def METHOD_NAME(self):
    self.addUsageLine('DeepEMhancer. Apply a CCN to post-process an EM volume to obtain a masked and sharpened-like volume in an automatic fashion\n.'
                      'Normalization of the input volume is key, so unmasked volumes should be provided as input. There are 3 normalization options: \n'
                      '1) Automatic (default)\n'
                      '2) Providing the statistics of the noise'
                      '3) Using a binary mask')
    ## params
    self.addParamsLine(' -i <inputVol>        : input volume to postprocess (or half map 1). Only mrc format allowed ')
    self.addParamsLine(' [-i2 <inputVol>]     : input half map 2. Only mrc format allowed ')
    self.addParamsLine(' -o <outputVol>       : output fname to save postprocessed volume. Only mrc format allowed ')
    self.addParamsLine(' [ --sampling_rate <AperVoxel>  ] :  (optional) The sampling rate of the volume. If not provided, it will be read from  -i header')
    self.addParamsLine(' [ --checkpoint <deepLearningModel> ]  : (optional) deep learning model filename. If not provided, default model will be used')
    self.addParamsLine(' [ --cleaningStrengh <F=0.1> ]  : (optional)  Max size of connected componemts to remove 0<s<1 or -1 to deactivate. Default: 0.1"')
    self.addParamsLine(' [--sizeThr <sizeThr> <F=0.8> ]: Failure threshold. Fraction of the micrograph predicted as contamination to ignore predictions. '+
                         '. Ranges 0..1. Default 0.8')
    self.addParamsLine('[ -g <gpuId>   <N=0> ] : GPU id to employ. Default 0. use -1 for CPU-only computation or "all" to use all devices found in '
                       'CUDA_VISIBLE_DEVICES (option for slurm)')
    self.addParamsLine('[ -b <batchSize>   <N=6> ] : Number of cubes to process simultaneously. Lower it if CUDA Out Of Memory error happens and increase it if low GPU performance observed')
    self.addParamsLine(' [--binaryMask <binMask>]        : Normalization-> Binary mask volume to compute stats for normalization. Only mrc format allowed ')
    self.addParamsLine(' [--noise_stats_mean <mean> ]   : Normalization-> Noise stats mean  for normalization ')
    self.addParamsLine(' [--noise_stats_std <std> ]   : Normalization-> Noise stats standard deviation for normalization ')
    ## examples
    self.addExampleLine('xmipp_deep_volume_postprocessing -i path/to/inputVol.mrc -o path/to/outputVol.mrc ')