usage: e2fsc.py [options] input1 input2

Simple 2 volume FSCs can be computed with e2proc3d.py. In addition to the overall fsc (saved to fsc.txt), 
it also computes a "local resolution" through the volume. These local resolutions are based on poor statistics.
The smaller the box size, the worse they are, and this is not taken into account when computing actual
resolution values. Regardless, it will give a reasonable comparison of how much variation exists in different
regions of the map, and will produce locally filtered maps with a reasonable level of detail, given the two
input volumes.

Option Type Description
--version None show program's version number and exit
--output str Output .143 resolution volume
--outfilt str Output locally filtered average volume
--outfilte str Apply the local filter to the even map as well and write to specified file
--outfilto str Apply the local filter to the odd map as well and write to specified file
--compressbits int Bits to keep when writing volumes with compression. 0->lossless floating point. Default 10 (3 significant figures)
--localsizea int Size in Angstroms of the local region to compute the resolution in
--apix float A/pix to use for the comparison (default uses Vol1 apix)
--normin str Apply a real space normalization to each input before FSC. Default normalize.edgemean. Use 'none' to disable.
--cutoff float fsc cutoff. default is 0.143
--mask str Optional mask to produce masked overall FSC curve. Must have the same dimensions as the input volumes.
--tophat None If set, the local filter is a tophat filter, otherwise a local Wiener filter is applied
--sampfscs int Will generate samples at n^3 different locations across the volume
--threads int Number of threads to run in parallel on the local computer
--ppid int Set the PID of the parent process, used for cross platform PPID
--verbose, -v int verbosity [0-9]. Larger values produce more output.