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Display.py
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from matplotlib import pyplot as plt
from matplotlib.ticker import MultipleLocator
import os
import pickle
import numpy as np
import colorsys
from datetime import datetime
ViewMode = 0
MagnitudeThresh = 0.2
CullByOverallNote = True
BaseDir = os.path.dirname(os.path.realpath(__file__))
PlayBackDir = os.listdir(os.path.join(BaseDir, "PlayBack"))
InstDir = os.listdir(os.path.join(BaseDir, "InstrumentData"))
InstrumentDescriptors = []
ExceptionDescriptors = []
YAxis = [ 'A0', 'Bb0', 'B0',
'C1', 'Db1', 'D1', 'Eb1', 'E1', 'F1', 'Gb1', 'G1', 'Ab1', 'A1', 'Bb1', 'B1',
'C2', 'Db2', 'D2', 'Eb2', 'E2', 'F2', 'Gb2', 'G2', 'Ab2', 'A2', 'Bb2', 'B2',
'C3', 'Db3', 'D3', 'Eb3', 'E3', 'F3', 'Gb3', 'G3', 'Ab3', 'A3', 'Bb3', 'B3',
'C4', 'Db4', 'D4', 'Eb4', 'E4', 'F4', 'Gb4', 'G4', 'Ab4', 'A4', 'Bb4', 'B4',
'C5', 'Db5', 'D5', 'Eb5', 'E5', 'F5', 'Gb5', 'G5', 'Ab5', 'A5', 'Bb5', 'B5',
'C6', 'Db6', 'D6', 'Eb6', 'E6', 'F6', 'Gb6', 'G6', 'Ab6', 'A6', 'Bb6', 'B6',
'C7', 'Db7', 'D7', 'Eb7', 'E7', 'F7', 'Gb7', 'G7', 'Ab7', 'A7', 'Bb7', 'B7',
'C8', 'Db8', 'D8', 'Eb8', 'E8']
frequencies = np.power(2, np.arange(len(YAxis))/12)*27.5
for file in PlayBackDir:
if os.path.basename(file).startswith('.'):
continue
if(not file.endswith(".pkl")):
continue
filename = os.fsdecode(file)
with open(os.path.join(BaseDir, "PlayBack", filename), 'rb') as file:
TemporalResolution, instruments, magnitudes, notes = pickle.loads(file.read())
N1 = 0
N2 = 0
for instrument in instruments:
if not '.ff.' in instrument:
continue
prefix, affix = instrument.split('.ff.')
if 'guitar' in prefix.lower():
N1 += 1
ExceptionDescriptors.append(f"{prefix}.{affix.split('.')[0]}.{affix.split('.')[1]}")
YAxis.append(prefix)
continue
if affix[:4].lower() == 'mono' or affix[:5].lower() == 'stereo':
N1 += 1
ExceptionDescriptors.append(prefix)
YAxis.append(prefix)
continue
if affix[:3].lower() == 'sul' and not f"{prefix}.{affix[:4]}" in InstrumentDescriptors:
N2 += 1
InstrumentDescriptors.append(f"{prefix}.{affix[:4]}")
continue
if not prefix in InstrumentDescriptors:
N2 += 1
InstrumentDescriptors.append(prefix)
continue
N = N1+N2
HSV_tuples = [(x*1.0/N, 0.5, 0.5) for x in range(N)]
RGB_tuples = list(map(lambda x: colorsys.hsv_to_rgb(*x), HSV_tuples))
ExceptionDescriptors = dict(zip(ExceptionDescriptors, RGB_tuples[:N1]))
InstrumentDescriptors = dict(zip(InstrumentDescriptors, RGB_tuples[N1:]))
LegendDict = dict()
plt.figure(figsize=(10,7))
plt.yticks(np.arange(len(YAxis)), YAxis, size = 8)
plt.xticks(np.arange(np.ceil(len(magnitudes) * TemporalResolution))/TemporalResolution, np.arange(np.ceil(len(magnitudes) * TemporalResolution)))
plt.gca().xaxis.set_major_locator(MultipleLocator(1/TemporalResolution))
plt.gca().xaxis.set_minor_locator(MultipleLocator(1))
plt.grid(color='#bbbbbb')
plt.grid(True, 'minor', color='#eeeeee')
plt.ylim(0, len(YAxis)+1)
if CullByOverallNote:
for ind, TimeNotes in enumerate(notes):
notes[ind] = np.array(YAxis)[[(np.abs(note - frequencies)).argmin() for note in TimeNotes]]
for ind, (instrument, magnitude) in enumerate(zip(instruments, magnitudes)):
coefficients = None
for file in InstDir:
filename = os.fsdecode(file)
if instrument in filename:
name = os.path.join(BaseDir, "InstrumentData", filename)
with open(name, 'rb') as file:
_, coefficients, _, _, _ = pickle.loads(file.read())
break
magnitudes[ind] = magnitude * np.average(coefficients)
x = []
y = []
if CullByOverallNote:
for tInd, TimeNotes in enumerate(notes):
TimeY = [np.nonzero(np.array(YAxis) == note)[0][0] for note in TimeNotes]
y.extend(TimeY)
x.extend(np.repeat(tInd, len(TimeY)))
LegendDict['possibilities marker'] = plt.scatter(x, y, color=[0.8, 0.8, 0.8, 1], s=50, marker='+', label='possibilities marker')
if CullByOverallNote:
for InstInd, (instrument, InstNotes) in enumerate(zip(instruments, magnitudes.T)):
prefix, affix = instrument.split('.ff.')
if prefix in ExceptionDescriptors:
continue
for tInd, TimeNotes in enumerate(notes):
if not any([note in instrument for note in TimeNotes]):
magnitudes[tInd][InstInd] = 0
lim = np.max(magnitudes, axis = 1)*MagnitudeThresh
for instrument, magnitude in zip(instruments, magnitudes.T):
if np.sum(magnitude) == 0:
continue
if not '.ff.' in instrument:
continue
prefix, affix = instrument.split('.ff.')
if 'pizz' in prefix.lower() or 'arco' in prefix.lower():
affix = affix.split('.',1)[1]
if prefix in ExceptionDescriptors:
y = np.nonzero(np.array(YAxis) == prefix)[0][0]
C = np.ones((len(magnitude), 4))
C[:, [0,1,2]] *= np.array(ExceptionDescriptors[f"{prefix}.{affix.split('.')[0]}.{affix.split('.')[1]}"]) if 'guitar' in prefix.lower() else np.array(ExceptionDescriptors[prefix])
C[:, 3] *= np.clip(magnitude/lim, 0, 1)
LegendDict[prefix] = plt.scatter(np.arange(len(magnitude))[magnitude != 0], np.repeat(y, len(magnitude))[magnitude != 0], c=C[magnitude != 0], s=100, marker='_', label=prefix)
continue
if f"{prefix}.{affix[:4]}" in InstrumentDescriptors:
y = np.nonzero(np.array(YAxis) == affix.split('.')[1])[0][0]
C = np.ones((len(magnitude), 4))
C[:, [0,1,2]] *= np.array(InstrumentDescriptors[f"{prefix}.{affix[:4]}"])
C[:, 3] *= np.clip(magnitude/lim, 0, 1)
LegendDict[f"{prefix}.{affix[:4]}"] = plt.scatter(np.arange(len(magnitude))[magnitude != 0], np.repeat(y, len(magnitude))[magnitude != 0], c=C[magnitude != 0], s=100, marker='_', label=f"{prefix}.{affix[:4]}")
continue
if prefix in InstrumentDescriptors:
y = np.nonzero(np.array(YAxis) == affix.split('.')[0])[0][0]
C = np.ones((len(magnitude), 4))
C[:, [0,1,2]] *= np.array(InstrumentDescriptors[prefix])
C[:, 3] *= np.clip(magnitude/lim, 0, 1)
LegendDict[prefix] = plt.scatter(np.arange(len(magnitude))[magnitude != 0], np.repeat(y, len(magnitude))[magnitude != 0], c=C[magnitude != 0], s=100, marker='_', label=prefix)
continue
# plt.xlim(0, 50)
# plt.show()
plt.gca().set_aspect('auto')
plt.gca().set_axisbelow(True)
match ViewMode:
case 0:
leg = plt.legend(handles=LegendDict.values(), loc='upper right')
for lh in leg.legendHandles:
lh.set_alpha(1)
plt.ion()
plt.waitforbuttonpress()
t0 = datetime.now().timestamp()
while True:
x = datetime.now().timestamp()-t0
if x/TemporalResolution > len(magnitudes):
break
plt.xlim((x-2.5)/TemporalResolution, (x+2.5)/TemporalResolution)
line = plt.plot([x/TemporalResolution, x/TemporalResolution], [0, len(YAxis)], c='red')
plt.pause(1/30)
line.pop(0).remove()
case 1:
x = 0
while True:
plt.xlim((x)/TemporalResolution, (x+1)/TemporalResolution)
plt.waitforbuttonpress()
if x/TemporalResolution > len(magnitudes):
break
x += 0.1