AstraReconGpu

>>> disp -avv

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 8) AstraReconGpu(savu.plugins.reconstructions.astra_recons.astra_recon_gpu)         
  Wrapper around the Astra toolbox for gpu reconstruction.                           
    1)               init_vol : None
    Dataset to use as volume initialiser (doesn't currently work with preview).
    2)                preview : []
    A slice list of required frames.
    3)                    log : True
    Take the log of the data before reconstruction (True or False).
    4)              algorithm : FBP_CUDA
    Reconstruction type (FBP_CUDA|SIRT_CUDA| SART_CUDA (not currently
    working)|CGLS_CUDA|FP_CUDA|BP_CUDA| SIRT3D_CUDA|CGLS3D_CUDA).
    5)           n_iterations : 1
    Number of Iterations - only valid for iterative algorithms.
    6)               res_norm : False
    Output the residual norm at each iteration (Error in the solution - iterative
    solvers only).
    7)     centre_of_rotation : 0.0
    Centre of rotation to use for the reconstruction.
    8)             FBP_filter : ram-lak
    The FBP reconstruction filter type (none|ram-lak| shepp-
    logan|cosine|hamming|hann|tukey|lanczos|triangular|gaussian| barlett-
    hann|blackman|nuttall|blackman-harris|blackman-nuttall| flat-top|kaiser|parzen).
    9)            in_datasets : []
    Create a list of the dataset(s) to process.
   10)                  ratio : 0.95
    Ratio of the masks diameter in pixels to the smallest edge size along given axis.
   11)           out_datasets : []
    Create a list of the dataset(s) to create.
   12)             centre_pad : False
    Pad the sinogram to centre it in order to fill the reconstructed volume ROI for
    asthetic purposes. NB: Only available for selected algorithms and will be ignored
    otherwise. WARNING: This will significantly increase the size of the data and the
    time to compute the reconstruction).
   13)              outer_pad : False
    Pad the sinogram width to fill the reconstructed volume for asthetic purposes.
    Choose from True (defaults to sqrt(2)), False or float <= 2.1. NB: Only available
    for selected algorithms and will be ignored otherwise. WARNING: This will
    increase the size of the data and the time to compute the reconstruction).
   14)               log_func : np.nan_to_num(-np.log(sino))
    Override the default log function.
   15)             force_zero : [None, None]
    Set any values in the reconstructed image outside of this range to zero.
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