Small version of YOLO, ~1GB RAM

This commit is contained in:
Joseph Redmon 2015-07-11 22:52:43 -07:00
parent 2f1fc380e9
commit 0b2be9d76a

205
cfg/yolo-small.cfg Normal file
View File

@ -0,0 +1,205 @@
[net]
batch=64
subdivisions=64
height=448
width=448
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
[convolutional]
filters=64
size=7
stride=2
pad=1
activation=ramp
[convolutional]
filters=192
size=3
stride=2
pad=1
activation=ramp
[convolutional]
filters=128
size=1
stride=1
pad=1
activation=ramp
[convolutional]
filters=256
size=3
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]
filters=512
size=3
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]
filters=1024
size=3
stride=2
pad=1
activation=ramp
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=ramp
[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=512
activation=ramp
[connected]
output=2048
activation=ramp
[dropout]
probability=.5
[connected]
output=1225
activation=logistic
[detection]
classes=20
coords=4
rescore=1
joint=1
objectness = 0
background=0