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Merged
merged 1 commit into from
Jun 17, 2021
Merged

Update train.py #3667

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15 changes: 9 additions & 6 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm

import test # import test.py to get mAP after each epoch
import test # for end-of-epoch mAP
from models.experimental import attempt_load
from models.yolo import Model
from utils.autoanchor import check_anchors
Expand All @@ -39,7 +39,11 @@
logger = logging.getLogger(__name__)


def train(hyp, opt, device, tb_writer=None):
def train(hyp,
opt,
device,
tb_writer=None
):
logger.info(colorstr('hyperparameters: ') + ', '.join(f'{k}={v}' for k, v in hyp.items()))
save_dir, epochs, batch_size, total_batch_size, weights, rank, single_cls = \
Path(opt.save_dir), opt.epochs, opt.batch_size, opt.total_batch_size, opt.weights, opt.global_rank, \
Expand Down Expand Up @@ -341,7 +345,7 @@ def train(hyp, opt, device, tb_writer=None):
save_dir.glob('train*.jpg') if x.exists()]})

# end batch ------------------------------------------------------------------------------------------------

# Scheduler
lr = [x['lr'] for x in optimizer.param_groups] # for tensorboard
scheduler.step()
Expand Down Expand Up @@ -404,12 +408,11 @@ def train(hyp, opt, device, tb_writer=None):
torch.save(ckpt, best)
if wandb_logger.wandb:
if ((epoch + 1) % opt.save_period == 0 and not final_epoch) and opt.save_period != -1:
wandb_logger.log_model(
last.parent, opt, epoch, fi, best_model=best_fitness == fi)
wandb_logger.log_model(last.parent, opt, epoch, fi, best_model=best_fitness == fi)
del ckpt

# end epoch ----------------------------------------------------------------------------------------------------
# end training
# end training -----------------------------------------------------------------------------------------------------
if rank in [-1, 0]:
logger.info(f'{epoch - start_epoch + 1} epochs completed in {(time.time() - t0) / 3600:.3f} hours.\n')
if plots:
Expand Down