def update():
x, y, c = databuff[CNT]
scores, thetas, matches = zip(
*dollar.query(x, y, scale, N, templates_fh))
print
for m, r, s in zip(matches, thetas, scores):
print "'%s': %f (%f)" % (m, s, r * 180 / np.pi)
for ax in axes.values():
ax.cla()
axes['query'].plot(x, y, '-o')
axes['query'].set_title("Test sample from class '%s'" % c)
x, y = dollar.preprocess(x, y, scale, N)
axes['transform'].plot(x, y, '-o')
axes['transform'].set_title("Transformed query")
for i in range(3):
ds = templates_fh[matches[i]][0]
x_r, y_r = dollar.rotate(x, y, thetas[i])
axes['match_' + str(i)].plot(ds['x'], ds['y'], '-o', color='b')
axes['match_' + str(i)].plot(x_r, y_r, '-o', color='g')
axes['match_' + str(i)].set_title("'%s' (%.2f)" %
(matches[i], scores[i]))
fig.canvas.draw()
def update():
x,y,c = databuff[CNT]
scores, thetas, matches = zip(*dollar.query(x,y,scale,N,templates_fh))
print
for m,r,s in zip(matches,thetas,scores):
print "'%s': %f (%f)" % (m,s,r*180/np.pi)
for ax in axes.values(): ax.cla()
axes['query'].plot(x,y,'-o')
axes['query'].set_title("Test sample from class '%s'" % c)
x,y = dollar.preprocess(x,y,scale,N)
axes['transform'].plot(x,y,'-o')
axes['transform'].set_title("Transformed query")
for i in range(3):
ds = templates_fh[matches[i]][0]
x_r,y_r = dollar.rotate(x,y,thetas[i])
axes['match_'+str(i)].plot(ds['x'],ds['y'],'-o',color='b')
axes['match_'+str(i)].plot(x_r,y_r,'-o',color='g')
axes['match_'+str(i)].set_title("'%s' (%.2f)" % (matches[i],scores[i]))
fig.canvas.draw()
def gesture_match(query,template,score,theta,clsid):
x,y = query
n = len(x)
x,y = dollar.preprocess(x,y,scale,samplesize)
if score > 0.8:
query = dollar.rotate(x,y,theta)
artists.append((gui.lines['template'],template))
title = "%s (N=%d, score: %.2f)" % (clsid,n,score)
else:
query = x,y
title = "No match (scored too low)"
artists.append((gui.lines['query'],query))
gui.axes['match'].set_title(title)
global redraw
redraw = True
print "Class: %s (%.2f)" % (clsid,score)
print "Npoints:", n
def gesture_match(query, template, score, theta, clsid):
x, y = query
n = len(x)
x, y = dollar.preprocess(x, y, scale, samplesize)
if score > 0.8:
query = dollar.rotate(x, y, theta)
artists.append((gui.lines['template'], template))
title = "%s (N=%d, score: %.2f)" % (clsid, n, score)
else:
query = x, y
title = "No match (scored too low)"
artists.append((gui.lines['query'], query))
gui.axes['match'].set_title(title)
global redraw
redraw = True
print "Class: %s (%.2f)" % (clsid, score)
print "Npoints:", n