Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-08-23 15:43:16 +02:00
parent 7593dedc4c
commit f0622e2510
1 changed files with 6 additions and 0 deletions
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6
train.py
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@ -127,6 +127,11 @@ def train():
if opt.transfer: # transfer learning if opt.transfer: # transfer learning
nf = int(model.module_defs[model.yolo_layers[0] - 1]['filters']) # yolo layer size (i.e. 255) nf = int(model.module_defs[model.yolo_layers[0] - 1]['filters']) # yolo layer size (i.e. 255)
for x in optimizer.param_groups:
x['lr'] = 0.1
x['momentum'] = 0.9
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
@ -364,6 +369,7 @@ if __name__ == '__main__':
parser.add_argument('--weights', type=str, default='', help='initial weights') # i.e. weights/darknet.53.conv.74 parser.add_argument('--weights', type=str, default='', help='initial weights') # i.e. weights/darknet.53.conv.74
opt = parser.parse_args() opt = parser.parse_args()
opt.weights = 'weights/last.pt' if opt.resume else opt.weights opt.weights = 'weights/last.pt' if opt.resume else opt.weights
opt.transfer = True
print(opt) print(opt)
tb_writer = None tb_writer = None