incandenza/audito
1
0
Fork 0
Code Issues Pull requests Releases Wiki Activity

wrk

Browse source
This commit is contained in:
Luca Conte 2023-11-17 08:56:21 +01:00
parent 379a7bc5b8
commit a0e18e2bad
1 changed files with 38 additions and 5 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

43
AudioToDeforumKeyframes.py
View file

@ -14,6 +14,7 @@ import numpy as np
import librosa import librosa
import math import math
from scipy.interpolate import interp1d from scipy.interpolate import interp1d
from scipy.interpolate import UnivariateSpline
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
def plotting_stuffs(): def plotting_stuffs():
@ -30,14 +31,46 @@ def plotting_stuffs():
x = np.linspace(1, 4000, 4000) x = np.linspace(1, 4000, 4000)
y = f(x) y = f(x)
plt.plot(x, y) #plt.plot(x, y)
plt.show() #plt.show()
plt.hist(rms[0], color = 'red', edgecolor = 'black', bins = 10) plt.hist(rms[0], color = 'red', edgecolor = 'black', bins = 10)
plt.show() plt.show()
plt.hist(cent[0], color = 'blue', edgecolor = 'black', bins = int(cent.max()/100))
# Generate some example data
data =cent[0]
# Create a histogram
hist, bin_edges = np.histogram(data, bins=100, density=True)
# Calculate bin centers
bin_centers = 0.5 * (bin_edges[:-1] + bin_edges[1:])
# Perform spline interpolation on the histogram data
spline = UnivariateSpline(bin_centers, hist, s=0)
# Create a finer x-axis for plotting the interpolated function
x_interp = np.linspace(min(bin_centers), max(bin_centers), 1000)
y_interp = spline(x_interp)
# Plot the histogram and the interpolated function
plt.hist(data, bins=100, density=True, alpha=0.6, color='g', label='Histogram')
plt.plot(x_interp, y_interp, label='Interpolated PDF', color='red')
plt.legend()
plt.xlabel('x')
plt.ylabel('Probability Density')
plt.title('Histogram and Interpolated PDF')
# Obtain min and max values of the probability density
min_density = np.min(hist)
max_density = np.max(hist)
print(f"Min Probability Density: {min_density}")
print(f"Max Probability Density: {max_density}")
plt.show() plt.show()
plt.show()
def f(t): def f(t):
return 1.0025+0.002*np.sin(1.25*3.14*t/30) return 1.0025+0.002*np.sin(1.25*3.14*t/30)
@ -49,12 +82,12 @@ strength_max = 0.6
# Assuming that into "generated" directoruy U've already create "project_name" subfolder # Assuming that into "generated" directoruy U've already create "project_name" subfolder
audio_input_file = '/home/lalo/data/studio_grafica/deforum/wilson_r1_mm_sample.wav' #audio_input_file = '/home/lalo/data/studio_grafica/deforum/wilson_r1_mm_sample.wav'
#audio_input_file = '/home/lalo/data/studio_suono/spx/231104_001_m01.wav' #audio_input_file = '/home/lalo/data/studio_suono/spx/231104_001_m01.wav'
#audio_input_file = '/home/lalo/data/studio_grafica/deforum/eucrasy_r1_sample.wav' #audio_input_file = '/home/lalo/data/studio_grafica/deforum/eucrasy_r1_sample.wav'
#audio_input_file = '/home/lalo/data/studio_grafica/deforum/eucrasy_r1.wav' #audio_input_file = '/home/lalo/data/studio_grafica/deforum/eucrasy_r1.wav'
#audio_input_file = '/home/lalo/data/studio_suono/231014_002_mastered_r2_clip.WAV' #audio_input_file = '/home/lalo/data/studio_suono/231014_002_mastered_r2_clip.WAV'
#audio_input_file = 'C:/Users/LucaConte/Music/lc_music/wilson_r1_mm.wav' audio_input_file = 'C:/Users/LucaConte/Music/lc_music/wilson_r1_mm.wav'
# Store the sampling rate as `sr` # Store the sampling rate as `sr`