code: def decfa_to_float(img_orig):
      """
      Convert a nifti-compliant directional-encoded color FA image into a
      nifti image with RGB encoded in floating point resolution.
  
      Parameters
      ----------
      img_orig : Nifti1Image class instance.
          Contains encoding of the DEC FA image with a 3D volume of data, where
          each element is a (R, G, B) tuple in uint8.
  
      Returns
      -------
      img : Nifti1Image class instance with float dtype.
  
      Notes
      -----
      For a description of this format, see:
  
      https://nifti.nimh.nih.gov/nifti-1/documentation/nifti1fields/nifti1fields_pages/datatype.html
      """
  
      data_orig = np.asanyarray(img_orig.dataobj)
      out_data = np.zeros(data_orig.shape + (3,), dtype=np.uint8)
  
      for ii in np.ndindex(img_orig.shape[:3]):
          val = data_orig[ii]
          out_data[ii] = np.array([val[0], val[1], val[2]])
  
      new_hdr = img_orig.header
      new_hdr["dim"][4] = 3
  
      # Remove the original intent
      new_hdr.set_intent(0)
      new_hdr.set_data_dtype(float)
  
      return Nifti1Image(
          out_data, affine=img_orig.affine, header=new_hdr
      )
  
imports: import logging
  import numbers
  import os
  from dipy.utils.optpkg import optional_package
  import dipy
  import nibabel
  from nibabel.streamlines import detect_format
  from nibabel import Nifti1Image
  import numpy
  from trx import trx_file_memmap
label_desc: Use image node_id 4 for calling a global function with example usage: decfa_to_float(img_orig) and returns: Nifti1Image