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 draw():
stroke_cap(1)
line(10, 10, 50, 10)
point(70, 10)
stroke_cap(2)
line(10, 30, 50, 30)
point(70, 30)
stroke_cap(4)
line(10, 50, 50, 50)
point(70, 50)
#!/usr/bin/evn python # coding=utf-8 """ Pattern. """ import pyprocessing as p p.size(255, 255) for x in range(256): for y in range(256): colour = x ^ y p.stroke(colour) p.point(x, y) p.run() """ ^ is bitwise exclusive or (xor) 0 ^ 0 = 1 ^ 1 = 0 1 ^ 0 = 0 ^ 1 = 1 Example: 100101 ^ 101001 = 001100 """
def render(self): p.stroke(0) p.point(self.x, self.y)
