def setup(self,
channels=None,
samplerate=None,
blocksize=None,
totalframes=None):
super(Grapher, self).setup(channels, samplerate, blocksize,
totalframes)
self.sample_rate = samplerate
self.higher_freq = self.sample_rate / 2
self.block_size = blocksize
self.total_frames = totalframes
self.image = Image.new("RGBA", (self.image_width, self.image_height),
self.bg_color)
self.samples_per_pixel = self.total_frames / float(self.image_width)
self.buffer_size = int(round(self.samples_per_pixel, 0))
self.pixels_adapter = FixedSizeInputAdapter(self.buffer_size,
1,
pad=False)
self.pixels_adapter_totalframes = self.pixels_adapter.blocksize(
self.total_frames)
self.spectrum = Spectrum(self.fft_size, self.sample_rate,
self.block_size, self.total_frames,
self.lower_freq, self.higher_freq,
numpy.hanning)
self.pixel = self.image.load()
self.draw = ImageDraw.Draw(self.image)
def testPadding(self):
"Test automatic padding support"
adapter = FixedSizeInputAdapter(4, 2, pad=True)
self.assertEqual(len(self.data) + 2, adapter.blocksize(len(self.data)))
self.assertIOEquals(adapter, self.data[0:21], False, [
self.data[0:4], self.data[4:8], self.data[8:12], self.data[12:16],
self.data[16:20]
], False)
self.assertIOEquals(adapter, self.data[21:22], True,
[[[20, 42], [21, 43], [0, 0], [0, 0]]], True)
def testTwoChannels(self):
"Test simple stream with two channels"
adapter = FixedSizeInputAdapter(4, 2)
self.assertEquals(len(self.data), adapter.blocksize(len(self.data)))
self.assertIOEquals(adapter, self.data[0:1], False, [])
self.assertIOEquals(adapter, self.data[1:5], False, [self.data[0:4]], False)
self.assertIOEquals(adapter, self.data[5:12], False, [self.data[4:8], self.data[8:12]], False)
self.assertIOEquals(adapter, self.data[12:13], False, [])
self.assertIOEquals(adapter, self.data[13:14], False, [])
self.assertIOEquals(adapter, self.data[14:18], False, [self.data[12:16]], False)
self.assertIOEquals(adapter, self.data[18:20], False, [self.data[16:20]], False)
self.assertIOEquals(adapter, self.data[20:21], False, [])
self.assertIOEquals(adapter, self.data[21:22], True, [self.data[20:22]], True)
def testSizeMultiple(self):
"Test a stream which contain a multiple number of buffers"
adapter = FixedSizeInputAdapter(4, 2)
self.assertIOEquals(adapter, self.data[0:20], True,
[self.data[0:4], self.data[4:8], self.data[8:12], self.data[12:16], self.data[16:20]],
True)
def testPadding(self):
"Test automatic padding support"
adapter = FixedSizeInputAdapter(4, 2, pad=True)
self.assertEquals(len(self.data) + 2, adapter.blocksize(len(self.data)))
self.assertIOEquals(adapter, self.data[0:21], False,
[self.data[0:4], self.data[4:8], self.data[8:12], self.data[12:16], self.data[16:20]],
False)
self.assertIOEquals(adapter, self.data[21:22], True, [[
[20, 42],
[21, 43],
[0, 0],
[0, 0]
]], True)
def setup(self, channels=None, samplerate=None, blocksize=None, totalframes=None):
super(Grapher, self).setup(
channels, samplerate, blocksize, totalframes)
self.sample_rate = samplerate
self.higher_freq = self.sample_rate / 2
self.block_size = blocksize
self.total_frames = totalframes
self.image = Image.new(
"RGBA", (self.image_width, self.image_height), self.bg_color)
self.samples_per_pixel = self.total_frames / float(self.image_width)
self.buffer_size = int(round(self.samples_per_pixel, 0))
self.pixels_adapter = FixedSizeInputAdapter(
self.buffer_size, 1, pad=False)
self.pixels_adapter_totalframes = self.pixels_adapter.blocksize(
self.total_frames)
self.spectrum = Spectrum(
self.fft_size, self.sample_rate, self.block_size, self.total_frames,
self.lower_freq, self.higher_freq, numpy.hanning)
self.pixel = self.image.load()
self.draw = ImageDraw.Draw(self.image)
class Grapher(Processor):
'''
Generic abstract class for the graphers
'''
type = 'grapher'
fft_size = 0x1000
frame_cursor = 0
pixel_cursor = 0
lower_freq = 20
implements(IGrapher)
abstract()
def __init__(self,
width=1024,
height=256,
bg_color=None,
color_scheme='default'):
super(Grapher, self).__init__()
self.bg_color = bg_color
self.color_scheme = color_scheme
self.graph = None
self.image_width = width
self.image_height = height
self.bg_color = bg_color
self.color_scheme = color_scheme
self.previous_x, self.previous_y = None, None
@staticmethod
def id():
return "generic_grapher"
@staticmethod
def name():
return "Generic grapher"
def set_colors(self, bg_color, color_scheme):
self.bg_color = bg_color
self.color_color_scheme = color_scheme
def setup(self,
channels=None,
samplerate=None,
blocksize=None,
totalframes=None):
super(Grapher, self).setup(channels, samplerate, blocksize,
totalframes)
self.sample_rate = samplerate
self.higher_freq = self.sample_rate / 2
self.block_size = blocksize
self.total_frames = totalframes
self.image = Image.new("RGBA", (self.image_width, self.image_height),
self.bg_color)
self.samples_per_pixel = self.total_frames / float(self.image_width)
self.buffer_size = int(round(self.samples_per_pixel, 0))
self.pixels_adapter = FixedSizeInputAdapter(self.buffer_size,
1,
pad=False)
self.pixels_adapter_totalframes = self.pixels_adapter.blocksize(
self.total_frames)
self.spectrum = Spectrum(self.fft_size, self.sample_rate,
self.block_size, self.total_frames,
self.lower_freq, self.higher_freq,
numpy.hanning)
self.pixel = self.image.load()
self.draw = ImageDraw.Draw(self.image)
@interfacedoc
def render(self, output=None):
if output:
try:
self.image.save(output)
except AttributeError:
print "Pixel %s x %d" % (self.image_width, self.image_height)
self.image.savefig(output, dpi=341)
return
return self.image
def watermark(self,
text,
font=None,
color=(255, 255, 255),
opacity=.6,
margin=(5, 5)):
self.image = im_watermark(self.image,
text,
color=color,
opacity=opacity,
margin=margin)
def draw_peaks(self, x, peaks, line_color):
"""Draw 2 peaks at x"""
y1 = self.image_height * 0.5 - peaks[0] * (self.image_height - 4) * 0.5
y2 = self.image_height * 0.5 - peaks[1] * (self.image_height - 4) * 0.5
if self.previous_y:
self.draw.line([self.previous_x, self.previous_y, x, y1, x, y2],
line_color)
else:
self.draw.line([x, y1, x, y2], line_color)
self.draw_anti_aliased_pixels(x, y1, y2, line_color)
self.previous_x, self.previous_y = x, y2
def draw_peaks_inverted(self, x, peaks, line_color):
"""Draw 2 inverted peaks at x"""
y1 = self.image_height * 0.5 - peaks[0] * (self.image_height - 4) * 0.5
y2 = self.image_height * 0.5 - peaks[1] * (self.image_height - 4) * 0.5
if self.previous_y and x < self.image_width - 1:
if y1 < y2:
self.draw.line((x, 0, x, y1), line_color)
self.draw.line((x, self.image_height, x, y2), line_color)
else:
self.draw.line((x, 0, x, y2), line_color)
self.draw.line((x, self.image_height, x, y1), line_color)
else:
self.draw.line((x, 0, x, self.image_height), line_color)
self.draw_anti_aliased_pixels(x, y1, y2, line_color)
self.previous_x, self.previous_y = x, y1
def draw_anti_aliased_pixels(self, x, y1, y2, color):
""" vertical anti-aliasing at y1 and y2 """
y_max = max(y1, y2)
y_max_int = int(y_max)
alpha = y_max - y_max_int
if alpha > 0.0 and alpha < 1.0 and y_max_int + 1 < self.image_height:
current_pix = self.pixel[int(x), y_max_int + 1]
r = int((1 - alpha) * current_pix[0] + alpha * color[0])
g = int((1 - alpha) * current_pix[1] + alpha * color[1])
b = int((1 - alpha) * current_pix[2] + alpha * color[2])
self.pixel[x, y_max_int + 1] = (r, g, b)
y_min = min(y1, y2)
y_min_int = int(y_min)
alpha = 1.0 - (y_min - y_min_int)
if alpha > 0.0 and alpha < 1.0 and y_min_int - 1 >= 0:
current_pix = self.pixel[x, y_min_int - 1]
r = int((1 - alpha) * current_pix[0] + alpha * color[0])
g = int((1 - alpha) * current_pix[1] + alpha * color[1])
b = int((1 - alpha) * current_pix[2] + alpha * color[2])
self.pixel[x, y_min_int - 1] = (r, g, b)
def draw_peaks_contour(self):
contour = self.contour.copy()
contour = smooth(contour, window_len=16)
contour = normalize(contour)
# Scaling
#ratio = numpy.mean(contour)/numpy.sqrt(2)
ratio = 1
contour = normalize(numpy.expm1(contour / ratio)) * (1 - 10**-6)
# Spline
#contour = cspline1d(contour)
#contour = cspline1d_eval(contour, self.x, dx=self.dx1, x0=self.x[0])
if self.symetry:
height = int(self.image_height / 2)
else:
height = self.image_height
# Multicurve rotating
for i in range(0, self.ndiv):
self.previous_x, self.previous_y = None, None
bright_color = int(255 * (1 - float(i) / (self.ndiv * 2)))
bright_color = 255 - bright_color + self.color_offset
#line_color = self.color_lookup[int(self.centroids[j]*255.0)]
line_color = (bright_color, bright_color, bright_color)
# Linear
#contour = contour*(1.0-float(i)/self.ndiv)
#contour = contour*(1-float(i)/self.ndiv)
# Cosinus
contour = contour * \
numpy.arccos(float(i) / self.ndiv) * 2 / numpy.pi
#contour = self.contour*(1-float(i)*numpy.arccos(float(i)/self.ndiv)*2/numpy.pi/self.ndiv)
#contour = contour + ((1-contour)*2/numpy.pi*numpy.arcsin(float(i)/self.ndiv))
curve = (height - 1) * contour
#curve = contour*(height-2)/2+height/2
for x in self.x:
x = int(x)
y = curve[x]
if not x == 0:
if not self.symetry:
self.draw.line(
[self.previous_x, self.previous_y, x, y],
line_color)
self.draw_anti_aliased_pixels(x, y, y, line_color)
else:
self.draw.line([
self.previous_x, self.previous_y + height, x,
y + height
], line_color)
self.draw_anti_aliased_pixels(x, y + height,
y + height, line_color)
self.draw.line([
self.previous_x, -self.previous_y + height, x,
-y + height
], line_color)
self.draw_anti_aliased_pixels(x, -y + height,
-y + height, line_color)
else:
if not self.symetry:
self.draw.point((x, y), line_color)
else:
self.draw.point((x, y + height), line_color)
self.previous_x, self.previous_y = x, y
class Grapher(Processor):
'''
Generic abstract class for the graphers
'''
type = 'grapher'
fft_size = 0x1000
frame_cursor = 0
pixel_cursor = 0
lower_freq = 20
implements(IGrapher)
abstract()
def __init__(self, width=1024, height=256, bg_color=None, color_scheme='default'):
super(Grapher, self).__init__()
self.bg_color = bg_color
self.color_scheme = color_scheme
self.graph = None
self.image_width = width
self.image_height = height
self.bg_color = bg_color
self.color_scheme = color_scheme
self.previous_x, self.previous_y = None, None
@staticmethod
def id():
return "generic_grapher"
@staticmethod
def name():
return "Generic grapher"
def set_colors(self, bg_color, color_scheme):
self.bg_color = bg_color
self.color_color_scheme = color_scheme
def setup(self, channels=None, samplerate=None, blocksize=None, totalframes=None):
super(Grapher, self).setup(
channels, samplerate, blocksize, totalframes)
self.sample_rate = samplerate
self.higher_freq = self.sample_rate / 2
self.block_size = blocksize
self.total_frames = totalframes
self.image = Image.new(
"RGBA", (self.image_width, self.image_height), self.bg_color)
self.samples_per_pixel = self.total_frames / float(self.image_width)
self.buffer_size = int(round(self.samples_per_pixel, 0))
self.pixels_adapter = FixedSizeInputAdapter(
self.buffer_size, 1, pad=False)
self.pixels_adapter_totalframes = self.pixels_adapter.blocksize(
self.total_frames)
self.spectrum = Spectrum(
self.fft_size, self.sample_rate, self.block_size, self.total_frames,
self.lower_freq, self.higher_freq, numpy.hanning)
self.pixel = self.image.load()
self.draw = ImageDraw.Draw(self.image)
@interfacedoc
def render(self, output=None):
if output:
try:
self.image.save(output)
except AttributeError:
print "Pixel %s x %d" % (self.image_width, self.image_height)
self.image.savefig(output, dpi=341)
return
return self.image
def watermark(self, text, font=None, color=(255, 255, 255), opacity=.6, margin=(5, 5)):
self.image = im_watermark(
self.image, text, color=color, opacity=opacity, margin=margin)
def draw_peaks(self, x, peaks, line_color):
"""Draw 2 peaks at x"""
y1 = self.image_height * 0.5 - peaks[0] * (self.image_height - 4) * 0.5
y2 = self.image_height * 0.5 - peaks[1] * (self.image_height - 4) * 0.5
if self.previous_y:
self.draw.line(
[self.previous_x, self.previous_y, x, y1, x, y2], line_color)
else:
self.draw.line([x, y1, x, y2], line_color)
self.draw_anti_aliased_pixels(x, y1, y2, line_color)
self.previous_x, self.previous_y = x, y2
def draw_peaks_inverted(self, x, peaks, line_color):
"""Draw 2 inverted peaks at x"""
y1 = self.image_height * 0.5 - peaks[0] * (self.image_height - 4) * 0.5
y2 = self.image_height * 0.5 - peaks[1] * (self.image_height - 4) * 0.5
if self.previous_y and x < self.image_width - 1:
if y1 < y2:
self.draw.line((x, 0, x, y1), line_color)
self.draw.line((x, self.image_height, x, y2), line_color)
else:
self.draw.line((x, 0, x, y2), line_color)
self.draw.line((x, self.image_height, x, y1), line_color)
else:
self.draw.line((x, 0, x, self.image_height), line_color)
self.draw_anti_aliased_pixels(x, y1, y2, line_color)
self.previous_x, self.previous_y = x, y1
def draw_anti_aliased_pixels(self, x, y1, y2, color):
""" vertical anti-aliasing at y1 and y2 """
y_max = max(y1, y2)
y_max_int = int(y_max)
alpha = y_max - y_max_int
if alpha > 0.0 and alpha < 1.0 and y_max_int + 1 < self.image_height:
current_pix = self.pixel[int(x), y_max_int + 1]
r = int((1 - alpha) * current_pix[0] + alpha * color[0])
g = int((1 - alpha) * current_pix[1] + alpha * color[1])
b = int((1 - alpha) * current_pix[2] + alpha * color[2])
self.pixel[x, y_max_int + 1] = (r, g, b)
y_min = min(y1, y2)
y_min_int = int(y_min)
alpha = 1.0 - (y_min - y_min_int)
if alpha > 0.0 and alpha < 1.0 and y_min_int - 1 >= 0:
current_pix = self.pixel[x, y_min_int - 1]
r = int((1 - alpha) * current_pix[0] + alpha * color[0])
g = int((1 - alpha) * current_pix[1] + alpha * color[1])
b = int((1 - alpha) * current_pix[2] + alpha * color[2])
self.pixel[x, y_min_int - 1] = (r, g, b)
def draw_peaks_contour(self):
contour = self.contour.copy()
contour = smooth(contour, window_len=16)
contour = normalize(contour)
# Scaling
#ratio = numpy.mean(contour)/numpy.sqrt(2)
ratio = 1
contour = normalize(numpy.expm1(contour / ratio)) * (1 - 10 ** -6)
# Spline
#contour = cspline1d(contour)
#contour = cspline1d_eval(contour, self.x, dx=self.dx1, x0=self.x[0])
if self.symetry:
height = int(self.image_height / 2)
else:
height = self.image_height
# Multicurve rotating
for i in range(0, self.ndiv):
self.previous_x, self.previous_y = None, None
bright_color = int(255 * (1 - float(i) / (self.ndiv * 2)))
bright_color = 255 - bright_color + self.color_offset
#line_color = self.color_lookup[int(self.centroids[j]*255.0)]
line_color = (bright_color, bright_color, bright_color)
# Linear
#contour = contour*(1.0-float(i)/self.ndiv)
#contour = contour*(1-float(i)/self.ndiv)
# Cosinus
contour = contour * \
numpy.arccos(float(i) / self.ndiv) * 2 / numpy.pi
#contour = self.contour*(1-float(i)*numpy.arccos(float(i)/self.ndiv)*2/numpy.pi/self.ndiv)
#contour = contour + ((1-contour)*2/numpy.pi*numpy.arcsin(float(i)/self.ndiv))
curve = (height - 1) * contour
#curve = contour*(height-2)/2+height/2
for x in self.x:
x = int(x)
y = curve[x]
if not x == 0:
if not self.symetry:
self.draw.line(
[self.previous_x, self.previous_y, x, y], line_color)
self.draw_anti_aliased_pixels(x, y, y, line_color)
else:
self.draw.line(
[self.previous_x, self.previous_y + height, x, y + height], line_color)
self.draw_anti_aliased_pixels(
x, y + height, y + height, line_color)
self.draw.line(
[self.previous_x, -self.previous_y + height, x, -y + height], line_color)
self.draw_anti_aliased_pixels(
x, -y + height, -y + height, line_color)
else:
if not self.symetry:
self.draw.point((x, y), line_color)
else:
self.draw.point((x, y + height), line_color)
self.previous_x, self.previous_y = x, y
