Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-09-11 14:25:48 +02:00
parent 270724e507
commit 806d7b92d8
1 changed files with 6 additions and 4 deletions
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10
train.py
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@ -1,5 +1,4 @@
import argparse
import time
import torch.distributed as dist
import torch.optim as optim
@ -88,9 +87,11 @@ def train():
else:
pg0 += [v] # parameter group 0
# optimizer = optim.Adam(pg0, lr=hyp['lr0'])
# optimizer = AdaBound(pg0, lr=hyp['lr0'], final_lr=0.1)
optimizer = optim.SGD(pg0, lr=hyp['lr0'], momentum=hyp['momentum'], nesterov=True)
if opt.adam:
optimizer = optim.Adam(pg0, lr=hyp['lr0'])
# optimizer = AdaBound(pg0, lr=hyp['lr0'], final_lr=0.1)
else:
optimizer = optim.SGD(pg0, lr=hyp['lr0'], momentum=hyp['momentum'], nesterov=True)
optimizer.add_param_group({'params': pg1, 'weight_decay': hyp['weight_decay']}) # add pg1 with weight_decay
del pg0, pg1
@ -388,6 +389,7 @@ if __name__ == '__main__':
parser.add_argument('--prebias', action='store_true', help='transfer-learn yolo biases prior to training')
parser.add_argument('--name', default='', help='renames results.txt to results_name.txt if supplied')
parser.add_argument('--device', default='', help='select device if multi-gpu, i.e. 0 or 0,1')
parser.add_argument('--adam', action='store_true', help='use adam optimizer')
parser.add_argument('--var', type=float, help='debug variable')
opt = parser.parse_args()
opt.weights = 'weights/last.pt' if opt.resume else opt.weights