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resnet152_yolo.cfg uses learning_rate, steps, scales, decay, momentum as in the RetinaNet

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AlexeyAB
2018-03-05 23:07:33 +03:00
parent 0c07837397
commit e90afa6ec1
1 changed files with 10 additions and 5 deletions
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15
build/darknet/x64/resnet152_yolo.cfg
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@ -5,17 +5,22 @@ height=416
width=416 width=416
channels=3 channels=3
momentum=0.9 momentum=0.9
decay=0.0005 decay=0.0001
#decay=0.0005
angle=0 angle=0
saturation = 1.5 saturation = 1.5
exposure = 1.5 exposure = 1.5
hue=.1 hue=.1
learning_rate=0.0001 learning_rate=0.01
max_batches = 45000 max_batches = 90000
policy=steps policy=steps
steps=100,25000,35000 steps=60000,80000
scales=10,.1,.1 scales=.1,.1
#learning_rate=0.0001
#steps=100,25000,35000
#scales=10,.1,.1
[convolutional] [convolutional]
batch_normalize=1 batch_normalize=1