Rename `utils/datasets.py` > `utils/dataloaders.py` (#7799)
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@ -39,7 +39,7 @@ if str(ROOT) not in sys.path:
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ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative
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from models.common import DetectMultiBackend
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from utils.datasets import IMG_FORMATS, VID_FORMATS, LoadImages, LoadStreams
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from utils.dataloaders import IMG_FORMATS, VID_FORMATS, LoadImages, LoadStreams
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from utils.general import (LOGGER, check_file, check_img_size, check_imshow, check_requirements, colorstr, cv2,
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increment_path, non_max_suppression, print_args, scale_coords, strip_optimizer, xyxy2xywh)
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from utils.plots import Annotator, colors, save_one_box
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@ -65,7 +65,7 @@ if platform.system() != 'Windows':
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from models.experimental import attempt_load
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from models.yolo import Detect
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from utils.datasets import LoadImages
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from utils.dataloaders import LoadImages
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from utils.general import (LOGGER, check_dataset, check_img_size, check_requirements, check_version, colorstr,
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file_size, print_args, url2file)
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from utils.torch_utils import select_device
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@ -21,7 +21,7 @@ import yaml
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from PIL import Image
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from torch.cuda import amp
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from utils.datasets import exif_transpose, letterbox
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from utils.dataloaders import exif_transpose, letterbox
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from utils.general import (LOGGER, check_requirements, check_suffix, check_version, colorstr, increment_path,
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make_divisible, non_max_suppression, scale_coords, xywh2xyxy, xyxy2xywh)
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from utils.plots import Annotator, colors, save_one_box
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2
train.py
2
train.py
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@ -44,7 +44,7 @@ from models.yolo import Model
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from utils.autoanchor import check_anchors
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from utils.autobatch import check_train_batch_size
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from utils.callbacks import Callbacks
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from utils.datasets import create_dataloader
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from utils.dataloaders import create_dataloader
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from utils.downloads import attempt_download
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from utils.general import (LOGGER, check_dataset, check_file, check_git_status, check_img_size, check_requirements,
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check_suffix, check_version, check_yaml, colorstr, get_latest_run, increment_path,
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@ -113,7 +113,7 @@ def kmean_anchors(dataset='./data/coco128.yaml', n=9, img_size=640, thr=4.0, gen
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if isinstance(dataset, str): # *.yaml file
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with open(dataset, errors='ignore') as f:
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data_dict = yaml.safe_load(f) # model dict
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from utils.datasets import LoadImagesAndLabels
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from utils.dataloaders import LoadImagesAndLabels
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dataset = LoadImagesAndLabels(data_dict['train'], augment=True, rect=True)
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# Get label wh
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@ -15,7 +15,7 @@ ROOT = FILE.parents[3] # YOLOv5 root directory
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if str(ROOT) not in sys.path:
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sys.path.append(str(ROOT)) # add ROOT to PATH
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from utils.datasets import LoadImagesAndLabels, img2label_paths
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from utils.dataloaders import LoadImagesAndLabels, img2label_paths
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from utils.general import LOGGER, check_dataset, check_file
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try:
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2
val.py
2
val.py
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@ -37,7 +37,7 @@ ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative
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from models.common import DetectMultiBackend
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from utils.callbacks import Callbacks
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from utils.datasets import create_dataloader
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from utils.dataloaders import create_dataloader
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from utils.general import (LOGGER, check_dataset, check_img_size, check_requirements, check_yaml,
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coco80_to_coco91_class, colorstr, increment_path, non_max_suppression, print_args,
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scale_coords, xywh2xyxy, xyxy2xywh)
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