@ -111,7 +111,7 @@ def train(
for g in optimizer.param_groups:
g['lr'] = lr
# Freeze darknet53.conv.74 layers for first epoch
# Freeze darknet53.conv.74 for first epoch
if freeze_backbone:
if epoch == 0:
for i, (name, p) in enumerate(model.named_parameters()):