yolov3-spp_xnor_obj.cfg

[net]
# Testing
#batch=1
#subdivisions=1
# Training
batch=64
subdivisions=8
width=608
height=608
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

learning_rate=0.001
burn_in=1000
#max_batches = 500200
max_batches = 50020
policy=steps
steps=40000,45000
scales=.1,.1

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

# Downsample

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

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

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

[shortcut]
from=-3
activation=linear

# Downsample

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=128
size=3
stride=2
pad=1
activation=leaky

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

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

[shortcut]
from=-3
activation=linear

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

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

[shortcut]
from=-3
activation=linear

# Downsample

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=256
size=3
stride=2
pad=1
activation=leaky

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

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

[shortcut]
from=-3
activation=linear

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

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

[shortcut]
from=-3
activation=linear

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

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

[shortcut]
from=-3
activation=linear

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

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

[shortcut]
from=-3
activation=linear


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

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

[shortcut]
from=-3
activation=linear

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

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

[shortcut]
from=-3
activation=linear

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

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

[shortcut]
from=-3
activation=linear

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

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

[shortcut]
from=-3
activation=linear

# Downsample

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=512
size=3
stride=2
pad=1
activation=leaky

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

[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear


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

[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear


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

[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear


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

[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear

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

[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear


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

[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear


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

[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear

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

[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear

# Downsample

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=1024
size=3
stride=2
pad=1
activation=leaky

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky

[convolutional]
xnor=1
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky

[convolutional]
xnor=1
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky

[convolutional]
xnor=1
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky

[convolutional]
xnor=1
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky

[shortcut]
from=-3
activation=linear

######################

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky

[convolutional]
xnor=1
#bin_output=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky

### SPP ###
[maxpool]
stride=1
size=5

[route]
layers=-2

[maxpool]
stride=1
size=9

[route]
layers=-4

[maxpool]
stride=1
size=13

[route]
layers=-1,-3,-5,-6

### End SPP ###

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky


[convolutional]
xnor=1
bin_output=1
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky

[convolutional]
xnor=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky

[convolutional]
size=3
stride=1
pad=1
filters=33
activation=linear


[yolo]
mask = 6,7,8
anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
classes=6
num=9
jitter=.3
ignore_thresh = .7
truth_thresh = 1
random=1


[route]
layers = -4

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

[upsample]
stride=2

[route]
layers = -1, 61



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

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
size=3
stride=1
pad=1
filters=512
activation=leaky

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

[convolutional]
xnor=1
bin_output=1
batch_normalize=1
size=3
stride=1
pad=1
filters=512
activation=leaky

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

[convolutional]
size=3
stride=1
pad=1
filters=33
activation=linear

[yolo]
mask = 3,4,5
anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
classes=6
num=9
jitter=.3
ignore_thresh = .7
truth_thresh = 1
random=1



[route]
layers = -4

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

[upsample]
stride=2

[route]
layers = -1, 36



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

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

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

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

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

[convolutional]
size=3
stride=1
pad=1
filters=33
activation=linear


[yolo]
mask = 0,1,2
anchors = 10,13,  16,30,  33,23,  30,61,  62,45,  59,119,  116,90,  156,198,  373,326
classes=6
num=9
jitter=.3
ignore_thresh = .7
truth_thresh = 1
random=0