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# Copyright (c) 2009 John Glover, National University of Ireland, Maynooth
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
import simpl
import matplotlib.pyplot as plt
import colours
def plot_frame_peaks(peaks):
"Plot peaks in one frame"
x_values = []
y_values = []
for peak in peaks:
x_values.append(int(peak.frequency))
y_values.append(peak.amplitude)
plt.plot(x_values, y_values, 'ro')
def _plot_frame_peaks(peaks, frame_number, max_amp=0):
"Plot one frame, which is a list of Peak objects"
for peak in peaks:
plt.plot(frame_number, int(peak.frequency), linestyle="None",
marker="o", markersize=2, markeredgewidth=None,
markerfacecolor=colours.pbj(peak.amplitude/max_amp))
def plot_peaks(frames):
"Plot peaks found by a peak detection algorithm"
# Get the maximum peak amplitude, used to select an appropriate
# colour for each peak.
max_amp = None
for frame in frames:
if frame.peaks:
max_amp = max(max_amp, max([p.amplitude for p in frame.peaks]))
# If no max amp then no peaks so return
if not max_amp:
print "Warning: no peaks to plot"
return
for frame_number, frame in enumerate(frames):
_plot_frame_peaks(frame.peaks, frame_number, max_amp)
def plot_partials(frames, show_peaks=False):
"Plot partials created by a partial tracking algorithm"
# Get the maximum peak amplitude, used to select an appropriate
# colour for each peak.
max_amp = None
for frame in frames:
if frame.peaks:
max_amp = max(max_amp, max([p.amplitude for p in frame.peaks]))
# If no max amp then no peaks so return
if not max_amp:
print "Warning: no peaks to plot"
return
# Create Partial objects from frames
num_frames = len(frames)
partials = []
live_partials = [None for i in range(len(frames[0].partials))]
for n, f in enumerate(frames):
for i, p in enumerate(f.partials):
if p.amplitude > 0:
# active partial
if live_partials[i]:
live_partials[i].add_peak(p)
else:
partial = simpl.Partial()
partial.starting_frame = n
partial.add_peak(p)
live_partials[i] = partial
else:
# currently dead
if live_partials[i]:
partials.append(live_partials[i])
live_partials[i] = None
for p in live_partials:
if p:
partials.append(p)
peaks = [[] for f in range(num_frames)]
for partial in partials:
x_values = []
y_values = []
avg_amp = 0.0
num_peaks = 0
for peak_number, peak in enumerate(partial.peaks):
x_values.append(partial.starting_frame + peak_number)
y_values.append(int(peak.frequency))
avg_amp += peak.amplitude
num_peaks += 1
peaks[partial.starting_frame + peak_number].append(peak)
avg_amp /= num_peaks
plt.plot(x_values, y_values, color=colours.pbj(avg_amp/max_amp))
if show_peaks:
plot_peaks(frames)
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