Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 7 additions & 4 deletions references/detection/train.py
Original file line number Diff line number Diff line change
Expand Up @@ -108,20 +108,21 @@ def main(args):

# lr_scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size=args.lr_step_size, gamma=args.lr_gamma)
lr_scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, milestones=args.lr_steps, gamma=args.lr_gamma)

if args.resume:
checkpoint = torch.load(args.resume, map_location='cpu')
model_without_ddp.load_state_dict(checkpoint['model'])
optimizer.load_state_dict(checkpoint['optimizer'])
lr_scheduler.load_state_dict(checkpoint['lr_scheduler'])

args.start_epoch = checkpoint['epoch'] + 1

if args.test_only:
evaluate(model, data_loader_test, device=device)
return

print("Start training")
start_time = time.time()
for epoch in range(args.epochs):
for epoch in range(args.start_epoch, args.epochs):
if args.distributed:
train_sampler.set_epoch(epoch)
train_one_epoch(model, optimizer, data_loader, device, epoch, args.print_freq)
Expand All @@ -131,7 +132,8 @@ def main(args):
'model': model_without_ddp.state_dict(),
'optimizer': optimizer.state_dict(),
'lr_scheduler': lr_scheduler.state_dict(),
'args': args},
'args': args,
'epoch': epoch},
os.path.join(args.output_dir, 'model_{}.pth'.format(epoch)))

# evaluate after every epoch
Expand Down Expand Up @@ -171,6 +173,7 @@ def main(args):
parser.add_argument('--print-freq', default=20, type=int, help='print frequency')
parser.add_argument('--output-dir', default='.', help='path where to save')
parser.add_argument('--resume', default='', help='resume from checkpoint')
parser.add_argument('--start_epoch', default=0, type=int, help='start epoch')
parser.add_argument('--aspect-ratio-group-factor', default=3, type=int)
parser.add_argument(
"--test-only",
Expand Down