def draw(canvas, audio_file, branches):
"""
Draws all necessary items (beats and branches) for the specified LocalAudioFile.
"""
bounds = sc.normalizeColor(audio_file)
beats = audio_file.analysis.beats
width = (1440 - (xpad * 2)) / float(len(beats))
draw_branches(canvas, audio_file, branches, bounds, width)
draw_beats(canvas, beats, bounds, width)
def drawBeats(C, beats, bounds, width):
for i in range(len(beats)):
mycolor = sc.getSegmentColor(bounds, beats[i].segments[0])
C.create_polygon(xpad + (i * width),
ypad,
xpad + (i * width) + width,
ypad,
xpad + (i * width) + width,
ypad + height,
xpad + (i * width),
ypad + height,
fill=mycolor)
def drawBranches(C, beats, branches, threshold, bounds, width):
keys = branches.keys()
lastBranch = max(keys)
for key in keys:
for branch in branches[key]:
if branch[1] <= threshold or key == lastBranch:
mycolor = sc.getSegmentColor(bounds, beats[key].segments[0])
x0 = xpad + key * width + width / 2
x1 = xpad + branch[0] * width + width / 2
xmid = (x0 + x1) / 2
coord = x0, ypad, xmid, ypad - 200, x1, ypad
C.create_line(coord, width=width / 2, smooth=True, fill=mycolor)
def draw_beats(canvas, beats, bounds, width):
"""
Draws all beats for a given song.
"""
for i in range(len(beats)):
my_color = sc.getSegmentColor(bounds, beats[i].segments[0])
canvas.create_polygon(xpad + (i * width),
ypad,
xpad + (i * width) + width,
ypad,
xpad + (i * width) + width,
ypad + height,
xpad + (i * width),
ypad + height,
fill=my_color)
def drawBranches(C, beats, branches, threshold, bounds, width):
keys = branches.keys()
lastBranch = max(keys)
for key in keys:
for branch in branches[key]:
if branch[1] <= threshold or key == lastBranch:
mycolor = sc.getSegmentColor(bounds, beats[key].segments[0])
x0 = xpad + key * width + width / 2
x1 = xpad + branch[0] * width + width / 2
xmid = (x0 + x1) / 2
coord = x0, ypad, xmid, ypad - 200, x1, ypad
C.create_line(coord,
width=width / 2,
smooth=True,
fill=mycolor)
def draw_branches(canvas, audio_file, branches, bounds, width):
"""
Draws all branches both within and out of a song.
"""
beats = audio_file.analysis.beats
md5 = audio_file.analysis.pyechonest_track.md5
keys = branches[md5].keys()
num_branches_in = 0
num_branches_out = 0
for key in keys:
for branch in branches[md5][key]:
if branch[0] <= THRESHOLD_OUT and branch[1] != md5:
canvas.create_polygon(xpad + (key * width),
ypad + height,
xpad + (key * width) + width,
ypad + height,
xpad + (key * width) + width,
ypad + height + 50,
xpad + (key * width),
ypad + height + 50,
fill="green")
num_branches_out += 1
elif (branch[0] <= THRESHOLD
and branch[1] == md5) or (branch[2] == max(keys)
and branch[1] == md5):
num_branches_in += 1
mycolor = sc.getSegmentColor(bounds, beats[key].segments[0])
x0 = xpad + key * width + width / 2
x1 = xpad + branch[2] * width + width / 2
xmid = (x0 + x1) / 2
coord = x0, ypad, xmid, ypad - 200, x1, ypad
canvas.create_line(coord,
width=width / 2,
smooth=True,
fill=mycolor)
print md5, "in:", num_branches_in, "out:", num_branches_out
__author__ = 'lukestack'
import echonest.remix.audio as audio
import matplotlib.pyplot as plt
import SegColor
import aqplayer
import music_info as mi
SONG_DIR = "MP3Songs/"
SONG = "Song.mp3"
OUTPUT_NAME = "pic.png"
audio_file = audio.LocalAudioFile(SONG_DIR + SONG)
bounds = SegColor.normalizeColor(audio_file)
segments = audio_file.analysis.segments
tatums = audio_file.analysis.tatums
beats = audio_file.analysis.beats
bars = audio_file.analysis.bars
sections = audio_file.analysis.sections
fig = plt.figure()
ax = fig.add_subplot(111)
for i in range(0, len(segments)):
start = segments[i].start
loudest_point = start + segments[i].time_loudness_max
end = start + segments[i].duration
color = SegColor.getSegmentColor(bounds, segments[i])
if i + 1 < len(segments):
next_seg_loudness = segments[i + 1].loudness_begin
def drawBeats(C, beats, bounds, width):
for i in range(len(beats)):
mycolor = sc.getSegmentColor(bounds, beats[i].segments[0])
C.create_polygon(xpad + (i * width), ypad, xpad + (i * width) + width, ypad,
xpad + (i * width) + width, ypad + height, xpad + (i * width), ypad + height, fill=mycolor)
def draw(C, audio_file, branches, threshold):
bounds = sc.normalizeColor(audio_file)
beats = audio_file.analysis.beats
width = (1440 - (xpad * 2)) / float(len(beats))
drawBranches(C, beats, branches, threshold, bounds, width)
drawBeats(C, beats, bounds, width)
def draw(C, audio_file, branches, threshold):
bounds = sc.normalizeColor(audio_file)
beats = audio_file.analysis.beats
width = (1440 - (xpad * 2)) / float(len(beats))
drawBranches(C, beats, branches, threshold, bounds, width)
drawBeats(C, beats, bounds, width)
__author__ = 'lukestack'
import echonest.remix.audio as audio
import matplotlib.pyplot as plt
import SegColor
import aqplayer
import music_info as mi
SONG_DIR = "MP3Songs/"
SONG = "Song.mp3"
OUTPUT_NAME = "pic.png"
audio_file = audio.LocalAudioFile(SONG_DIR + SONG)
bounds = SegColor.normalizeColor(audio_file)
segments = audio_file.analysis.segments
tatums = audio_file.analysis.tatums
beats = audio_file.analysis.beats
bars = audio_file.analysis.bars
sections = audio_file.analysis.sections
fig = plt.figure()
ax = fig.add_subplot(111)
for i in range(0, len(segments)):
start = segments[i].start
loudest_point = start + segments[i].time_loudness_max
end = start + segments[i].duration
color = SegColor.getSegmentColor(bounds, segments[i])
if i + 1 < len(segments):
next_seg_loudness = segments[i + 1].loudness_begin