class_docstr: Basic wrapper around several `DataLoader`s with factory methods for computer vision problems
class_docstr_tok: ["Basic","wrapper","around","several","`","DataLoader","`","s","with","factory","methods","for","computer","vision","problems"]
docstr: Create from the name attrs of `fnames` in `path`s with re expression `pat`
docstr_tok: ["Create","from","the","name","attrs","of","`","fnames","`","in","`","path","`","s","with","re","expression","`","pat","`"]
code: def from_name_re(cls, path, fnames, pat, **kwargs):
      "Create from the name attrs of `fnames` in `path`s with re expression `pat`"
      return cls.from_name_func(
          path, fnames, RegexLabeller(pat), **kwargs
      )
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from ..data.all import *
  from .core import *
  import types
label_desc: Use image node_id 5 for calling the ImageDataLoaders obj's underlying member method code with example usage: obj.from_name_re(cls, path, fnames, pat) and returns: cls