reverting merge

Edmond Yoo

2018-09-16 721d5e410e5a2b47ec2de722cc02fd6b9ed6b2fd

 cfg/darknet.cfg

@@ -1,25 +1,20 @@
[net]
batch=128
subdivisions=1
height=256
width=256
height=224
width=224
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.01
policy=poly
power=.5
max_batches=600000
max_crop=320

[crop]
crop_height=224
crop_width=224
flip=1
angle=0
saturation=1
exposure=1
learning_rate=0.1
policy=poly
power=4
max_batches=1600000

[convolutional]
batch_normalize=1
filters=16
size=3
stride=1
@@ -27,10 +22,11 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
@@ -38,10 +34,11 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
@@ -49,10 +46,11 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
@@ -60,10 +58,11 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
@@ -71,10 +70,11 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2

[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
@@ -82,26 +82,29 @@
activation=leaky

[maxpool]
size=3
size=2
stride=2
padding=1

[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky

[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=leaky

[avgpool]

[dropout]
probability=.5

[connected]
output=1000
activation=linear

[softmax]
groups=1

[cost]
type=sse