2b0a3cd34edf87da4828592052b1e889f76d09c4,nilearn/image/image.py,,_compute_mean,#Any#Any#Any#Any#Any#,299

Before Change

        mean_img = _smooth_array(mean_img, affine=np.eye(4), fwhm=smooth,
                                 ensure_finite=True, copy=False)
        mean_img[nan_mask] = np.nan
    return mean_img, imgs.get_affine()


def mean_img(niimgs, target_affine=None, target_shape=None,
             verbose=False, memory=None, n_jobs=1):

After Change

    if mean_img.ndim == 4:
        mean_img = mean_img.mean(axis=-1)
    mean_img = cache(resampling.resample_img, memory)(
        nibabel.Nifti1Image(mean_img, imgs.get_affine()),
        target_affine=target_affine, target_shape=target_shape)
    affine = mean_img.get_affine()
    mean_img = mean_img.get_data()

    if smooth:
        nan_mask = np.isnan(mean_img)

Instances