visual prompts arguments

[Songinpyo]

First of all, thanks to your great work!

I wonder about the arguments related with "visual prompts".
To run your code on custom dataset I'm preparing to extract features.

When I tried to extract visual features, i got some troubles.

self.encoder = CLIPEncoder(config, self.args.prompt_type, self.args.visual_prompt_projection_factor,
AttributeError: 'Namespace' object has no attribute 'visual_prompt_projection_factor'

Actually, not only about 'visual_prompt_projection_factor'.
I also can't find about these informations in your args file.

        self.encoder = CLIPEncoder(config, self.args.prompt_type, self.args.visual_prompt_projection_factor,
                                   self.args.visual_prompt_projection_layer, self.args.visual_model_hidden_size,
                                   self.args.visual_prompt_num_layer, self.args.visual_prompt_num_tokens,
                                   self.args.visual_prompt_initialization, self.args.visual_prompt_patch_size,
                                   self.args.visual_prompt_dropout_rate, self.args.visual_prompt_like_linear_layer_each_transformer_layer)

And when extract the features, I think we would not use promts and projections right?
Would you help me to shoot this troubles?

I think this will affect to follow-up tasks like training and testing.

[engindeniz]

Thank you for your interest in our project!

The CLIPEncoder mentioned is incorporated exclusively within our model's architecture. It is not used for feature extraction. You can check Raw Data Processing Guidelines and use this code to extract features for a custom dataset.