Joseph Redmon
2016-11-27 0222895c0697b5158b05d3bbe01f0a88a3ccd576
cfg/yolo.cfg
@@ -1,31 +1,25 @@
[net]
batch=1
subdivisions=1
height=448
width=448
width=416
height=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1
learning_rate=0.001
max_batches = 120000
policy=steps
steps=200,400,600,20000,30000
scales=2.5,2,2,.1,.1
max_batches = 40000
steps=-1,100,80000,100000
scales=.1,10,.1,.1
[convolutional]
filters=64
size=7
stride=2
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=192
batch_normalize=1
filters=32
size=3
stride=1
pad=1
@@ -36,6 +30,55 @@
stride=2
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
@@ -43,13 +86,27 @@
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
@@ -57,6 +114,23 @@
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
@@ -68,87 +142,7 @@
stride=2
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
@@ -156,6 +150,7 @@
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
@@ -163,15 +158,34 @@
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
#######
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
@@ -179,13 +193,24 @@
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
[route]
layers=-9
[reorg]
stride=2
pad=1
filters=1024
activation=leaky
[route]
layers=-1,-3
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
@@ -193,32 +218,27 @@
activation=leaky
[convolutional]
size=3
size=1
stride=1
pad=1
filters=1024
activation=leaky
[connected]
output=4096
activation=leaky
[connected]
output= 1470
filters=425
activation=linear
[detection]
classes=20
[region]
anchors = 0.738768,0.874946,  2.42204,2.65704,  4.30971,7.04493,  10.246,4.59428,  12.6868,11.8741
bias_match=1
classes=80
coords=4
rescore=1
side=7
num=2
softmax=0
sqrt=1
num=5
softmax=1
jitter=.2
rescore=1
object_scale=1
noobject_scale=.5
object_scale=5
noobject_scale=1
class_scale=1
coord_scale=5
coord_scale=1
absolute=1
thresh = .6
random=0