def loadass():
dlog = icfg.getdir('log')
ass = idlabpro.PData()
nld = None
ftst = icfg.readflst('test')
cls = icls.getcls(ftst)
for fn in sorted(os.listdir(dlog)):
if not re.match('hmm-0_0_assess\.', fn): continue
ass.Restore(os.path.join(dlog, fn))
ass.Select(ass, 0, 1)
dat = ass.tonumpy().reshape((1, -1))
if nld is None: nld = dat
else: nld = np.concatenate((nld, dat), axis=0)
if len(ftst) != nld.shape[-1]:
raise ValueError("test.flst and assess missmatch in len")
return (ftst, nld)
def argv2resfns(pat, fns):
dlog = icfg.getdir('log')
fns = [*fns]
if len(fns) == 0: fns = [dlog]
i = 0
while i < len(fns):
if not os.path.exists(fns[i]): fns[i] = os.path.join(dlog, fns[i])
if os.path.isdir(fns[i]):
ins = [
os.path.join(fns[i], f) for f in os.listdir(fns[i])
if f[:len(pat)] == pat and f[-4:] == '.npy'
]
fns = fns[:i] + ins + fns[i + 1:]
i += len(ins)
else:
i += 1
return fns
import numpy as np
import os
import sys
import importlib
sys.path.append(os.environ['UASR_HOME'] + '-py')
import ipl
import icfg
import idnn
if len(sys.argv) < 2: raise ValueError("Usage: " + sys.argv[0] + " CFG {PAR}")
icfg.Cfg(sys.argv[1])
dlog = icfg.getdir('log')
dn = os.path.join(dlog, 'dnnrnd')
res = []
for fn in os.listdir(dn):
if fn[-8:] != '_arg.npy': continue
fna = os.path.join(dn, fn)
res.append({'fna': fna})
fns = fna[:-8] + '_stat.npy'
if os.path.exists(fns): res[-1]['fns'] = fns
fnx = fna[:-8] + '_stat_allsen.npy'
if os.path.exists(fnx): res[-1]['fnx'] = fnx
res[-1]['fnp'] = fna[:-8] + '_par.npy'
def arg2par(arg):
def sigget(f):
dsig = icfg.getdir('sig')
sigext = '.' + icfg.get('sig.ext', 'wav')
sig = isig.load(os.path.join(dsig, f['fn'] + sigext)).rmaxis()
sig.inc = [1 / icfg.get('sig.srate')]
return sig
stat.append(np.array(r['stat']))
print('/dnnrnd_'+str(int(time.time())))
np.save(dlog+'/dnnrnd/dnnrnd_'+str(int(time.time()))+'_arg.npy',kwargs)
np.save(dlog+'/dnnrnd/dnnrnd_'+str(int(time.time()))+'_par.npy',xpar)
if len(stat)==3: np.save(dlog+'/dnnrnd/dnnrnd_'+str(int(time.time()))+'_stat.npy',stat)
def dnnrndloop():
while not os.path.exists('stop'): dnnrnd()
if len(sys.argv)<2: raise ValueError("Usage: "+sys.argv[0]+" CFG [-n]")
icfg.Cfg(*sys.argv[1:])
ftrn=icfg.readflst('train')
ftst=icfg.readflst('test')
dmod=icfg.getdir('model')
dlog=icfg.getdir('log')
sen=getsensors()
regression=icfg.get('trn.regression')==True
senuse=sen
feause=['pfa','sfa','sig']
clsuse=['hmm','svm','cnnb','cnn','dnn']
if not icfg.get('senuse') is None: senuse=icfg.get('senuse').split(',')
if not icfg.get('feause') is None: feause=icfg.get('feause').split(',')
if not icfg.get('clsuse') is None: clsuse=icfg.get('clsuse').split(',')
labmap={}
if icfg.get('db')=='izfp/cfk': labmap={'Z0[0-2]':'Z00'}
maxjob=18