Add new get_save_dir() function (#4602)
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6 changed files with 35 additions and 39 deletions
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@ -26,12 +26,11 @@ import numpy as np
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import torch
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from tqdm import tqdm
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from ultralytics.cfg import get_cfg
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from ultralytics.cfg import get_cfg, get_save_dir
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from ultralytics.data.utils import check_cls_dataset, check_det_dataset
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from ultralytics.nn.autobackend import AutoBackend
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from ultralytics.utils import LOGGER, RANK, SETTINGS, TQDM_BAR_FORMAT, callbacks, colorstr, emojis
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from ultralytics.utils import LOGGER, TQDM_BAR_FORMAT, callbacks, colorstr, emojis
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from ultralytics.utils.checks import check_imgsz
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from ultralytics.utils.files import increment_path
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from ultralytics.utils.ops import Profile
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from ultralytics.utils.torch_utils import de_parallel, select_device, smart_inference_mode
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@ -71,7 +70,7 @@ class BaseValidator:
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Args:
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dataloader (torch.utils.data.DataLoader): Dataloader to be used for validation.
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save_dir (Path): Directory to save results.
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save_dir (Path, optional): Directory to save results.
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pbar (tqdm.tqdm): Progress bar for displaying progress.
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args (SimpleNamespace): Configuration for the validator.
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_callbacks (dict): Dictionary to store various callback functions.
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@ -93,12 +92,8 @@ class BaseValidator:
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self.jdict = None
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self.speed = {'preprocess': 0.0, 'inference': 0.0, 'loss': 0.0, 'postprocess': 0.0}
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project = self.args.project or Path(SETTINGS['runs_dir']) / self.args.task
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name = self.args.name or f'{self.args.mode}'
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self.save_dir = save_dir or increment_path(Path(project) / name,
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exist_ok=self.args.exist_ok if RANK in (-1, 0) else True)
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self.save_dir = save_dir or get_save_dir(self.args)
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(self.save_dir / 'labels' if self.args.save_txt else self.save_dir).mkdir(parents=True, exist_ok=True)
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if self.args.conf is None:
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self.args.conf = 0.001 # default conf=0.001
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