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car-detection-bayes
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Update train.py

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Glenn Jocher 2019-03-25 15:05:35 +01:00 committed by GitHub
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train.py
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@ -61,11 +61,6 @@ def train(
elif cfg.endswith('yolov3-tiny.cfg'): elif cfg.endswith('yolov3-tiny.cfg'):
cutoff = load_darknet_weights(model, weights + 'yolov3-tiny.conv.15') cutoff = load_darknet_weights(model, weights + 'yolov3-tiny.conv.15')
#initialize for distributed training
if torch.cuda.device_count() > 1:
dist.init_process_group(backend=opt.backend, init_method=opt.dist_url,world_size=opt.world_size, rank=opt.rank)
model = torch.nn.parallel.DistributedDataParallel(model)
# Transfer learning (train only YOLO layers) # Transfer learning (train only YOLO layers)
# for i, (name, p) in enumerate(model.named_parameters()): # for i, (name, p) in enumerate(model.named_parameters()):
# p.requires_grad = True if (p.shape[0] == 255) else False # p.requires_grad = True if (p.shape[0] == 255) else False