OrgLion-ML
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darknet
mirror of https://github.com/AlexeyAB/darknet.git
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This commit is contained in:
Joseph Redmon 2015-08-17 10:25:43 -07:00
parent 741ada451c
commit 3a99b8151f
4 changed files with 3 additions and 52 deletions
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2
cfg/alexnet.cfg
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@ -1,6 +1,6 @@
[net] [net]
batch=128 batch=128
subdivisions=128 subdivisions=1
height=256 height=256
width=256 width=256
channels=3 channels=3

49
cfg/darknet.cfg
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@ -23,13 +23,6 @@ stride=1
pad=1 pad=1
activation=leaky activation=leaky
#[convolutional]
#filters=16
#size=3
#stride=1
#pad=1
#activation=leaky
[maxpool] [maxpool]
stride=2 stride=2
size=2 size=2
@ -41,13 +34,6 @@ stride=1
pad=1 pad=1
activation=leaky activation=leaky
#[convolutional]
#filters=32
#size=3
#stride=1
#pad=1
#activation=leaky
[maxpool] [maxpool]
stride=2 stride=2
size=2 size=2
@ -59,13 +45,6 @@ stride=1
pad=1 pad=1
activation=leaky activation=leaky
#[convolutional]
#filters=64
#size=3
#stride=1
#pad=1
#activation=leaky
[maxpool] [maxpool]
stride=2 stride=2
size=2 size=2
@ -77,13 +56,6 @@ stride=1
pad=1 pad=1
activation=leaky activation=leaky
#[convolutional]
#filters=128
#size=3
#stride=1
#pad=1
#activation=leaky
[maxpool] [maxpool]
stride=2 stride=2
size=2 size=2
@ -95,13 +67,6 @@ stride=1
pad=1 pad=1
activation=leaky activation=leaky
#[convolutional]
#filters=256
#size=3
#stride=1
#pad=1
#activation=leaky
[maxpool] [maxpool]
stride=2 stride=2
size=2 size=2
@ -113,13 +78,6 @@ stride=1
pad=1 pad=1
activation=leaky activation=leaky
#[convolutional]
#filters=512
#size=3
#stride=1
#pad=1
#activation=leaky
[maxpool] [maxpool]
stride=2 stride=2
size=2 size=2
@ -131,13 +89,6 @@ stride=1
pad=1 pad=1
activation=leaky activation=leaky
#[convolutional]
#filters=1024
#size=3
#stride=1
#pad=1
#activation=leaky
[avgpool] [avgpool]
[dropout] [dropout]

2
cfg/strided.cfg
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@ -1,6 +1,6 @@
[net] [net]
batch=128 batch=128
subdivisions=128 subdivisions=4
height=256 height=256
width=256 width=256
channels=3 channels=3

2
cfg/vgg-16.cfg
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@ -1,6 +1,6 @@
[net] [net]
batch=128 batch=128
subdivisions=128 subdivisions=4
height=256 height=256
width=256 width=256
channels=3 channels=3