Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-04-03 11:31:31 +02:00
parent d79a54a4be
commit 5170cd36b0
1 changed files with 1 additions and 3 deletions
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train.py
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@ -40,8 +40,6 @@ def train(
# Initialize model # Initialize model
model = Darknet(cfg, img_size).to(device) model = Darknet(cfg, img_size).to(device)
# for m in model.modules():
# weights_init_normal(m) # set weight distributions
# Optimizer # Optimizer
lr0 = 0.001 # initial learning rate lr0 = 0.001 # initial learning rate
@ -56,7 +54,7 @@ def train(
if resume: # Load previously saved model if resume: # Load previously saved model
if transfer: # Transfer learning if transfer: # Transfer learning
chkpt = torch.load(weights + 'yolov3.pt', map_location=device) chkpt = torch.load(weights + 'yolov3.pt', map_location=device)
model.load_state_dict({k: v for k, v in chkpt['model'].items() if v.numel() > 1 and v.shape[0] != nf}, model.load_state_dict({k: v for k, v in chkpt['model'].items() if v.numel() > 1 and v.shape[0] != 255},
strict=False) strict=False)
for p in model.parameters(): for p in model.parameters():
p.requires_grad = True if p.shape[0] == nf else False p.requires_grad = True if p.shape[0] == nf else False