# How many data points to train on? Will be extracted periodically
# from data set.
TRAIN_EVERY = 10
# Fields from "charactercurves.py" extracted from raw data to use for
# training. Currently: avg, rms, freq, periodicity
inputfields = ['rms', 'periodicity']
########## Load and calculate data
minibees, fields = read_minibees()
mbIds = sort(minibees.keys())
offsets = [find_offsets(minibees[mb]) for mb in mbIds]
ds = [split_data_on_offsets(minibees[mb], o)
for mb, o in zip(mbIds, offsets)]
curves = [calc_curves((d[VIDEO][:,4]-d[VIDEO][0,4])/30.0,
mag(d[VIDEO][:,5:8]), 0.1)
for d in ds]
tags = read_tags()
frames = curves[1]['time']*30
frametags = [tags.frame_tags(int(ds[1][1][0,3]), f) for f in frames]
def normalized(x):
return (x - min(x)) / (max(x)-min(x))
def avg_curves(curves):
'freq': ffreqs,
'periodicity': periodicity
}
def plot_curves(t, x):
curves = calc_curves(t, x, 0.1)
clf()
plot(curves['time'], curves['y'], '#DDDDDD')
plot(curves['time'], curves['avg'], label='running mean')
plot(curves['time'], curves['rms'], label='running rms')
plot(curves['time'], curves['freq'], label='avg freq')
plot(curves['time'], curves['periodicity'] * 200, label='periodicity')
xlabel('time (min)')
legend()
if __name__ == "__main__":
from read_minibees import read_minibees, mag
minibees, fields = read_minibees()
for n in {10: minibees[10]}:
data = minibees[n]
offsets = find_offsets(data)
d = split_data_on_offsets(data, offsets)
# [plot_rms(a[9600:10200,4], a[9600:10200,5])
# for a in d if a.shape[0]>10200]
plot_curves((d[1][:, 4] - d[1][0, 4]) / 30.0, d[1][:, 5])
show()
'y': fx,
'avg': avg,
'rms': rms,
'freq': ffreqs,
'periodicity': periodicity}
def plot_curves(t, x):
curves = calc_curves(t, x, 0.1)
clf()
plot(curves['time'], curves['y'], '#DDDDDD')
plot(curves['time'], curves['avg'], label='running mean')
plot(curves['time'], curves['rms'], label='running rms')
plot(curves['time'], curves['freq'], label='avg freq')
plot(curves['time'], curves['periodicity']*200, label='periodicity')
xlabel('time (min)')
legend()
if __name__=="__main__":
from read_minibees import read_minibees, mag
minibees, fields = read_minibees()
for n in {10:minibees[10]}:
data = minibees[n]
offsets = find_offsets(data)
d = split_data_on_offsets(data, offsets)
# [plot_rms(a[9600:10200,4], a[9600:10200,5])
# for a in d if a.shape[0]>10200]
plot_curves((d[1][:,4]-d[1][0,4])/30.0, d[1][:,5])
show()
