ultralytics 8.0.30 Docker, rect, data=*.zip updates (#832)
Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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17 changed files with 67 additions and 43 deletions
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@ -33,14 +33,14 @@ class DetectionTrainer(BaseTrainer):
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augment=mode == "train",
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cache=self.args.cache,
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pad=0 if mode == "train" else 0.5,
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rect=self.args.rect,
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rect=self.args.rect or mode=="val",
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rank=rank,
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workers=self.args.workers,
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close_mosaic=self.args.close_mosaic != 0,
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prefix=colorstr(f'{mode}: '),
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shuffle=mode == "train",
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seed=self.args.seed)[0] if self.args.v5loader else \
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build_dataloader(self.args, batch_size, img_path=dataset_path, stride=gs, rank=rank, mode=mode)[0]
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build_dataloader(self.args, batch_size, img_path=dataset_path, stride=gs, rank=rank, mode=mode, rect=mode=="val")[0]
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def preprocess_batch(self, batch):
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batch["img"] = batch["img"].to(self.device, non_blocking=True).float() / 255
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