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Add version with large max pool
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Flova committed Dec 18, 2024
1 parent f7abd77 commit 84e1267
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381 changes: 381 additions & 0 deletions config/yoeo_medium_decoder_deconv_context.cfg
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[net]
# Testing
#batch=1
#subdivisions=1
# Training
batch=64
subdivisions=4
width=416
height=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

learning_rate=0.0001
burn_in=100
max_batches = 4000
policy=steps
steps=50000,60000
scales=.1,.1

[convolutional]
batch_normalize=1
filters=32
size=3
stride=2
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=64
size=3
stride=2
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky

[route]
layers=-1
groups=2
group_id=1

[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky

[route]
layers = -1,-2

[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky

[route]
layers = -6,-1

[maxpool]
size=2
stride=2

[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

[route]
layers=-1
groups=2
group_id=1

[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky

[route]
layers = -1,-2

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky

[route]
layers = -6,-1

[maxpool]
size=2
stride=2

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

[route]
layers=-1
groups=2
group_id=1

[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

[route]
layers = -1,-2

[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky

[route]
layers = -6,-1

[maxpool]
size=2
stride=2

[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]
size=1
stride=1
pad=1
filters=8
activation=linear

[yolo]
mask = 0
anchors = 100, 100
classes=3
num=1
jitter=.3
ignore_thresh = .7
truth_thresh = 1
random=1

[route]
layers = -4

[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky

[upsample]
stride=2

[route]
layers = -1, 24

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

[convolutional]
size=1
stride=1
pad=1
filters=8
activation=linear

[yolo]
mask = 0
anchors = 100, 100
classes=3
num=1
jitter=.3
ignore_thresh = .7
truth_thresh = 1
random=1

[route]
layers = 18
groups=2
group_id=1

[maxpool]
size=13
stride=13

[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

[upsample]
stride=13

[route]
layers = 18
groups=2
group_id=0

[route]
layers = -1, -2

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-2

[deconvolutional]
batch_normalize=1
filters=128
size=2
stride=2
pad=0
activation=leaky

[route]
layers = -1, 10

[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-2

[deconvolutional]
batch_normalize=1
filters=64
size=2
stride=2
pad=0
activation=leaky

[route]
layers = -1, 2

[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-2

[deconvolutional]
batch_normalize=1
filters=32
size=2
stride=2
pad=0
activation=leaky

[route]
layers = -1, 0

[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-2

[deconvolutional]
batch_normalize=1
filters=3
size=2
stride=2
pad=0
activation=linear

[seg]
classes=3

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