def parse_arguments(defaultdb, usedbcache):
args = argparse2.parse_arguments(defaultdb=defaultdb)
# Parse arguments
args = argparse2.fix_args_with_cache(args)
if usedbcache:
if args.vdd:
helpers.vd(args.dbdir)
args.vdd = False
params.args = args
# Preload process args
if args.delete_global:
io.delete_global_cache()
return args
def main(defaultdb='NAUTS', usedbcache=False, default_load_all=True):
import matplotlib
matplotlib.use('Qt4Agg')
imports()
from hscom import argparse2
from hscom import helpers
from hotspotter import HotSpotterAPI as api
args = argparse2.parse_arguments(defaultdb=defaultdb)
# Parse arguments
args = argparse2.fix_args_with_cache(args)
if usedbcache:
load_all, cids = preload_args_process(args)
else:
args = argparse2.fix_args_shortnames(args)
load_all = helpers.get_flag('--load-all', default_load_all)
# Preload process args
if args.delete_global:
from hscom import fileio as io
io.delete_global_cache()
# --- Build HotSpotter API ---
hs = api.HotSpotter(args)
setcfg = args.setcfg
if setcfg is not None:
import experiment_harness
print('[main] setting cfg to %r' % setcfg)
varried_list = experiment_harness.get_varried_params_list([setcfg])
cfg_dict = varried_list[0]
#print(cfg_dict)
hs.prefs.query_cfg.update_cfg(**cfg_dict)
hs.prefs.save()
#hs.prefs.printme()
# load default preferences
hs.default_preferences()
# Load all data if needed now, otherwise be lazy
try:
hs.load(load_all=load_all)
from hscom import fileio as io
#imported from wrong module
#from hotspotter import fileio as io
db_dir = hs.dirs.db_dir
io.global_cache_write('db_dir', db_dir)
except ValueError as ex:
print('[main] ValueError = %r' % (ex, ))
if hs.args.strict:
raise
return hs
def parse_arguments(defaultdb, usedbcache):
args = argparse2.parse_arguments(defaultdb=defaultdb)
# Parse arguments
args = argparse2.fix_args_with_cache(args)
if usedbcache:
if args.vdd:
helpers.vd(args.dbdir)
args.vdd = False
if helpers.inIPython() or '--cmd' in sys.argv:
args.nosteal = True
params.args = args
# Preload process args
if args.delete_global:
io.delete_global_cache()
return args
def main(defaultdb='NAUTS', usedbcache=False, default_load_all=True):
import matplotlib
matplotlib.use('Qt4Agg')
imports()
from hscom import argparse2
from hscom import helpers
from hotspotter import HotSpotterAPI as api
args = argparse2.parse_arguments(defaultdb=defaultdb)
# Parse arguments
args = argparse2.fix_args_with_cache(args)
if usedbcache:
load_all, cids = preload_args_process(args)
else:
args = argparse2.fix_args_shortnames(args)
load_all = helpers.get_flag('--load-all', default_load_all)
# Preload process args
if args.delete_global:
from hscom import fileio as io
io.delete_global_cache()
# --- Build HotSpotter API ---
hs = api.HotSpotter(args)
setcfg = args.setcfg
if setcfg is not None:
import experiment_harness
print('[main] setting cfg to %r' % setcfg)
varried_list = experiment_harness.get_varried_params_list([setcfg])
cfg_dict = varried_list[0]
#print(cfg_dict)
hs.prefs.query_cfg.update_cfg(**cfg_dict)
hs.prefs.save()
#hs.prefs.printme()
#hs.default_preferences()
# Load all data if needed now, otherwise be lazy
try:
hs.load(load_all=load_all)
from hotspotter import fileio as io
db_dir = hs.dirs.db_dir
io.global_cache_write('db_dir', db_dir)
except ValueError as ex:
print('[main] ValueError = %r' % (ex,))
if hs.args.strict:
raise
return hs
def parse_arguments(defaultdb, usedbcache):
from hscom import argparse2
from hscom import params
from hscom import helpers as util
from hscom import fileio as io
import sys
args = argparse2.parse_arguments(defaultdb=defaultdb)
# Parse arguments
args = argparse2.fix_args_with_cache(args)
if usedbcache:
if args.vdd:
util.vd(args.dbdir)
args.vdd = False
if util.inIPython() or '--cmd' in sys.argv:
args.nosteal = True
params.args = args
# Preload process args
if args.delete_global:
io.delete_global_cache()
return args
from hscom import argparse2
from hscom import helpers
from hscom import helpers as util
from hsviz import viz
import multiprocessing
import numpy as np # NOQA
if __name__ == '__main__':
multiprocessing.freeze_support()
# Debugging vars
chip_cfg = None
#l')=103.7900s
cx_list = None
kwargs = {}
# --- LOAD TABLES --- #
args = argparse2.parse_arguments(defaultdb='NAUTS')
hs = api.HotSpotter(args)
hs.load_tables()
hs.update_samples()
# --- LOAD CHIPS --- #
force_compute = helpers.get_flag('--force', default=False)
cc2.load_chips(hs, force_compute=force_compute)
cx = helpers.get_arg('--cx', type_=int)
if not cx is None:
#tau = np.pi * 2
#hs.change_theta(cx, tau / 8)
viz.show_chip(hs, cx, draw_kpts=False, fnum=1)
viz.show_image(hs, hs.cx2_gx(cx), fnum=2)
else:
print('usage: feature_compute.py --cx [cx]')
exec(viz.df2.present())
from hscom import argparse2
import multiprocessing
if __name__ == '__main__':
multiprocessing.freeze_support()
print('[fc2] __main__ = feature_compute2.py')
# Read Args
cx = helpers.get_arg('--cx', type_=int)
delete_features = helpers.get_flag('--delete-features', default=False)
nRandKpts = helpers.get_arg('--nRandKpts', type_=int)
# Debugging vars
feat_cfg = None
cx_list = None
kwargs = {}
# --- LOAD TABLES --- #
args = argparse2.parse_arguments(db='NAUTS')
hs = api.HotSpotter(args)
hs.load_tables()
# --- LOAD CHIPS --- #
hs.update_samples()
hs.load_chips()
# Delete features if needed
if delete_features:
fc2.clear_feature_cache(hs)
# --- LOAD FEATURES --- #
fc2.load_features(hs)
if not cx is None:
viz.show_chip(hs, cx, nRandKpts=nRandKpts)
else:
print(
'usage: feature_compute.py --cx [cx] --nRandKpts [num] [--delete-features]'