def do_import(): #try: global StackedConvNet, theano,T,conv,pool, save_model, load_model import theano import theano.tensor as T from theano.tensor.nnet import conv from theano.tensor.signal import pool from e2tomoseg_convnet import import_theano, StackedConvNet, save_model, load_model import_theano() boxerConvNet.import_done=True
#!/usr/bin/env python
# Muyuan Chen 2017-10
from past.utils import old_div
from future import standard_library
standard_library.install_aliases()
from builtins import range
from EMAN2 import *
import numpy as np
import threading
import queue
import theano
import theano.tensor as T
from theano.tensor.nnet import conv
from theano.tensor.signal import pool
from e2tomoseg_convnet import import_theano, StackedConvNet, save_model, load_model
import_theano()
def main():
usage = """
train network:
e2convnet_classifyptcls.py [good_refs.hdf] [bad_refs.hdf]
sort particle set (output to xx/xx_sort.lst)
e2covnet_classifyptcls.py [all_ptcls.lst]
"""
parser = EMArgumentParser(usage=usage, version=EMANVERSION)
#parser.add_argument("--autobox", action="store_true", default=False ,help="box particles")
#parser.add_argument("--boxsz", type=int,help="box size of input particles. Necessery for applying network", default=256)