Aki1991

Hi all, While using the fine tune steps mentioned [here](https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit#fine-tuning), I am getting error `Did not find decoder for lvis:1.3.0. Please specify decoders for all datasets in DECODERS`. Can anyone...

Hi @hansa15100, I was finally able to solve the error. At `scenic/scenic/projects/owl_vit/preprocessing/input_pipeline.py` line no 65, there is a list of DECODERS. You have to change the version number of livs...

Hi @jaybdub, Is there any update on the training of this model on custom dataset? This model is used in metropolis, so It would be incredibly helpful to have this...

Hi @TaugenichtsZZY, At which step are you having a problem? Did you try [this](https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit#fine-tuning) step to fine-tune your model? First, you will have to create dataset for your custom objects...

Hi @TaugenichtsZZY, yes, it is a bit confusing, creating the dataset for tfds. You can take some hint from [lvis builder](https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/datasets/lvis/lvis_dataset_builder.py). On the repository, you will find many other datasets...

`features=tfds.features.FeaturesDict` and def` _generate_examples(self, path):` are main things you should focus on. `features` includes all the features that you want to have in your dataset, like, image_id, name, height, width,...

Have you found a way to fine tune Nanoowl model for custom dataset?

I am getting same error. did you find any solution? Were you able to find any info on what might be the reason for this error? Any kind of information.

I was finally able to solve the error. At `scenic/scenic/projects/owl_vit/preprocessing/input_pipeline.py` line no 65, there is a list of DECODERS. You have to change the version number of livs to 1.3.0....

`AttributeError: module 'jax.random' has no attribute 'PRNGKeyArray'` can be solved by changing `jax.random.PRNGKeyArray` with `jax.Array`. But it is not solving ``` flops = analysis['flops'] TypeError: 'NoneType' object is not subscriptable...