boyle/nifti/check.py
def check_img(image, make_it_3d=False):
    """Check that image is a proper img. Turn filenames into objects.

    Parameters
    ----------
    image: img-like object or str
        Can either be:
        - a file path to a Nifti image
        - any object with get_data() and get_affine() methods, e.g., nibabel.Nifti1Image.
        If niimg is a string, consider it as a path to Nifti image and
        call nibabel.load on it. If it is an object, check if get_data()
        and get_affine() methods are present, raise TypeError otherwise.

    make_it_3d: boolean, optional
        If True, check if the image is a 3D image and raise an error if not.

    Returns
    -------
    result: nifti-like
       result can be nibabel.Nifti1Image or the input, as-is. It is guaranteed
       that the returned object has get_data() and get_affine() methods.
    """
    if isinstance(image, string_types):
        # a filename, load it
        if not op.exists(image):
            raise FileNotFound(image)

        try:
            img = nib.load(image)
            if make_it_3d:
                img = _make_it_3d(img)
        except Exception as exc:
            raise Exception('Error loading image file {}.'.format(image)) from exc
        else:
            return img

    elif isinstance(image, nib.Nifti1Image) or is_img(image):
        return image

    else:
        raise TypeError('Data given cannot be converted to a nifti'
                        ' image: this object -"{}"- does not have'
                        ' get_data or get_affine methods'.format(type(image)))
def check_img(image, make_it_3d=False):
    """Check that image is a proper img. Turn filenames into objects.

    Parameters
    ----------
    image: img-like object or str
        Can either be:
        - a file path to a Nifti image
        - any object with get_data() and get_affine() methods, e.g., nibabel.Nifti1Image.
        If niimg is a string, consider it as a path to Nifti image and
        call nibabel.load on it. If it is an object, check if get_data()
        and get_affine() methods are present, raise TypeError otherwise.

    make_it_3d: boolean, optional
        If True, check if the image is a 3D image and raise an error if not.

    Returns
    -------
    result: nifti-like
       result can be nibabel.Nifti1Image or the input, as-is. It is guaranteed
       that the returned object has get_data() and get_affine() methods.
    """
    if isinstance(image, string_types):
        # a filename, load it
        if not op.exists(image):
            raise FileNotFound(image)

        try:
            img = nib.load(image)
            if make_it_3d:
                img = _make_it_3d(img)
        except Exception as exc:
            raise Exception('Error loading image file {}.'.format(image)) from exc
        else:
            return img

    elif isinstance(image, nib.Nifti1Image) or is_img(image):
        return image

    else:
        raise TypeError('Data given cannot be converted to a nifti'
                        ' image: this object -"{}"- does not have'
                        ' get_data or get_affine methods'.format(type(image)))
def check_img ( image , make_it_3d = False ) : if isinstance ( image , string_types ) : # a filename, load it if not op . exists ( image ) : raise FileNotFound ( image ) try : img = nib . load ( image ) if make_it_3d : img = _make_it_3d ( img ) except Exception as exc : raise Exception ( 'Error loading image file {}.' . format ( image ) ) from exc else : return img elif isinstance ( image , nib . Nifti1Image ) or is_img ( image ) : return image else : raise TypeError ( 'Data given cannot be converted to a nifti' ' image: this object -"{}"- does not have' ' get_data or get_affine methods' . format ( type ( image ) ) )
Check that image is a proper img. Turn filenames into objects.

    Parameters
    ----------
    image: img-like object or str
        Can either be:
        - a file path to a Nifti image
        - any object with get_data() and get_affine() methods, e.g., nibabel.Nifti1Image.
        If niimg is a string, consider it as a path to Nifti image and
        call nibabel.load on it. If it is an object, check if get_data()
        and get_affine() methods are present, raise TypeError otherwise.

    make_it_3d: boolean, optional
        If True, check if the image is a 3D image and raise an error if not.

    Returns
    -------
    result: nifti-like
       result can be nibabel.Nifti1Image or the input, as-is. It is guaranteed
       that the returned object has get_data() and get_affine() methods.
Check that image is a proper img . Turn filenames into objects .