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darknet
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darknet/cfg/yolo.cfg

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detection exp
2015-05-21 01:06:42 +08:00
[net]
hi
2016-06-23 13:31:14 +08:00
batch=1
subdivisions=1
detection exp
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height=448
width=448
channels=3
momentum=0.9
decay=0.0005
CVPR Experiments
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learning_rate=0.001
stable
2015-09-10 03:48:40 +08:00
policy=steps
New YOLO
2015-11-10 03:31:39 +08:00
steps=200,400,600,20000,30000
scales=2.5,2,2,.1,.1
CVPR Experiments
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max_batches = 40000
stable
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detection exp
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[convolutional]
filters=64
size=7
stride=2
pad=1
CVPR Experiments
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activation=leaky
[maxpool]
size=2
stride=2
detection exp
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[convolutional]
filters=192
size=3
CVPR Experiments
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stride=1
detection exp
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pad=1
CVPR Experiments
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activation=leaky
[maxpool]
size=2
stride=2
detection exp
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[convolutional]
filters=128
size=1
stride=1
pad=1
CVPR Experiments
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activation=leaky
detection exp
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[convolutional]
filters=256
size=3
CVPR Experiments
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stride=1
detection exp
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pad=1
CVPR Experiments
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activation=leaky
detection exp
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[convolutional]
CVPR Experiments
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filters=256
detection exp
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size=1
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
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[convolutional]
CVPR Experiments
2015-11-04 11:23:17 +08:00
filters=512
detection exp
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size=3
stride=1
pad=1
CVPR Experiments
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activation=leaky
[maxpool]
size=2
stride=2
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
CVPR Experiments
2015-11-04 11:23:17 +08:00
filters=256
detection exp
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size=1
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
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[convolutional]
filters=512
size=3
CVPR Experiments
2015-11-04 11:23:17 +08:00
stride=1
detection exp
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pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
filters=256
size=1
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
filters=512
size=3
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
filters=256
size=1
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
filters=512
size=3
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
filters=256
size=1
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
filters=512
size=3
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
CVPR Experiments
2015-11-04 11:23:17 +08:00
filters=512
detection exp
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size=1
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
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[convolutional]
CVPR Experiments
2015-11-04 11:23:17 +08:00
filters=1024
detection exp
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size=3
stride=1
pad=1
CVPR Experiments
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activation=leaky
[maxpool]
size=2
stride=2
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
CVPR Experiments
2015-11-04 11:23:17 +08:00
filters=512
detection exp
2015-05-21 01:06:42 +08:00
size=1
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
filters=1024
size=3
CVPR Experiments
2015-11-04 11:23:17 +08:00
stride=1
detection exp
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pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
filters=512
size=1
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
2015-05-21 01:06:42 +08:00
[convolutional]
filters=1024
size=3
stride=1
pad=1
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
#######
detection exp
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[convolutional]
size=3
stride=1
pad=1
filters=1024
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
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[convolutional]
size=3
stride=2
pad=1
filters=1024
CVPR Experiments
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activation=leaky
detection exp
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[convolutional]
size=3
stride=1
pad=1
filters=1024
CVPR Experiments
2015-11-04 11:23:17 +08:00
activation=leaky
detection exp
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syncing messed something up
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[convolutional]
size=3
stride=1
pad=1
filters=1024
CVPR Experiments
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activation=leaky
syncing messed something up
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detection exp
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[connected]
output=4096
CVPR Experiments
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activation=leaky
detection exp
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[connected]
CVPR Experiments
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output= 1470
activation=linear
detection exp
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New YOLO
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[detection]
detection exp
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classes=20
coords=4
CVPR Experiments
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rescore=1
side=7
num=2
softmax=0
sqrt=1
jitter=.2
object_scale=1
noobject_scale=.5
class_scale=1
coord_scale=5
changes to detection
2015-07-21 05:56:53 +08:00