yolov4-pacsp-x-mish.cfg

[net]
# Testing
#batch=1
#subdivisions=1
# Training
batch=64
subdivisions=8
width=640
height=640
channels=3
momentum=0.949
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

learning_rate=0.00261
burn_in=1000
max_batches = 500500
policy=steps
steps=400000,450000
scales=.1,.1

mosaic=1

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

# Downsample

[convolutional]
batch_normalize=1
filters=80
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=40
size=1
stride=1
pad=1
activation=mish

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

[shortcut]
from=-3
activation=linear

# Downsample

[convolutional]
batch_normalize=1
filters=160
size=3
stride=2
pad=1
activation=mish

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

[route]
layers = -2

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

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

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

[shortcut]
from=-3
activation=linear

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

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

[shortcut]
from=-3
activation=linear

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

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

[shortcut]
from=-3
activation=linear

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

[route]
layers = -1,-13

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

# Downsample

[convolutional]
batch_normalize=1
filters=320
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1,-34

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

# Downsample

[convolutional]
batch_normalize=1
filters=640
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear


[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1,-34

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

# Downsample

[convolutional]
batch_normalize=1
filters=1280
size=3
stride=2
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=3
stride=1
pad=1
activation=mish

[shortcut]
from=-3
activation=linear

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1,-19

[convolutional]
batch_normalize=1
filters=1280
size=1
stride=1
pad=1
activation=mish

########################## 6 0 6 6 3

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

### 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]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[route]
layers = -1, -15

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[upsample]
stride=2

[route]
layers = 94

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1, -3

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[upsample]
stride=2

[route]
layers = 57

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[route]
layers = -1, -3

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=160
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=160
activation=mish

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=160
activation=mish

[route]
layers = -1, -8

[convolutional]
batch_normalize=1
filters=160
size=1
stride=1
pad=1
activation=mish

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

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[convolutional]
size=1
stride=1
pad=1
filters=255
activation=linear


[yolo]
mask = 0,1,2
anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
classes=80
num=9
jitter=.3
ignore_thresh = .7
truth_thresh = 1
random=1
scale_x_y = 1.05
iou_thresh=0.213
cls_normalizer=1.0
iou_normalizer=0.07
iou_loss=ciou
nms_kind=greedynms
beta_nms=0.6

[route]
layers = -4

[convolutional]
batch_normalize=1
size=3
stride=2
pad=1
filters=320
activation=mish

[route]
layers = -1, -22

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=320
activation=mish

[route]
layers = -1,-8

[convolutional]
batch_normalize=1
filters=320
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
size=1
stride=1
pad=1
filters=255
activation=linear


[yolo]
mask = 3,4,5
anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
classes=80
num=9
jitter=.3
ignore_thresh = .7
truth_thresh = 1
random=1
scale_x_y = 1.05
iou_thresh=0.213
cls_normalizer=1.0
iou_normalizer=0.07
iou_loss=ciou
nms_kind=greedynms
beta_nms=0.6

[route]
layers = -4

[convolutional]
batch_normalize=1
size=3
stride=2
pad=1
filters=640
activation=mish

[route]
layers = -1, -55

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[route]
layers = -2

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=640
activation=mish

[route]
layers = -1,-8

[convolutional]
batch_normalize=1
filters=640
size=1
stride=1
pad=1
activation=mish

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1280
activation=mish

[convolutional]
size=1
stride=1
pad=1
filters=255
activation=linear


[yolo]
mask = 6,7,8
anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
classes=80
num=9
jitter=.3
ignore_thresh = .7
truth_thresh = 1
random=1
scale_x_y = 1.05
iou_thresh=0.213
cls_normalizer=1.0
iou_normalizer=0.07
iou_loss=ciou
nms_kind=greedynms
beta_nms=0.6