mirror of https://github.com/AlexeyAB/darknet.git
219 lines
2.2 KiB
INI
219 lines
2.2 KiB
INI
[net]
|
|
# Testing
|
|
#batch=1
|
|
#subdivisions=1
|
|
# Training
|
|
batch=8
|
|
subdivisions=4
|
|
width=416
|
|
height=416
|
|
channels=3
|
|
momentum=0.9
|
|
decay=0.0005
|
|
angle=0
|
|
saturation = 1.5
|
|
exposure = 1.5
|
|
hue=.1
|
|
|
|
track=1
|
|
time_steps=20
|
|
augment_speed=3
|
|
|
|
learning_rate=0.001
|
|
burn_in=1000
|
|
max_batches = 10000
|
|
policy=steps
|
|
steps=9000,9500
|
|
scales=.1,.1
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=16
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[maxpool]
|
|
size=2
|
|
stride=2
|
|
|
|
[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=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
|
|
|
|
[maxpool]
|
|
size=2
|
|
stride=2
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=256
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[maxpool]
|
|
size=2
|
|
stride=2
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=512
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[maxpool]
|
|
size=2
|
|
stride=1
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=1024
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
###########
|
|
|
|
|
|
[crnn]
|
|
batch_normalize=1
|
|
size=3
|
|
pad=1
|
|
output=512
|
|
hidden=256
|
|
activation=leaky
|
|
|
|
#[shortcut]
|
|
#from=-2
|
|
#activation=linear
|
|
|
|
###########
|
|
|
|
[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=3
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
filters=18
|
|
activation=linear
|
|
|
|
|
|
|
|
[yolo]
|
|
mask = 3,4,5
|
|
anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319
|
|
classes=1
|
|
num=6
|
|
jitter=.3
|
|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=0
|
|
|
|
[route]
|
|
layers = -4
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=128
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
[upsample]
|
|
stride=2
|
|
|
|
[route]
|
|
layers = -1, 8
|
|
|
|
[crnn]
|
|
batch_normalize=1
|
|
size=3
|
|
pad=1
|
|
output=256
|
|
hidden=128
|
|
activation=leaky
|
|
|
|
[convolutional]
|
|
batch_normalize=1
|
|
filters=256
|
|
size=3
|
|
stride=1
|
|
pad=1
|
|
activation=leaky
|
|
|
|
|
|
[convolutional]
|
|
size=1
|
|
stride=1
|
|
pad=1
|
|
filters=18
|
|
activation=linear
|
|
|
|
[yolo]
|
|
mask = 0,1,2
|
|
anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319
|
|
classes=1
|
|
num=6
|
|
jitter=.3
|
|
ignore_thresh = .7
|
|
truth_thresh = 1
|
|
random=0
|