running:
python keras-retinanet/keras_retinanet/bin/train.py --snapshot-path models csv image_labels/train_data.csv image_labels/class.csv --val-annotations image_labels/val_data.csv
error:
TypeError: type object got multiple values for keyword argument 'training'
I've get the same error
I've got the same error. Why did it occur?
@GlitchBox I think that this implementation is not compartable with tf 2.x and keras 2.3.1
You can use my fork of it witch supports the latest tf and keras versions
https://github.com/lacmus-foundation/lacmus
@gosha20777 thank you so much!
A PR to fix compatibility would be welcome :)
use keras==2.3.1
It was working for me in the beginning, but the problem started when I changed the anchors in the config file. Also tried keras==2.3.1 but the problem still exists.
Any updates here?
Tried running it with keras==2.3.1 but another error came up
AttributeError: module 'tensorflow.python.framework.ops' has no attribute '_TensorLike'
I am using:
!pip install tensorflow==1.14.0
!pip install keras==2.3.0
!pip install numpy==1.16.1
and now my !keras_retinanet/bin/train.py --freeze-backbone --random-transform --weights {'/content/keras-retinanet/_pretrained_model.h5'} --batch-size 8 --steps 500 --epochs 10 csv annotations.csv classes.csv
is finally training epoch
Any way to make it work with tensorflow 2.3.0? I've managed to make it work with 2.2.0 though.
Any updates here?
Tried running it with keras==2.3.1 but another error came up
AttributeError: module 'tensorflow.python.framework.ops' has no attribute '_TensorLike'
Got the same error with tf 2.3 and keras 2.3.1
changing to keras 2.4.0 fixed this for me
pip install tensorflow==2.3.1 && pip install keras==2.4.0 worked for me and got past the AttributeError: module 'tensorflow.python.framework.ops' has no attribute '_TensorLike' error I was getting with tf 2.3 + keras 2.3.1
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Most helpful comment
Any updates here?
Tried running it with keras==2.3.1 but another error came up
AttributeError: module 'tensorflow.python.framework.ops' has no attribute '_TensorLike'