:fire: :fire: yolo v2 :fire: :fire:

Joseph Redmon

2016-11-17 c6afc7ff1499fbbe64069e1843d7929bd7ae2eaa

 cfg/yolo.cfg

@@ -1,205 +1,244 @@
[net]
batch=1
subdivisions=1
height=448
width=448
batch=64
subdivisions=8
height=416
width=416
channels=3
learning_rate=0.01
momentum=0.9
decay=0.0005
seen = 0

[crop]
crop_width=448
crop_height=448
flip=0
angle=0
saturation = 2
exposure = 2
saturation = 1.5
exposure = 1.5
hue=.1

learning_rate=0.001
max_batches = 120000
policy=steps
steps=-1,100,80000,100000
scales=.1,10,.1,.1

[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

[convolutional]
batch_normalize=1
filters=64
size=7
stride=2
pad=1
activation=ramp

[convolutional]
filters=192
size=3
stride=2
stride=1
pad=1
activation=ramp
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
pad=1
activation=ramp
activation=leaky

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2
pad=1
activation=ramp

[convolutional]
filters=128
size=1
stride=1
pad=1
activation=ramp

[convolutional]
filters=256
size=3
stride=1
pad=1
activation=ramp

[convolutional]
filters=128
size=1
stride=1
pad=1
activation=ramp

[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
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
pad=1
activation=leaky

[maxpool]
size=2
stride=2
pad=1
activation=ramp

[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=ramp

[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=ramp

[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=ramp

[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=ramp

[convolutional]
filters=256
size=1
stride=1
pad=1
activation=ramp

[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
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
filters=1024
activation=leaky

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

[route]
layers=-9

[reorg]
stride=2
pad=1
activation=ramp

[route]
layers=-1,-3

[convolutional]
filters=512
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky

[convolutional]
size=1
stride=1
pad=1
activation=ramp
filters=425
activation=linear

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

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

[convolutional]
size=3
stride=2
pad=1
filters=1024
activation=ramp

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

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

[connected]
output=4096
activation=ramp

[dropout]
probability=.5

[connected]
output=1225
activation=logistic

[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=0
joint=1
objectness = 0
background=0
num=5
softmax=1
jitter=.2
rescore=1

object_scale=5
noobject_scale=1
class_scale=1
coord_scale=1

absolute=1
thresh = .6
random=0