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Fix --data from_HUB.zip #4732

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Sep 9, 2021
Merged

Fix --data from_HUB.zip #4732

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6 changes: 3 additions & 3 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@
from utils.datasets import create_dataloader
from utils.general import labels_to_class_weights, increment_path, labels_to_image_weights, init_seeds, \
strip_optimizer, get_latest_run, check_dataset, check_git_status, check_img_size, check_requirements, \
check_yaml, check_suffix, print_mutation, set_logging, one_cycle, colorstr, methods
check_file, check_yaml, check_suffix, print_mutation, set_logging, one_cycle, colorstr, methods
from utils.downloads import attempt_download
from utils.loss import ComputeLoss
from utils.plots import plot_labels, plot_evolve
Expand Down Expand Up @@ -105,6 +105,7 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
is_coco = data.endswith('coco.yaml') and nc == 80 # COCO dataset

# Model
check_suffix(weights, '.pt') # check weights
pretrained = weights.endswith('.pt')
if pretrained:
with torch_distributed_zero_first(RANK):
Expand Down Expand Up @@ -484,8 +485,7 @@ def main(opt, callbacks=Callbacks()):
opt.cfg, opt.weights, opt.resume = '', ckpt, True # reinstate
LOGGER.info(f'Resuming training from {ckpt}')
else:
check_suffix(opt.weights, '.pt') # check weights
opt.data, opt.cfg, opt.hyp = check_yaml(opt.data), check_yaml(opt.cfg), check_yaml(opt.hyp) # check YAMLs
opt.data, opt.cfg, opt.hyp = check_file(opt.data), check_yaml(opt.cfg), check_yaml(opt.hyp) # check YAMLs
assert len(opt.cfg) or len(opt.weights), 'either --cfg or --weights must be specified'
if opt.evolve:
opt.project = 'runs/evolve'
Expand Down