def filter_phase(log, pipeline, f_min, f_max, fd, pd, n_stop=0):
transitions = aer_pipeline_transitions1_all(log, pipeline)
stream = aer_filtered_cutoff(transitions, f_min, f_max)
P = np.zeros((fd, pd))
frequencies = np.linspace(f_min, f_max, fd)
phases = np.linspace(0, 1, pd)
count = 0
for ae in stream:
f = ae['frequency']
t = ae['timestamp']
delta = 1 / f
s = t / delta
phase = s - np.floor(s)
i = np.digitize([f], frequencies) - 1
j = np.digitize([phase], phases) - 1
P[i, j] += 1
count += 1
if n_stop != 0 and count >= n_stop:
break
stats = {}
stats['P'] = P
return stats
def filter_phase(log, pipeline, f_min, f_max, fd, pd, n_stop=0):
transitions = aer_pipeline_transitions1_all(log, pipeline)
stream = aer_filtered_cutoff(transitions, f_min, f_max)
P = np.zeros((fd, pd))
frequencies = np.linspace(f_min, f_max, fd)
phases = np.linspace(0, 1, pd)
count = 0
for ae in stream:
f = ae['frequency']
t = ae['timestamp']
delta = 1 / f
s = t / delta
phase = s - np.floor(s)
i = np.digitize([f], frequencies) - 1
j = np.digitize([phase], phases) - 1
P[i, j] += 1
count += 1
if n_stop != 0 and count >= n_stop:
break
stats = {}
stats['P'] = P
return stats
def __init__(self,
log,
pipeline,
sigma,
outdir,
tracks_filename,
interval=None,
min_led_distance=0,
weight_others=0,
detect_smooth_sigma=1.0,
detect_neighbors=10,
write_png=False):
# get configuration
blink_detect_config = get_blink_config(log)
# create trackers
frequencies = blink_detect_config.get_frequencies()
self.trackers = []
for f in frequencies:
others = list(frequencies)
others.remove(f)
tracker = TrackerFixedFreq(f,
others=others,
others_weight=weight_others,
sigma=sigma,
interval=interval)
self.trackers.append(tracker)
# start track log
# tracks_filename = os.path.splitext(log)[0] + '.%s.tracks' % suffix
self.tracklog = AERTrackLogWriter(tracks_filename)
params = dict(frequencies=frequencies,
sigma=sigma,
weight_others=weight_others,
interval=interval)
self.tracklog.write_comment('params: %s' % params)
# open files
if False:
raw_sequence = aer_load_log_generic(log)
self.transitions = aer_pipeline_transitions1(
raw_sequence, pipeline)
else:
self.transitions = aer_pipeline_transitions1_all(log, pipeline)
# save params needed later
self.detect_smooth_sigma = detect_smooth_sigma
self.detect_neighbors = detect_neighbors
self.min_led_distance = int(min_led_distance)
self.write_png = write_png
self.outdir = outdir
def aer_stats_freq_meat(log, pipeline):
events = aer_pipeline_transitions1_all(log, pipeline)
r = Report('index')
with r.subsection('all') as sub:
report_band(sub, events, min_f=20.0, max_f=3000.0)
with r.subsection('high') as sub:
report_band(sub, events, min_f=500.0, max_f=3000.0)
return r
def aer_stats_freq_meat(log, pipeline):
events = aer_pipeline_transitions1_all(log, pipeline)
r = Report('index')
with r.subsection('all') as sub:
report_band(sub, events, min_f=20.0, max_f=3000.0)
with r.subsection('high') as sub:
report_band(sub, events, min_f=500.0, max_f=3000.0)
return r
def __init__(self, log, pipeline, sigma, outdir, tracks_filename,
interval=None,
min_led_distance=0, weight_others=0,
detect_smooth_sigma=1.0,
detect_neighbors=10, write_png=False):
# get configuration
blink_detect_config = get_blink_config(log)
# create trackers
frequencies = blink_detect_config.get_frequencies()
self.trackers = []
for f in frequencies:
others = list(frequencies)
others.remove(f)
tracker = TrackerFixedFreq(f, others=others,
others_weight=weight_others,
sigma=sigma, interval=interval)
self.trackers.append(tracker)
# start track log
# tracks_filename = os.path.splitext(log)[0] + '.%s.tracks' % suffix
self.tracklog = AERTrackLogWriter(tracks_filename)
params = dict(frequencies=frequencies,
sigma=sigma, weight_others=weight_others,
interval=interval)
self.tracklog.write_comment('params: %s' % params)
# open files
if False:
raw_sequence = aer_load_log_generic(log)
self.transitions = aer_pipeline_transitions1(raw_sequence, pipeline)
else:
self.transitions = aer_pipeline_transitions1_all(log, pipeline)
# save params needed later
self.detect_smooth_sigma = detect_smooth_sigma
self.detect_neighbors = detect_neighbors
self.min_led_distance = int(min_led_distance)
self.write_png = write_png
self.outdir = outdir
