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* Error message: filters in [convolutional] layer (689520) does not match classes or mask in [yolo] layer (64896) #2630

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redemptusabi opened this issue Mar 9, 2024 · 0 comments
Open

* Error message: filters in [convolutional] layer (689520) does not match classes or mask in [yolo] layer (64896) #2630

redemptusabi opened this issue Mar 9, 2024 · 0 comments

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@redemptusabi
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For the custom dataset i use its 3 classes and here's the config :
[net]

Testing

#batch=1
#subdivisions=1

Training

batch=64
subdivisions=16
width=416
height=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

learning_rate=0.00261
burn_in=1000

max_batches = 6000
policy=steps
steps=4800,5400
scales=.1,.1

0

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

1

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

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

3

[convolutional]
batch_normalize=1
filters=128
size=3
stride=2
pad=1
activation=swish

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

[route]
layers=-2

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

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

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

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

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

[route]
layers = -1,-3,-5,-7

12

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

[maxpool]
size=2
stride=2

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

[route]
layers=-3

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

[convolutional]
batch_normalize=1
filters=128
size=3
stride=2
pad=1
activation=swish

18

[route]
layers = -1,-4

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

[route]
layers=-2

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

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

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

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

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

[route]
layers = -1,-3,-5,-7

27

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

[maxpool]
size=2
stride=2

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

[route]
layers=-3

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

[convolutional]
batch_normalize=1
filters=256
size=3
stride=2
pad=1
activation=swish

33

[route]
layers = -1,-4

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

[route]
layers=-2

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

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

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

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

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

[route]
layers = -1,-3,-5,-7

42

[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
activation=swish

[maxpool]
size=2
stride=2

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

[route]
layers=-3

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

[convolutional]
batch_normalize=1
filters=512
size=3
stride=2
pad=1
activation=swish

48

[route]
layers = -1,-4

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

[route]
layers=-2

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

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

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

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

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

[route]
layers = -1,-3,-5,-7

57

[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
activation=swish

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

SPPCSP

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

[route]
layers = -2

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

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

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

SPP

[maxpool]
stride=1
size=5

[route]
layers=-2

[maxpool]
stride=1
size=9

[route]
layers=-4

[maxpool]
stride=1
size=13

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

End SPP

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

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

[route]
layers = -1, -13

72

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

End SPPCSP

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

[upsample]
stride=2

[route]
layers = 42

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

[route]
layers = -1,-3

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

[route]
layers=-2

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

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

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

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

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

[route]
layers = -1,-2,-3,-4,-5,-7

86

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

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

[upsample]
stride=2

[route]
layers = 27

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

[route]
layers = -1,-3

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

[route]
layers=-2

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

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

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

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

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

[route]
layers = -1,-2,-3,-4,-5,-7

100

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

[maxpool]
size=2
stride=2

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

[route]
layers=-3

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

[convolutional]
batch_normalize=1
filters=128
size=3
stride=2
pad=1
activation=swish

[route]
layers = -1,-4,86

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

[route]
layers=-2

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

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

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

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

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

[route]
layers = -1,-2,-3,-4,-5,-7

115

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

[maxpool]
size=2
stride=2

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

[route]
layers=-3

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

[convolutional]
batch_normalize=1
filters=256
size=3
stride=2
pad=1
activation=swish

[route]
layers = -1,-4,72

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

[route]
layers=-2

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

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

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

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

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

[route]
layers = -1,-2,-3,-4,-5,-7

130

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

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

============ End of Neck ============

============ Head ============

P3

[route]
layers = 100

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=24
activation=swish

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

[yolo]
mask = 0,1,2
anchors = 12,16, 19,36, 40,28,
classes=3
num=3
jitter=.1
scale_x_y = 2.0
objectness_smooth=1
ignore_thresh = .7
truth_thresh = 1
resize=1.5
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=1.0
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
new_coords=1
max_delta=2

P4

[route]
layers = 115

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=24
activation=swish

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

[yolo]
mask = 0,1,2
anchors = 12,16, 19,36, 40,28,
classes=3
num=3
jitter=.1
scale_x_y = 2.0
objectness_smooth=1
ignore_thresh = .7
truth_thresh = 1
resize=1.5
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=1.0
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
new_coords=1
max_delta=2

P5

[route]
layers = 130

[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=24
activation=swish

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

[yolo]
mask = 0,1,2
anchors = 12,16, 19,36, 40,28,
classes=3
num=3
jitter=.1
scale_x_y = 2.0
objectness_smooth=1
ignore_thresh = .7
truth_thresh = 1
resize=1.5
iou_thresh=0.2
iou_normalizer=0.05
cls_normalizer=0.5
obj_normalizer=1.0
iou_loss=ciou
nms_kind=diounms
beta_nms=0.6
new_coords=1
max_delta=2

Im having an error that says : filters in [convolutional] layer (689520) does not match classes or mask in [yolo] layer (64896)
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@redemptusabi