mirror of https://github.com/AlexeyAB/darknet.git
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
148 lines
1.5 KiB
148 lines
1.5 KiB
[net] |
|
batch=64 |
|
subdivisions=8 |
|
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 = 40200 |
|
policy=steps |
|
steps=-1,100,20000,30000 |
|
scales=.1,10,.1,.1 |
|
|
|
[convolutional] |
|
#xnor=1 |
|
batch_normalize=1 |
|
filters=16 |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
activation=leaky |
|
|
|
[maxpool] |
|
size=2 |
|
stride=2 |
|
|
|
[convolutional] |
|
xnor=1 |
|
bin_output=1 |
|
batch_normalize=1 |
|
filters=32 |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
activation=leaky |
|
|
|
[maxpool] |
|
size=2 |
|
stride=2 |
|
|
|
[convolutional] |
|
xnor=1 |
|
bin_output=1 |
|
batch_normalize=1 |
|
filters=64 |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
activation=leaky |
|
|
|
[maxpool] |
|
size=2 |
|
stride=2 |
|
|
|
[convolutional] |
|
xnor=1 |
|
bin_output=1 |
|
batch_normalize=1 |
|
filters=128 |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
activation=leaky |
|
|
|
[maxpool] |
|
size=2 |
|
stride=2 |
|
|
|
[convolutional] |
|
xnor=1 |
|
bin_output=1 |
|
batch_normalize=1 |
|
filters=256 |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
activation=leaky |
|
|
|
[maxpool] |
|
size=2 |
|
stride=2 |
|
|
|
[convolutional] |
|
xnor=1 |
|
bin_output=1 |
|
batch_normalize=1 |
|
filters=512 |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
activation=leaky |
|
|
|
[maxpool] |
|
size=2 |
|
stride=1 |
|
|
|
[convolutional] |
|
xnor=1 |
|
bin_output=1 |
|
batch_normalize=1 |
|
filters=1024 |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
activation=leaky |
|
|
|
########### |
|
|
|
[convolutional] |
|
xnor=1 |
|
batch_normalize=1 |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
filters=1024 |
|
activation=leaky |
|
|
|
[convolutional] |
|
size=1 |
|
stride=1 |
|
pad=1 |
|
filters=425 |
|
activation=linear |
|
|
|
[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 |
|
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=1
|
|
|