Dependency issue?

[johnk2hawaii]

Hi all, just discovered this great tool. I had an issue upon training the model in colab while following this example very closely

I used !pip install --upgrade git+https://github.com/keras-team/keras-cv -q ``
so I figure the dependencies are in check.

My imports are in the following order:

import os
import xml.etree.ElementTree as ET
import tensorflow as tf
import keras_cv
import keras
import requests
import zipfile

from tqdm.auto import tqdm
from tensorflow import keras
from keras_cv import bounding_box
from keras_cv import visualization

Upon executing yolo.fit I get the following error:

/usr/local/lib/python3.11/dist-packages/keras/src/models/functional.py:237: UserWarning: The structure of inputs doesn't match the expected structure.
Expected: ['keras_tensor']
Received: inputs=Tensor(shape=(8, 640, 640, 3))
warnings.warn(msg)

I am using
keras.version 3.8.0
tf.version 2.18.0
keras_cv.version .10.0
'
I read some of updated notes but I have not found the magic bullet to get this to work

[sachinprasadhs]

Thanks for reporting the issue! We have consolidated the development of KerasCV into the new KerasHub package, which supports image, text, and multi-modal models. KerasHub will support all the core functionality of KerasCV.

KerasHub can be installed with !pip install -U keras-hub. Documentation and guides are available at keras.io/keras_hub.

With our focus shifted to KerasHub, we are not planning any further development or releases in KerasCV. If you encounter a KerasCV feature that is missing from KerasHub, or would like to propose an addition to the library, please file an issue with KerasHub.

[johnk2hawaii]

I realize I didn't send you the full crash report sorry but thanks for the update. For anyone that cares, I did however manage to get it to work in my current environment as:

!pip install --upgrade git+https://github.com/keras-team/keras-cv -q
!pip uninstall tensorflow
!pip install tensorflow==2.16.2

import os
import xml.etree.ElementTree as ET
import tensorflow as tf
import keras_cv
import requests
import zipfile

from tqdm.auto import tqdm
from tensorflow import keras
from keras_cv import bounding_box
from keras_cv import visualization

I suggest that an updated example implementation of YOLOV8 would be helpful to the community. I am finding it a bit difficult to navigate since the move to KerasHub.

Cheers and good work