Darkflow: AssertionError: labels.txt and cfg/yolov2.cfg indicate inconsistent class numbers

[zef1611]

so i try to use the code from https://github.com/markjay4k/YOLO-series/blob/master/part2%20-%20Processing%20Images%20with%20YOLO%20and%20openCV.ipynb
and i try to change yolo.cfg to yolov2.cfg and then this error appears can someone please help me

[keides2]

I have the same issue.
Did you create weights file using darknet?
I did it.

[ss199302]

@keides2 hello, I create weights file using darknet,then AssertionError: labels.txt and cfg/yolov2.cfg indicate inconsistent class numbers,can i solve this question?

[keides2]

@ss199302 Hi, Does the number of classes of objects described in labes.txt match with the number of classes described on line 244 of cfg / yolov2.cfg?

[abecus]

if you are using dark flow then,

copy this:-

person
bicycle
car
motorbike
aeroplane
bus
train
truck
boat
traffic light
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
wine glass
cup
fork
knife
spoon
bowl
banana
apple
sandwich
orange
broccoli
carrot
hot dog
pizza
donut
cake
chair
sofa
pottedplant
bed
diningtable
toilet
tvmonitor
laptop
mouse
remote
keyboard
cell phone
microwave
oven
toaster
sink
refrigerator
book
clock
vase
scissors
teddy bear
hair drier
toothbrush

--
till toothbrush.
copied from coco.names from cfg folder
and it worked for me.

[carlchandev]

if you are using dark flow then,

copy this:-
person
bicycle
car
motorbike
aeroplane
bus
train
truck
boat
traffic light
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
wine glass
cup
fork
knife
spoon
bowl
banana
apple
sandwich
orange
broccoli
carrot
hot dog
pizza
donut
cake
chair
sofa
pottedplant
bed
diningtable
toilet
tvmonitor
laptop
mouse
remote
keyboard
cell phone
microwave
oven
toaster
sink
refrigerator
book
clock
vase
scissors
teddy bear
hair drier
toothbrush

--
till toothbrush.
copied from coco.names from cfg folder
and it worked for me.

THANKS MAN!! This works for me. I spent like 2 hours to find this.

[Narayanprasai]

I used my own dataset to train model in darkflow which contains 7 classes and i have mentioned those classes in labels.txt as well. I've changed the no. of filters to 60 and classes to 7 in .cfg file as well but even though I'm having an error. Which reads:

Parsing ./cfg/yolo.cfg
Parsing cfg/yolo-7c.cfg
Loading bin/yolo.weights ...
Successfully identified 203934260 bytes
Finished in 0.006638526916503906s
Traceback (most recent call last):
File "/home/mirait/anaconda3/envs/test/bin/flow", line 6, in
exec(compile(open(__file__).read(), __file__, 'exec'))
File "/home/mirait/Desktop/cvyolo/darkflow/flow", line 6, in
cliHandler(sys.argv)
File "/home/mirait/Desktop/cvyolo/darkflow/darkflow/cli.py", line 26, in cliHandler
tfnet = TFNet(FLAGS)
File "/home/mirait/Desktop/cvyolo/darkflow/darkflow/net/build.py", line 64, in __init__
self.framework = create_framework(*args)
File "/home/mirait/Desktop/cvyolo/darkflow/darkflow/net/framework.py", line 59, in create_framework
return this(meta, FLAGS)
File "/home/mirait/Desktop/cvyolo/darkflow/darkflow/net/framework.py", line 15, in __init__
self.constructor(meta, FLAGS)
File "/home/mirait/Desktop/cvyolo/darkflow/darkflow/net/yolo/__init__.py", line 24, in constructor
).format(meta['model'])
AssertionError: labels.txt and cfg/yolo-7c.cfg indicate inconsistent class numbers

[Narayanprasai]

my cfg file is:

[net]
batch=64
subdivisions=8
width=416
height=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

learning_rate=0.001
max_batches = 40100
policy=steps
steps=-1,100,20000,30000
scales=.1,10,.1,.1

[convolutional]
batch_normalize=1
filters=16
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=1

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

#

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

[convolutional]
size=1
stride=1
pad=1
filters=60
activation=linear

[region]
anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52
bias_match=1
classes=7
coords=4
num=5
softmax=1
jitter=.2
rescore=1

object_scale=5
noobject_scale=1
class_scale=1
coord_scale=1

absolute=1
thresh = .5
random=1

my labels.txt file contains:
1.bear
2.boar
3.cat
4.crow
5.deer
6.dog
7.monkey

but i'm getting error which reads:

AssertionError: labels.txt and cfg/tiny-yolo-voc-7c.cfg indicate inconsistent class numbers

[ozanpkr]

my cfg file is:

[net]
batch=64
subdivisions=8
width=416
height=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

learning_rate=0.001
max_batches = 40100
policy=steps
steps=-1,100,20000,30000
scales=.1,10,.1,.1

[convolutional]
batch_normalize=1
filters=16
size=3
stride=1
pad=1
activation=leaky

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=2

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

[maxpool]
size=2
stride=1

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

#

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

[convolutional]
size=1
stride=1
pad=1
filters=60
activation=linear

[region]
anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52
bias_match=1
classes=7
coords=4
num=5
softmax=1
jitter=.2
rescore=1

object_scale=5
noobject_scale=1
class_scale=1
coord_scale=1

absolute=1
thresh = .5
random=1

my labels.txt file contains:
1.bear
2.boar
3.cat
4.crow
5.deer
6.dog
7.monkey

but i'm getting error which reads:

AssertionError: labels.txt and cfg/tiny-yolo-voc-7c.cfg indicate inconsistent class numbers

Hi brother,
I solved that.You can solve that with change coco.names .Because it used coco.names for get labels sometimes.Just open coc.names ,delete all and put your labels like label.txt structures

[rfernandezv]

I solved that.You can solve that with change coco.names .Because it used coco.names for get labels sometimes.Just open coc.names ,delete all and put your labels like label.txt structures

This works for me. Thanks