e2euler_refine

usage: e2euler_refine.py [options]
	Takes as input/output a set of class-averages or particles with Euler angles in their header, and a 3-D map.
	Optimizes orientation based on agreement with the map. Initial orientations should be close to correct.

Option	Type	Description
--input	None	The input projections. Project should usually have the xform.projection header attribute, which is used for slice insertion
--ref_volume	None	The reference volume for orientation determination.
--input_model	None	If the class-averages have the model_id parameter (produced by e2refinemulti.py), this will use only class-averages with the specified model_id for the reconstruction.
--no_wt	None	This argument turns automatic weighting off causing all images to be weighted by 1. If this argument is not specified images inserted into the reconstructed volume are weighted by the number of particles that contributed to them (i.e. as in class averages), which is extracted from the image header (as the ptcl_repr attribute).
--verbose, -v	int	verbose level [0-9], higher number means higher level of verboseness
--threads	int	Number of threads to run in parallel on a single computer. This is the only parallelism supported by e2make3dpar
--ppid	int	Set the PID of the parent process, used for cross platform PPID