e2spt_sgd

usage: prog <particle stack>
	Generate initial model from subtomogram particles using stochastic gradient descent.

Option	Type	Description
--version	None	show program's version number and exit
--reference, --ref	str	3D reference for initial model generation. No reference is used by default.
--mask	str	Mask file to be applied to initial model
--sym	str	symmetry
--filterto	float	Fiter map to frequency after each iteration. Default is 0.02
--fourier	None	gradient descent in fourier space
--batchsize	int	SGD batch size
--learnrate	float	Learning rate. Default is 0.1
--niter	int	Number of iterations
--nbatch	int	Number of batches per iteration
--applysym	None	apply symmetry
--writemovie	None	write all temporary files as a stack
--shrink	int	Shrink factor for particles
--path	str	path of output
--verbose, -v	int	verbose level [0-9], higner number means higher level of verboseness
--ppid	int	ppid
--refine	None	start from xform.align3d in header