darknet/cfg/yolo_voc.cfg

245 lines
2.5 KiB
INI
Raw Normal View History

2016-06-23 08:29:57 +03:00
[net]
2016-11-17 23:18:19 +03:00
batch=64
subdivisions=8
height=416
width=416
2016-06-23 08:29:57 +03:00
channels=3
momentum=0.9
decay=0.0005
2016-11-17 23:18:19 +03:00
angle=0
saturation = 1.5
exposure = 1.5
hue=.1
2016-06-23 08:29:57 +03:00
2016-11-17 23:18:19 +03:00
learning_rate=0.0001
max_batches = 45000
2016-06-23 08:29:57 +03:00
policy=steps
2016-11-17 23:18:19 +03:00
steps=100,25000,35000
scales=10,.1,.1
2016-06-23 08:29:57 +03:00
[convolutional]
batch_normalize=1
2016-11-17 23:18:19 +03:00
filters=32
size=3
stride=1
2016-06-23 08:29:57 +03:00
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
2016-11-17 23:18:19 +03:00
filters=64
2016-06-23 08:29:57 +03:00
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
2016-11-17 23:18:19 +03:00
filters=64
2016-06-23 08:29:57 +03:00
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
2016-11-17 23:18:19 +03:00
filters=128
2016-06-23 08:29:57 +03:00
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=256
2016-11-17 23:18:19 +03:00
size=3
2016-06-23 08:29:57 +03:00
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
2016-11-17 23:18:19 +03:00
filters=128
size=1
2016-06-23 08:29:57 +03:00
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
2016-11-17 23:18:19 +03:00
size=3
2016-06-23 08:29:57 +03:00
stride=1
pad=1
activation=leaky
2016-11-17 23:18:19 +03:00
[maxpool]
size=2
stride=2
2016-06-23 08:29:57 +03:00
[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
2016-11-17 23:18:19 +03:00
[maxpool]
size=2
stride=2
2016-06-23 08:29:57 +03:00
[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
2016-11-17 23:18:19 +03:00
2016-06-23 08:29:57 +03:00
#######
[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
2016-11-17 23:18:19 +03:00
[route]
layers=-9
[reorg]
stride=2
[route]
layers=-1,-3
2016-06-23 08:29:57 +03:00
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
2016-11-17 23:18:19 +03:00
[convolutional]
size=1
2016-06-23 08:29:57 +03:00
stride=1
pad=1
2016-11-17 23:18:19 +03:00
filters=125
2016-06-23 08:29:57 +03:00
activation=linear
2016-11-17 23:18:19 +03:00
[region]
anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52
bias_match=1
2016-06-23 08:29:57 +03:00
classes=20
coords=4
2016-11-17 23:18:19 +03:00
num=5
softmax=1
2016-06-23 08:29:57 +03:00
jitter=.2
2016-11-17 23:18:19 +03:00
rescore=1
2016-06-23 08:29:57 +03:00
2016-11-17 23:18:19 +03:00
object_scale=5
noobject_scale=1
2016-06-23 08:29:57 +03:00
class_scale=1
2016-11-17 23:18:19 +03:00
coord_scale=1
2016-06-23 08:29:57 +03:00
2016-11-17 23:18:19 +03:00
absolute=1
thresh = .6
random=0