def draw():
p5.colorMode(p5.RGB)
p5.background(0)
if len(projection):
p5.pushMatrix()
p5.colorMode(p5.HSB)
p5.translate(width/4, height/4)
p5.scale(width/2, height/2)
for point, label in zip(projection, labels):
p5.stroke(p5.color(label * 26., 255, 255))
p5.point(point[0], point[1])
p5.popMatrix()
#send osc to MaxPatch
probability_lda = model.predict_proba([getAmplitude(recent)])
send_osc_message("/lda",probability_lda)
probability_svc = clf.predict_proba([getAmplitude(recent)])
send_osc_message("/svm",probability_svc)
cur = model.transform([getAmplitude(recent)])
cur = cur[0]
cur = (cur - p_min) / (p_max - p_min)
global predicted
if predicted == None:
predicted = cur
else:
predicted = predicted * .9 + cur * .1
p5.stroke(p5.color(0, 0, 255))
p5.ellipse(width/4 + predicted[0] * width/2, height/4 + predicted[1] * height/2, 10, 10)
elif len(recent):
# draw time-amplitude
p5.pushMatrix()
p5.translate(0, height/2)
p5.scale(width / N, height/2)
p5.stroke(255)
p5.noFill()
p5.beginShape()
for x, y in enumerate(recent):
p5.vertex(x, y)
p5.endShape()
p5.popMatrix()
# draw frequency-amplitude
amp = getAmplitude(recent)
p5.pushMatrix()
p5.translate(0, height)
p5.scale(width, -height)
p5.stroke(255)
p5.noFill()
p5.beginShape()
for x, y in enumerate(amp):
p5.vertex(math.log(1+x, len(amp)), pow(y, .5))
p5.endShape()
p5.popMatrix()
def rot45(f): p.rotate(-math.pi / 4) p.scale(1 / math.sqrt(2))
def flip(f): p.translate(240, 0) p.scale(-1, 1)
def beside(f, g): p.scale(0.5, 1) f() p.translate(240, 0)
def above(f, g): p.scale(1, 0.5) f() p.translate(0, 240)
def beside(*args): scale = 1.0 / len(args) p.scale(scale, 1) for f in args[:-1]: f() p.translate(240, 0)
def above(*args): scale = 1.0 / len(args) p.scale(1, scale) for f in args[:-1]: f() p.translate(0, 240)
#!/usr/bin/evn python
# coding=utf-8
"""
Composition. Square Limit.
"""
import math
import pyprocessing as p
p.size(800, 800)
p.background(255)
p.scale(3.3)
img = p.loadImage("fish.png")
def fish():
p.image(img, -80, -80)
def blank():
pass
def transform(t, *args):
def wrapper(*args):
def wrapped_f():
p.pushMatrix()
t(*args) # perform transformation t
args[-1]() # call last argument as function
p.popMatrix()
return wrapped_f
return wrapper