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.
251 lines
2.6 KiB
251 lines
2.6 KiB
[net] |
|
batch=1 |
|
subdivisions=1 |
|
height=448 |
|
width=448 |
|
channels=3 |
|
momentum=0.9 |
|
decay=0.0005 |
|
|
|
learning_rate=0.0005 |
|
policy=steps |
|
steps=200,400,600,20000,30000 |
|
scales=2.5,2,2,.1,.1 |
|
max_batches = 40000 |
|
|
|
[convolutional] |
|
batch_normalize=1 |
|
filters=64 |
|
size=7 |
|
stride=2 |
|
pad=1 |
|
activation=leaky |
|
|
|
[maxpool] |
|
size=2 |
|
stride=2 |
|
|
|
[convolutional] |
|
batch_normalize=1 |
|
filters=192 |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
activation=leaky |
|
|
|
[maxpool] |
|
size=2 |
|
stride=2 |
|
|
|
[convolutional] |
|
batch_normalize=1 |
|
filters=128 |
|
size=1 |
|
stride=1 |
|
pad=1 |
|
activation=leaky |
|
|
|
[convolutional] |
|
batch_normalize=1 |
|
filters=256 |
|
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 |
|
|
|
[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 |
|
|
|
[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 |
|
|
|
[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 |
|
|
|
[maxpool] |
|
size=2 |
|
stride=2 |
|
|
|
[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=2 |
|
pad=1 |
|
filters=1024 |
|
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 |
|
|
|
[local] |
|
size=3 |
|
stride=1 |
|
pad=1 |
|
filters=256 |
|
activation=leaky |
|
|
|
[connected] |
|
output= 1715 |
|
activation=linear |
|
|
|
[detection] |
|
classes=20 |
|
coords=4 |
|
rescore=1 |
|
side=7 |
|
num=3 |
|
softmax=0 |
|
sqrt=1 |
|
jitter=.2 |
|
|
|
object_scale=1 |
|
noobject_scale=.5 |
|
class_scale=1 |
|
coord_scale=5 |
|
|
|
|