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car-detection-bayes
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Update train.py 

solve the Multi-GPU --resume Error #138
https://github.com/ultralytics/yolov3/issues/138
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perry0418 2019-03-21 12:02:57 +08:00 committed by GitHub
parent 2cd6805063
commit 35396adc9c
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1 changed files with 2 additions and 2 deletions
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train.py
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@ -32,7 +32,7 @@ def train(
train_path = parse_data_cfg(data_cfg)['train'] train_path = parse_data_cfg(data_cfg)['train']
# Initialize model # Initialize model
model = Darknet(cfg, img_size) model = Darknet(cfg, img_size).to(device)
# Get dataloader # Get dataloader
dataloader = LoadImagesAndLabels(train_path, batch_size, img_size, augment=True) dataloader = LoadImagesAndLabels(train_path, batch_size, img_size, augment=True)
@ -43,7 +43,7 @@ def train(
start_epoch = 0 start_epoch = 0
best_loss = float('inf') best_loss = float('inf')
if resume: if resume:
checkpoint = torch.load(latest, map_location='cpu') checkpoint = torch.load(latest, map_location=device)
# Load weights to resume from # Load weights to resume from
model.load_state_dict(checkpoint['model']) model.load_state_dict(checkpoint['model'])