res: Resolution to generate the projections
nimg: Images per batch used when scoring a lot of images (to avoid memory
problems)
""",
description="EMageFit scoring",
imp_module=em2d)
opts, args = parser.parse_args()
if len(args) != 6:
parser.error("wrong number of arguments")
return args
if __name__ == "__main__":
args = parse_args()
complete_fn_model = args[0]
images_sel_file = args[1]
pixel_size = float(args[2])
n_projections= int(args[3])
resolution= float(args[4])
images_per_batch= int(args[5])
all_regs = score_model(complete_fn_model,
images_sel_file,
pixel_size,
n_projections,
resolution,
images_per_batch)
for i, reg in enumerate(all_regs):
print "Score for image %s: %f" % (i, reg.get_score())
print "Global score ", em2d.get_global_score(all_regs)
if __name__ == "__main__":
import sys
if(len(sys.argv) != 7 ):
print "Parameters"
print "[1] - PDB name"
print "[2] - images selection file"
print "[3] - pixel size"
print "[4] - number of projections used for registering"
print "[5] - resolution to generate the projections"
print "[6] - images per batch used when scoring (avoid memory problems)"
sys.exit()
complete_fn_model = sys.argv[1]
images_sel_file = sys.argv[2]
pixel_size = float(sys.argv[3] )
n_projections= int(sys.argv[4])
resolution= float(sys.argv[5])
images_per_batch= int(sys.argv[6])
all_regs = score_model(complete_fn_model,
images_sel_file,
pixel_size,
n_projections,
resolution,
images_per_batch)
for reg in all_regs:
print reg.get_score()
print em2d.get_global_score(all_regs)
