[net]
batch=32
subdivisions=8
width=512
height=512
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation=1.5
exposure=1.5
hue=.1
learning_rate=0.00261
burn_in=1000
max_batches=300000
policy=steps
steps=80000,110000
scales=.1,.1
cfg_path=data/yolov4-tiny-traffic-608.cfg

[convolutional]
batch_normalize=1
filters=15
size=3
stride=2
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=54
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=29
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=25
size=3
stride=1
pad=1
activation=leaky

[route]
layers=-1, -2

[convolutional]
batch_normalize=1
filters=53
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=37
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=29
size=3
stride=1
pad=1
activation=leaky

[route]
layers=-1, -2

[convolutional]
batch_normalize=1
filters=50
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=71
size=3
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=55
size=3
stride=1
pad=1
activation=leaky

[route]
layers=-1, -2

[convolutional]
batch_normalize=1
filters=77
size=1
stride=1
pad=1
activation=leaky

[route]
layers=-6, -1

[maxpool]
size=2
stride=2

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

[convolutional]
batch_normalize=1
filters=58
size=1
stride=1
pad=1
activation=leaky

[convolutional]
batch_normalize=1
filters=36
size=3
stride=1
pad=1
activation=leaky

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

[yolo]
mask=3, 4, 5
anchors=10,14, 23,27, 37,58, 81,82, 135,169, 344,319
classes=6
num=6
jitter=.3
scale_x_y=1.05
cls_normalizer=1.0
iou_normalizer=0.07
iou_loss=ciou
ignore_thresh=.7
truth_thresh=1
random=1
resize=1.5
nms_kind=greedynms
beta_nms=0.6

[route]
layers=-4

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

[upsample]
stride=2

[route]
layers=-1, 23

[convolutional]
batch_normalize=1
filters=80
size=3
stride=1
pad=1
activation=leaky

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

[yolo]
mask=1, 2, 3
anchors=10,14, 23,27, 37,58, 81,82, 135,169, 344,319
classes=6
num=6
jitter=.3
scale_x_y=1.05
cls_normalizer=1.0
iou_normalizer=0.07
iou_loss=ciou
ignore_thresh=.7
truth_thresh=1
random=1
resize=1.5
nms_kind=greedynms
beta_nms=0.6