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darknet
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darknet/cfg/msr_50.cfg

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shortcut layers, msr networks
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[net]
batch=128
idk
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subdivisions=8
shortcut layers, msr networks
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height=256
width=256
channels=3
momentum=0.9
idk
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decay=0.0001
learning_rate=0.05
policy=poly
power=4
max_batches=500000
shortcut layers, msr networks
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[crop]
crop_height=224
crop_width=224
flip=1
saturation=1
exposure=1
angle=0
##### Conv 1 #####
[convolutional]
batch_normalize=1
filters=64
size=7
stride=2
pad=1
activation=leaky
[maxpool]
size=3
stride=2
##### Conv 2_x #####
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
idk
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activation=linear
[route]
layers=-4
[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
activation=linear
filters=256
shortcut layers, msr networks
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[shortcut]
idk
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from = -3
activation=leaky
shortcut layers, msr networks
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[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
idk
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activation=linear
shortcut layers, msr networks
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[shortcut]
from = -4
idk
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activation=leaky
shortcut layers, msr networks
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[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
idk
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activation=linear
shortcut layers, msr networks
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[shortcut]
from = -4
idk
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activation=leaky
shortcut layers, msr networks
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##### Conv 3_x #####
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
idk
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activation=linear
[route]
layers=-4
[convolutional]
batch_normalize=1
size=1
stride=2
pad=1
activation=linear
filters=512
shortcut layers, msr networks
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[shortcut]
idk
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from = -3
activation=leaky
shortcut layers, msr networks
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[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
idk
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activation=linear
shortcut layers, msr networks
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[shortcut]
from = -4
idk
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activation=leaky
shortcut layers, msr networks
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[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
idk
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activation=linear
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[shortcut]
from = -4
idk
2016-01-19 07:40:14 +08:00
activation=leaky
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
idk
2016-01-19 07:40:14 +08:00
activation=linear
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[shortcut]
from = -4
idk
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activation=leaky
shortcut layers, msr networks
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##### Conv 4_x #####
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
idk
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activation=linear
[route]
layers=-4
[convolutional]
batch_normalize=1
size=1
stride=2
pad=1
activation=linear
filters=1024
shortcut layers, msr networks
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[shortcut]
idk
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from = -3
activation=leaky
shortcut layers, msr networks
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[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
idk
2016-01-19 07:40:14 +08:00
activation=linear
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[shortcut]
from = -4
idk
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activation=leaky
shortcut layers, msr networks
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[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
idk
2016-01-19 07:40:14 +08:00
activation=linear
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[shortcut]
from = -4
idk
2016-01-19 07:40:14 +08:00
activation=leaky
shortcut layers, msr networks
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[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
idk
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activation=linear
shortcut layers, msr networks
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[shortcut]
from = -4
idk
2016-01-19 07:40:14 +08:00
activation=leaky
shortcut layers, msr networks
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[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
idk
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activation=linear
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[shortcut]
from = -4
idk
2016-01-19 07:40:14 +08:00
activation=leaky
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
idk
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activation=linear
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[shortcut]
from = -4
idk
2016-01-19 07:40:14 +08:00
activation=leaky
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
##### Conv 5_x #####
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=2048
size=1
stride=1
pad=1
idk
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activation=linear
[route]
layers=-4
[convolutional]
batch_normalize=1
size=1
stride=2
pad=1
activation=linear
filters=2048
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[shortcut]
idk
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from = -3
activation=leaky
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=2048
size=1
stride=1
pad=1
idk
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activation=linear
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[shortcut]
from = -4
idk
2016-01-19 07:40:14 +08:00
activation=leaky
shortcut layers, msr networks
2015-12-15 03:57:10 +08:00
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=2048
size=1
stride=1
pad=1
idk
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activation=linear
shortcut layers, msr networks
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[shortcut]
from = -4
idk
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activation=leaky
shortcut layers, msr networks
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[avgpool]
[connected]
output=1000
activation=leaky
[softmax]
groups=1
[cost]
type=sse