def main():
import argparse
qid = os.environ.get('QUEUEID', None)
parser = argparse.ArgumentParser(
description='Fit cell from batch to model')
parser.add_argument('cell', type=str, help='Batch ID containing data')
parser.add_argument('batch', type=str, help='Cell ID to fit')
parser.add_argument('--wcg_n', type=int, help='wcg rank', default=2)
parser.add_argument('--fir_n', type=int, help='FIR ntaps', default=15)
parser.add_argument('--shuffle-phase',
action='store_true',
help='Shuffle phase')
parser.add_argument('--shuffle-stream',
action='store_true',
help='Shuffle stream')
parser.add_argument('model',
type=str,
help='Model name (ignored)',
nargs='?')
args = parser.parse_args()
if qid is not None:
db.update_job_start(qid)
nems.utils.progress_fun = db.update_job_tick
do_fit(args.batch, args.cell, args.wcg_n, args.fir_n, args.shuffle_phase,
args.shuffle_stream)
if qid is not None:
db.update_job_complete(qid)
'eyelid_left_x': lx,
'eyelid_left_y': ly,
'eyelid_top_x': tx,
'eyelid_top_y': ty,
'eyelid_right_x': rx,
'eyelid_right_y': ry,
'eyelid_bottom_x': bx,
'eyelid_bottom_y': by
},
'cnn_modelpath': modelpath
}
if os.path.isdir(save_path) != True:
os.system("mkdir {}".format(save_path))
os.system("chmod a+w {}".format(save_path))
print("created new directory {0}".format(save_path))
# make sure the directory is writeable
os.system("chmod a+w {}".format(save_path))
save_file = os.path.join(save_path, results_name)
# write the results
with open(save_file, 'wb') as fp:
pickle.dump(results, fp, protocol=pickle.HIGHEST_PROTOCOL)
log.info("finished fit")
if queueid:
nd.update_job_complete(queueid)
