class Staircase(object):
def __init__(self, subject, pre_fix):
self.logger = Logger(subject, pre_fix)
self.trialsDesired = 50
startVal = 0.5
nReversals = 10
stepSizes = [0.03, 0.01, 0.01, 0.005, 0.005, 0.002, 0.001]
nTrials = 50
nUp = 1
nDown = 3
stepType = "lin"
minVal = 0
maxVal = 0.5
self.staircase_obj = StaircaseObject(startVal, nReversals, stepSizes,
nTrials, nUp, nDown, stepType,
minVal, maxVal)
self.logger.write("Staircase for Stereo Threshold measurement")
self.logger.write("Staircase object is initiated with "
"startVal:%.2f "
"nReversals:%.2f "
"stepSizes:%s "
"nTrials:%.2f "
"nUp:%.2f "
"nDown:%.2f "
"minVal:%.2f "
"maxVal:%.2f " %
(startVal, nReversals, stepSizes, nTrials, nUp,
nDown, minVal, maxVal))
self.logger.write("Staircase trials is set to %d" % nTrials)
def run(self, disparity):
self.logger.write("=" * 36)
self.logger.write("Staircase for Stereo Threshold measurement")
self.logger.write("=" * 36)
# disc demo
disparity.set_disparity(0.1)
disparity.demo()
for i, disp in enumerate(self.staircase_obj):
disparity.set_disparity(disp)
response = disparity.run()
interval = disparity.get_cross_interval() # [1,2]
self.logger.write("Trial %d :\n"
"\tdisparity %.2f,"
"\tcross at interval %d" % (i, disp, interval))
self.logger.write("\tobserver reports %s" % response)
# Update the pdf
self.staircase_obj.update(int(response))
# Get final estimate.
t = self.staircase_obj.mean(final=6)
self.logger.write('\nmean of final 6 reversals = %.3f\n' % t)
self.logger.write_filestamp()
class Staircase(object):
def __init__(self, subject, pre_fix):
self.logger = Logger(subject, pre_fix)
self.trialsDesired = 50
startVal = 0.5
nReversals = 10
stepSizes = [0.03, 0.01, 0.01, 0.005, 0.005, 0.002, 0.001]
nTrials = 50
nUp = 1
nDown = 3
stepType = "lin"
minVal = 0
maxVal = 0.5
self.staircase_obj = StaircaseObject(
startVal, nReversals, stepSizes,
nTrials, nUp, nDown,
stepType, minVal, maxVal)
self.logger.write("Staircase for Stereo Threshold measurement")
self.logger.write("Staircase object is initiated with "
"startVal:%.2f "
"nReversals:%.2f "
"stepSizes:%s "
"nTrials:%.2f "
"nUp:%.2f "
"nDown:%.2f "
"minVal:%.2f "
"maxVal:%.2f "
%(startVal,nReversals,stepSizes,nTrials,nUp,nDown,minVal,maxVal))
self.logger.write("Staircase trials is set to %d" %nTrials)
def run(self, disparity):
self.logger.write("="*36)
self.logger.write("Staircase for Stereo Threshold measurement")
self.logger.write("="*36)
# disc demo
disparity.set_disparity(0.1)
disparity.demo()
for i, disp in enumerate(self.staircase_obj):
disparity.set_disparity(disp)
response = disparity.run()
interval = disparity.get_cross_interval() # [1,2]
self.logger.write("Trial %d :\n"
"\tdisparity %.2f,"
"\tcross at interval %d" %(i, disp, interval))
self.logger.write("\tobserver reports %s" %response)
# Update the pdf
self.staircase_obj.update(int(response))
# Get final estimate.
t = self.staircase_obj.mean(final=6)
self.logger.write('\nmean of final 6 reversals = %.3f\n' %t)
self.logger.write_filestamp()
class EmuStaircase(object):
def __init__(self, logfile):
self.logfile = logfile
params_line = self.get_init_params()
startVal = eval(
re.compile(r'startVal:([0-9.]+) ').findall(params_line)[0])
nReversals = eval(
re.compile(r'nReversals:([0-9.]+) ').findall(params_line)[0])
stepSizes = eval(
re.compile(r'stepSizes:(\[.+\]) ').findall(params_line)[0])
nTrials = eval(
re.compile(r'nTrials:([0-9.]+) ').findall(params_line)[0])
nUp = eval(re.compile(r'nUp:([0-9.]+) ').findall(params_line)[0])
nDown = eval(re.compile(r'nDown:([0-9.]+) ').findall(params_line)[0])
stepType = "lin"
minVal = eval(re.compile(r'minVal:([0-9.]+) ').findall(params_line)[0])
maxVal = eval(re.compile(r'maxVal:([0-9.]+)').findall(params_line)[0])
self.logger = ModLogger(self.logfile, 'recomp')
self.staircase_obj = StaircaseObject(startVal, nReversals, stepSizes,
nTrials, nUp, nDown, stepType,
minVal, maxVal)
self.logger.write("Staircase for Stereo Threshold measurement")
self.logger.write("Staircase object is initiated with "
"startVal:%.2f "
"nReversals:%.2f "
"stepSizes:%s "
"nTrials:%.2f "
"nUp:%.2f "
"nDown:%.2f "
"minVal:%.2f "
"maxVal:%.2f " %
(startVal, nReversals, stepSizes, nTrials, nUp,
nDown, minVal, maxVal))
self.logger.write("Staircase trials is set to %d" % nTrials)
def run(self):
self.logger.write("=" * 36)
self.logger.write("Staircase for Stereo Threshold measurement")
self.logger.write("=" * 36)
# disc demo
data = self.collect_log_data()
for i, trial_data in enumerate(data):
disp, interval, response = trial_data
try:
self.staircase_obj.next()
except:
break
self.logger.write("Trial %d :\n"
"\tdisparity %.2f,"
"\tcross at interval %d" % (i, disp, interval))
self.logger.write("\tobserver reports %s" % response)
# Update the pdf
self.staircase_obj.update(int(response))
# Get final estimate.
t = self.staircase_obj.mean(final=6)
self.logger.write('\nmean of final 6 reversals = %.3f\n' % t)
self.logger.write_filestamp()
def get_init_params(self):
params_line_re = re.compile(
r'^Staircase object is initiated with (.+)$')
with open(self.logfile) as log:
for line in log.readlines():
params_str = params_line_re.findall(line)
if params_str:
return params_str[0].strip()
def collect_log_data(self):
data = []
disparity_re = re.compile(r'^\tdisparity (.+),')
cross_at_re = re.compile(r'cross at interval ([1|2])')
report_re = re.compile(r'\tobserver reports (.+)$')
disparity, cross_at, report = None, None, None
with open(self.logfile) as log:
for line in log.readlines():
disparity_str = disparity_re.findall(line)
cross_at_str = cross_at_re.findall(line)
report_str = report_re.findall(line)
if disparity_str:
disparity = float(disparity_str[0].strip())
if cross_at_str:
cross_at = int(cross_at_str[0].strip())
if report_str:
report = True if report_str[0].strip() == 'True' else False
data.append((disparity, cross_at, report))
return data
class EmuStaircase(object):
def __init__(self, logfile):
self.logfile = logfile
params_line = self.get_init_params()
startVal = eval(re.compile(r'startVal:([0-9.]+) ').findall(params_line)[0])
nReversals = eval(re.compile(r'nReversals:([0-9.]+) ').findall(params_line)[0])
stepSizes = eval(re.compile(r'stepSizes:(\[.+\]) ').findall(params_line)[0])
nTrials = eval(re.compile(r'nTrials:([0-9.]+) ').findall(params_line)[0])
nUp = eval(re.compile(r'nUp:([0-9.]+) ').findall(params_line)[0])
nDown = eval(re.compile(r'nDown:([0-9.]+) ').findall(params_line)[0])
stepType = "lin"
minVal = eval(re.compile(r'minVal:([0-9.]+) ').findall(params_line)[0])
maxVal = eval(re.compile(r'maxVal:([0-9.]+)').findall(params_line)[0])
self.logger = ModLogger(self.logfile, 'recomp')
self.staircase_obj = StaircaseObject(
startVal,
nReversals,
stepSizes,
nTrials,
nUp,
nDown,
stepType,
minVal,
maxVal)
self.logger.write("Staircase for Stereo Threshold measurement")
self.logger.write("Staircase object is initiated with "
"startVal:%.2f "
"nReversals:%.2f "
"stepSizes:%s "
"nTrials:%.2f "
"nUp:%.2f "
"nDown:%.2f "
"minVal:%.2f "
"maxVal:%.2f "
%(startVal,nReversals,stepSizes,nTrials,nUp,nDown,minVal,maxVal))
self.logger.write("Staircase trials is set to %d" %nTrials)
def run(self):
self.logger.write("="*36)
self.logger.write("Staircase for Stereo Threshold measurement")
self.logger.write("="*36)
# disc demo
data = self.collect_log_data()
for i, trial_data in enumerate(data):
disp, interval, response = trial_data
try:
self.staircase_obj.next()
except:
break
self.logger.write("Trial %d :\n"
"\tdisparity %.2f,"
"\tcross at interval %d" %(i, disp, interval))
self.logger.write("\tobserver reports %s" %response)
# Update the pdf
self.staircase_obj.update(int(response))
# Get final estimate.
t = self.staircase_obj.mean(final=6)
self.logger.write('\nmean of final 6 reversals = %.3f\n' %t)
self.logger.write_filestamp()
def get_init_params(self):
params_line_re = re.compile(r'^Staircase object is initiated with (.+)$')
with open(self.logfile) as log:
for line in log.readlines():
params_str = params_line_re.findall(line)
if params_str:
return params_str[0].strip()
def collect_log_data(self):
data = []
disparity_re = re.compile(r'^\tdisparity (.+),')
cross_at_re = re.compile(r'cross at interval ([1|2])')
report_re = re.compile(r'\tobserver reports (.+)$')
disparity, cross_at, report = None, None, None
with open(self.logfile) as log:
for line in log.readlines():
disparity_str = disparity_re.findall(line)
cross_at_str = cross_at_re.findall(line)
report_str = report_re.findall(line)
if disparity_str:
disparity = float(disparity_str[0].strip())
if cross_at_str:
cross_at = int(cross_at_str[0].strip())
if report_str:
report = True if report_str[0].strip() == 'True' else False
data.append((disparity, cross_at, report))
return data