Skip to content

About Imagenet256 Latent #13

@weixiang-zhang

Description

@weixiang-zhang

Dear Author,

Great Work! I am working on reproducing this paper but I met some problems. I noticed that the input in cofig.py is imagenet256_latents_wds. I download the imagenet256_latent_lmdb from MaskDIT official repo. After processing it with Imdb2wds.py (MaskDIT repo), I got imagenet latent webset data. I used --resolution 32, --num_channels' 4, but the dimension I got is still (8,32,32) rather than (4,32,32) and then I failed to run this repo.

Is there any problems for my operation? Thank you

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions