocher
2023-02-06 21:57:10 +04:00
committed by GitHub
parent 09265b17d7
commit 64f247d692
17 changed files with 67 additions and 43 deletions
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4
ultralytics/yolo/v8/detect/train.py
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@ -33,14 +33,14 @@ class DetectionTrainer(BaseTrainer):
augment=mode == "train",
cache=self.args.cache,
pad=0 if mode == "train" else 0.5,
rect=self.args.rect,
rect=self.args.rect or mode=="val",
rank=rank,
workers=self.args.workers,
close_mosaic=self.args.close_mosaic != 0,
prefix=colorstr(f'{mode}: '),
shuffle=mode == "train",
seed=self.args.seed)[0] if self.args.v5loader else \
build_dataloader(self.args, batch_size, img_path=dataset_path, stride=gs, rank=rank, mode=mode)[0]
build_dataloader(self.args, batch_size, img_path=dataset_path, stride=gs, rank=rank, mode=mode, rect=mode=="val")[0]
def preprocess_batch(self, batch):
batch["img"] = batch["img"].to(self.device, non_blocking=True).float() / 255

3
ultralytics/yolo/v8/detect/val.py
View File

@ -22,7 +22,6 @@ class DetectionValidator(BaseValidator):
def __init__(self, dataloader=None, save_dir=None, pbar=None, logger=None, args=None):
super().__init__(dataloader, save_dir, pbar, logger, args)
self.args.task = 'detect'
self.data_dict = yaml_load(check_file(self.args.data), append_filename=True) if self.args.data else None
self.is_coco = False
self.class_map = None
self.metrics = DetMetrics(save_dir=self.save_dir)
@ -172,7 +171,7 @@ class DetectionValidator(BaseValidator):
hyp=vars(self.args),
cache=False,
pad=0.5,
rect=True,
rect=self.args.rect,
workers=self.args.workers,
prefix=colorstr(f'{self.args.mode}: '),
shuffle=False,