Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-04-03 14:54:39 +02:00
parent 5b7325bd06
commit 0aff657e19
1 changed files with 2 additions and 2 deletions
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4
train.py
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@ -53,7 +53,7 @@ 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-spp.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] != 255}, 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():
@ -99,9 +99,9 @@ def train(
sampler=sampler) sampler=sampler)
# Start training # Start training
nB = len(dataloader)
t = time.time() t = time.time()
model_info(model) model_info(model)
nB = len(dataloader)
n_burnin = min(round(nB / 5 + 1), 1000) # burn-in batches n_burnin = min(round(nB / 5 + 1), 1000) # burn-in batches
for epoch in range(start_epoch, epochs): for epoch in range(start_epoch, epochs):
model.train() model.train()