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Scope all hubconf.py imports for torch.hub.list() (#3145)
* Scope all hubconf.py imports for torch.hub.list() * Update hubconf.py
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hubconf.py
12
hubconf.py
@ -5,15 +5,8 @@ Usage:
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model = torch.hub.load('ultralytics/yolov5', 'yolov5s')
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"""
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from pathlib import Path
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import torch
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from utils.general import check_requirements, set_logging
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dependencies = ['torch', 'yaml']
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check_requirements(Path(__file__).parent / 'requirements.txt', exclude=('tensorboard', 'pycocotools', 'thop'))
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def _create(name, pretrained=True, channels=3, classes=80, autoshape=True, verbose=True):
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"""Creates a specified YOLOv5 model
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@ -29,11 +22,16 @@ def _create(name, pretrained=True, channels=3, classes=80, autoshape=True, verbo
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Returns:
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YOLOv5 pytorch model
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"""
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from pathlib import Path
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from models.yolo import Model, attempt_load
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from utils.general import check_requirements, set_logging
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from utils.google_utils import attempt_download
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from utils.torch_utils import select_device
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check_requirements(Path(__file__).parent / 'requirements.txt', exclude=('tensorboard', 'pycocotools', 'thop'))
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set_logging(verbose=verbose)
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fname = Path(name).with_suffix('.pt') # checkpoint filename
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try:
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if pretrained and channels == 3 and classes == 80:
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