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plotting

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This commit is contained in:
Luca Conte 2023-11-08 13:03:47 +01:00
parent 7804d7636d
commit f63c2957c8
1 changed files with 37 additions and 27 deletions
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64
AudioToDeforumKeyframes.py
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@ -16,6 +16,36 @@ import math
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt
def plotting_stuffs():
plt.figure(figsize=(15, 17))
t = librosa.frames_to_time(range(rms.size), hop_length=flength)
ax = plt.subplot(3, 1, 1)
librosa.display.waveshow(wave, alpha=0.5)
plt.plot(t, rms[0], color="r")
plt.ylim((-1, 1))
plt.title("Wave&Featurres")
x = np.array(range(200))
#x = np.array(range(len(cent[0])))
y = np.array(cent[0])
#plt.hist(cent[0], color = 'blue', edgecolor = 'black', bins = int(cent.max()/100))
plt.show()
x = np.linspace(1, 4000, 4000)
y = f(x)
plt.plot(x, y)
plt.show()
def f(t):
return 1.0025+0.002*np.sin(1.25*3.14*t/30)
#return x ** 2
@ -43,21 +73,18 @@ flength = 22050//fps
y, sr = librosa.load(audio_input_file)
rms = librosa.feature.rms(y=y, frame_length=flength, hop_length=flength)
wave, sr = librosa.load(audio_input_file)
rms = librosa.feature.rms(y=wave, frame_length=flength, hop_length=flength)
#rms = librosa.feature.rms(y=y, frame_length=735, hop_length=735)
cent = librosa.feature.spectral_centroid(y=y, sr=sr,n_fft=flength, hop_length=flength)
duration = int(math.ceil(librosa.get_duration(y=y, sr=sr)))
#rms = librosa.feature.rms(y=wave, frame_length=735, hop_length=735)
cent = librosa.feature.spectral_centroid(y=wave, sr=sr,n_fft=flength, hop_length=flength)
duration = int(math.ceil(librosa.get_duration(y=wave, sr=sr)))
frames = duration * fps
print("RMS SIZE: " + str(len(rms[0])))
print("CEN SIZE: " + str(len(cent[0])))
print("TOTAL FRAMES: " + str(frames))
# sr.len /22050 = duration
# rms.len * 30 = duration
# rms[i] mi da la potenza media del frame iesimo
@ -76,28 +103,11 @@ try:
print("---------------")
print("")
for frame in range(rms.size):
for frame in range(cent.size):
print(str(frame) + ":(" + str(cent[0][frame]) + "),", end="")
except:
print(exception)
x = np.array(range(200))
#x = np.array(range(len(cent[0])))
y = np.array(cent[0])
plt.hist(cent[0], color = 'blue', edgecolor = 'black',
bins = int(cent.max()/100))
plt.show()
x = np.linspace(1, 4000, 4000)
y = f(x)
plt.plot(x, y)
plt.show()
plotting_stuffs()